id sid tid token lemma pos fcis-30504 1 1 frontiers frontier NOUN fcis-30504 1 2 in in ADP fcis-30504 1 3 computing computing NOUN fcis-30504 1 4 and and CCONJ fcis-30504 1 5 intelligent intelligent ADJ fcis-30504 1 6 systems system NOUN fcis-30504 1 7 issn issn VERB fcis-30504 1 8 : : PUNCT fcis-30504 1 9 2832 2832 NUM fcis-30504 1 10 - - SYM fcis-30504 1 11 6024 6024 NUM fcis-30504 1 12 | | NOUN fcis-30504 1 13 vol vol NOUN fcis-30504 1 14 . . PROPN fcis-30504 2 1 12 12 NUM fcis-30504 2 2 , , PUNCT fcis-30504 2 3 no no INTJ fcis-30504 2 4 . . NOUN fcis-30504 2 5 1 1 NUM fcis-30504 2 6 , , PUNCT fcis-30504 2 7 2025 2025 NUM fcis-30504 2 8 61 61 NUM fcis-30504 2 9 design design NOUN fcis-30504 2 10 and and CCONJ fcis-30504 2 11 optimization optimization NOUN fcis-30504 2 12 of of ADP fcis-30504 2 13 multimodal multimodal ADJ fcis-30504 2 14 hybrid hybrid ADJ fcis-30504 2 15 architectures architecture NOUN fcis-30504 2 16 based base VERB fcis-30504 2 17 on on ADP fcis-30504 2 18 quantum quantum NOUN fcis-30504 2 19 computing computing NOUN fcis-30504 2 20 siqi siqi NOUN fcis-30504 2 21 liu liu PROPN fcis-30504 2 22 * * PUNCT fcis-30504 2 23 college college PROPN fcis-30504 2 24 of of ADP fcis-30504 2 25 basic basic ADJ fcis-30504 2 26 medicine medicine NOUN fcis-30504 2 27 , , PUNCT fcis-30504 2 28 tianjin tianjin PROPN fcis-30504 2 29 medical medical PROPN fcis-30504 2 30 university university PROPN fcis-30504 2 31 , , PUNCT fcis-30504 2 32 tianjin tianjin PROPN fcis-30504 2 33 , , PUNCT fcis-30504 2 34 china china PROPN fcis-30504 2 35 * * PUNCT fcis-30504 2 36 corresponding correspond VERB fcis-30504 2 37 author author NOUN fcis-30504 2 38 email email NOUN fcis-30504 2 39 : : PUNCT fcis-30504 2 40 susansusan0709@qq.com susansusan0709@qq.com NUM fcis-30504 2 41 abstract abstract NOUN fcis-30504 2 42 : : PUNCT fcis-30504 2 43 in in ADP fcis-30504 2 44 this this DET fcis-30504 2 45 paper paper NOUN fcis-30504 2 46 , , PUNCT fcis-30504 2 47 a a DET fcis-30504 2 48 hybrid hybrid ADJ fcis-30504 2 49 model model NOUN fcis-30504 2 50 framework framework NOUN fcis-30504 2 51 based base VERB fcis-30504 2 52 on on ADP fcis-30504 2 53 quantum quantum NOUN fcis-30504 2 54 computing computing NOUN fcis-30504 2 55 optimization optimization NOUN fcis-30504 2 56 is be AUX fcis-30504 2 57 proposed propose VERB fcis-30504 2 58 for for ADP fcis-30504 2 59 resource resource NOUN fcis-30504 2 60 demand demand NOUN fcis-30504 2 61 forecasting forecasting NOUN fcis-30504 2 62 and and CCONJ fcis-30504 2 63 data datum NOUN fcis-30504 2 64 classification classification NOUN fcis-30504 2 65 tasks task NOUN fcis-30504 2 66 . . PUNCT fcis-30504 3 1 the the DET fcis-30504 3 2 study study NOUN fcis-30504 3 3 first first ADV fcis-30504 3 4 constructs construct VERB fcis-30504 3 5 an an DET fcis-30504 3 6 ar ar NOUN fcis-30504 3 7 model model NOUN fcis-30504 3 8 for for ADP fcis-30504 3 9 demand demand NOUN fcis-30504 3 10 forecasting forecasting NOUN fcis-30504 3 11 , , PUNCT fcis-30504 3 12 determines determine VERB fcis-30504 3 13 the the DET fcis-30504 3 14 lag lag NOUN fcis-30504 3 15 order order NOUN fcis-30504 3 16 by by ADP fcis-30504 3 17 pacf pacf NOUN fcis-30504 3 18 and and CCONJ fcis-30504 3 19 acf acf PROPN fcis-30504 3 20 , , PUNCT fcis-30504 3 21 and and CCONJ fcis-30504 3 22 transforms transform VERB fcis-30504 3 23 the the DET fcis-30504 3 24 model model NOUN fcis-30504 3 25 parameters parameter NOUN fcis-30504 3 26 into into ADP fcis-30504 3 27 qubo qubo NOUN fcis-30504 3 28 form form NOUN fcis-30504 3 29 for for ADP fcis-30504 3 30 optimization optimization NOUN fcis-30504 3 31 and and CCONJ fcis-30504 3 32 solution solution NOUN fcis-30504 3 33 after after ADP fcis-30504 3 34 discretization discretization NOUN fcis-30504 3 35 . . PUNCT fcis-30504 4 1 secondly secondly ADV fcis-30504 4 2 , , PUNCT fcis-30504 4 3 for for ADP fcis-30504 4 4 svm svm ADJ fcis-30504 4 5 classification classification NOUN fcis-30504 4 6 , , PUNCT fcis-30504 4 7 the the DET fcis-30504 4 8 penalty penalty NOUN fcis-30504 4 9 function function NOUN fcis-30504 4 10 method method NOUN fcis-30504 4 11 is be AUX fcis-30504 4 12 adopted adopt VERB fcis-30504 4 13 to to PART fcis-30504 4 14 transform transform VERB fcis-30504 4 15 the the DET fcis-30504 4 16 constraints constraint NOUN fcis-30504 4 17 into into ADP fcis-30504 4 18 unconstrained unconstrained ADJ fcis-30504 4 19 optimization optimization NOUN fcis-30504 4 20 , , PUNCT fcis-30504 4 21 and and CCONJ fcis-30504 4 22 the the DET fcis-30504 4 23 qubo qubo PROPN fcis-30504 4 24 model model NOUN fcis-30504 4 25 is be AUX fcis-30504 4 26 constructed construct VERB fcis-30504 4 27 to to PART fcis-30504 4 28 achieve achieve VERB fcis-30504 4 29 classification classification NOUN fcis-30504 4 30 boundary boundary ADJ fcis-30504 4 31 optimization optimization NOUN fcis-30504 4 32 by by ADP fcis-30504 4 33 discretizing discretize VERB fcis-30504 4 34 the the DET fcis-30504 4 35 decision decision NOUN fcis-30504 4 36 variables variable NOUN fcis-30504 4 37 and and CCONJ fcis-30504 4 38 introducing introduce VERB fcis-30504 4 39 penalty penalty NOUN fcis-30504 4 40 function function NOUN fcis-30504 4 41 terms term NOUN fcis-30504 4 42 . . PUNCT fcis-30504 5 1 finally finally ADV fcis-30504 5 2 , , PUNCT fcis-30504 5 3 in in ADP fcis-30504 5 4 the the DET fcis-30504 5 5 field field NOUN fcis-30504 5 6 of of ADP fcis-30504 5 7 deep deep ADJ fcis-30504 5 8 learning learning NOUN fcis-30504 5 9 , , PUNCT fcis-30504 5 10 a a DET fcis-30504 5 11 parameter parameter NOUN fcis-30504 5 12 optimization optimization NOUN fcis-30504 5 13 method method NOUN fcis-30504 5 14 based base VERB fcis-30504 5 15 on on ADP fcis-30504 5 16 adam adam PROPN fcis-30504 5 17 's 's PART fcis-30504 5 18 algorithm algorithm NOUN fcis-30504 5 19 is be AUX fcis-30504 5 20 proposed propose VERB fcis-30504 5 21 to to PART fcis-30504 5 22 construct construct VERB fcis-30504 5 23 a a DET fcis-30504 5 24 cnn cnn PROPN fcis-30504 5 25 model model NOUN fcis-30504 5 26 by by ADP fcis-30504 5 27 combining combine VERB fcis-30504 5 28 the the DET fcis-30504 5 29 relu relu NOUN fcis-30504 5 30 activation activation NOUN fcis-30504 5 31 function function NOUN fcis-30504 5 32 , , PUNCT fcis-30504 5 33 and and CCONJ fcis-30504 5 34 the the DET fcis-30504 5 35 loss loss NOUN fcis-30504 5 36 function function NOUN fcis-30504 5 37 is be AUX fcis-30504 5 38 transformed transform VERB fcis-30504 5 39 into into ADP fcis-30504 5 40 a a DET fcis-30504 5 41 qubo qubo NOUN fcis-30504 5 42 matrix matrix NOUN fcis-30504 5 43 by by ADP fcis-30504 5 44 parameter parameter NOUN fcis-30504 5 45 quantization quantization NOUN fcis-30504 5 46 technique technique NOUN fcis-30504 5 47 , , PUNCT fcis-30504 5 48 and and CCONJ fcis-30504 5 49 the the DET fcis-30504 5 50 optimal optimal ADJ fcis-30504 5 51 parameter parameter NOUN fcis-30504 5 52 configurations configuration NOUN fcis-30504 5 53 are be AUX fcis-30504 5 54 solved solve VERB fcis-30504 5 55 by by ADP fcis-30504 5 56 using use VERB fcis-30504 5 57 quantum quantum ADJ fcis-30504 5 58 computation computation NOUN fcis-30504 5 59 . . PUNCT fcis-30504 6 1 the the DET fcis-30504 6 2 results result NOUN fcis-30504 6 3 show show VERB fcis-30504 6 4 that that SCONJ fcis-30504 6 5 the the DET fcis-30504 6 6 framework framework NOUN fcis-30504 6 7 achieves achieve VERB fcis-30504 6 8 good good ADJ fcis-30504 6 9 results result NOUN fcis-30504 6 10 in in ADP fcis-30504 6 11 both both DET fcis-30504 6 12 prediction prediction NOUN fcis-30504 6 13 accuracy accuracy NOUN fcis-30504 6 14 and and CCONJ fcis-30504 6 15 classification classification NOUN fcis-30504 6 16 performance performance NOUN fcis-30504 6 17 , , PUNCT fcis-30504 6 18 providing provide VERB fcis-30504 6 19 a a DET fcis-30504 6 20 new new ADJ fcis-30504 6 21 solution solution NOUN fcis-30504 6 22 for for ADP fcis-30504 6 23 complex complex ADJ fcis-30504 6 24 optimization optimization NOUN fcis-30504 6 25 situations situation NOUN fcis-30504 6 26 . . PUNCT fcis-30504 7 1 keywords keyword NOUN fcis-30504 7 2 : : PUNCT fcis-30504 7 3 ar ar NOUN fcis-30504 7 4 model model PROPN fcis-30504 7 5 ; ; PUNCT fcis-30504 7 6 cnn cnn PROPN fcis-30504 7 7 model model NOUN fcis-30504 7 8 ; ; PUNCT fcis-30504 7 9 svm svm PROPN fcis-30504 7 10 model model NOUN fcis-30504 7 11 ; ; PUNCT fcis-30504 7 12 qubo qubo PROPN fcis-30504 7 13 model model NOUN fcis-30504 7 14 . . PUNCT fcis-30504 8 1 1 1 X fcis-30504 8 2 . . X fcis-30504 8 3 introduction introduction NOUN fcis-30504 8 4 resource resource NOUN fcis-30504 8 5 demand demand NOUN fcis-30504 8 6 prediction prediction NOUN fcis-30504 8 7 and and CCONJ fcis-30504 8 8 data datum NOUN fcis-30504 8 9 classification classification NOUN fcis-30504 8 10 , , PUNCT fcis-30504 8 11 as as SCONJ fcis-30504 8 12 the the DET fcis-30504 8 13 core core NOUN fcis-30504 8 14 technology technology NOUN fcis-30504 8 15 to to PART fcis-30504 8 16 support support VERB fcis-30504 8 17 decision decision NOUN fcis-30504 8 18 - - PUNCT fcis-30504 8 19 making making NOUN fcis-30504 8 20 , , PUNCT fcis-30504 8 21 are be AUX fcis-30504 8 22 facing face VERB fcis-30504 8 23 the the DET fcis-30504 8 24 dual dual ADJ fcis-30504 8 25 challenges challenge NOUN fcis-30504 8 26 of of ADP fcis-30504 8 27 explosive explosive ADJ fcis-30504 8 28 growth growth NOUN fcis-30504 8 29 of of ADP fcis-30504 8 30 data datum NOUN fcis-30504 8 31 scale scale NOUN fcis-30504 8 32 and and CCONJ fcis-30504 8 33 enhanced enhanced ADJ fcis-30504 8 34 dynamics dynamic NOUN fcis-30504 8 35 of of ADP fcis-30504 8 36 complex complex ADJ fcis-30504 8 37 systems system NOUN fcis-30504 8 38 . . PUNCT fcis-30504 9 1 traditional traditional ADJ fcis-30504 9 2 prediction prediction NOUN fcis-30504 9 3 models model NOUN fcis-30504 9 4 such such ADJ fcis-30504 9 5 as as ADP fcis-30504 9 6 ar ar NOUN fcis-30504 9 7 models[1 models[1 PROPN fcis-30504 9 8 ] ] PUNCT fcis-30504 9 9 suffer suffer VERB fcis-30504 9 10 from from ADP fcis-30504 9 11 high high ADJ fcis-30504 9 12 complexity complexity NOUN fcis-30504 9 13 of of ADP fcis-30504 9 14 parameter parameter NOUN fcis-30504 9 15 optimization optimization NOUN fcis-30504 9 16 in in ADP fcis-30504 9 17 time time NOUN fcis-30504 9 18 - - PUNCT fcis-30504 9 19 series series NOUN fcis-30504 9 20 analysis analysis NOUN fcis-30504 9 21 , , PUNCT fcis-30504 9 22 while while SCONJ fcis-30504 9 23 classical classical ADJ fcis-30504 9 24 classification classification NOUN fcis-30504 9 25 algorithms algorithm NOUN fcis-30504 9 26 such such ADJ fcis-30504 9 27 as as ADP fcis-30504 9 28 svm[2 svm[2 NUM fcis-30504 9 29 ] ] PUNCT fcis-30504 9 30 face face NOUN fcis-30504 9 31 computational computational ADJ fcis-30504 9 32 efficiency efficiency NOUN fcis-30504 9 33 bottlenecks bottleneck NOUN fcis-30504 9 34 when when SCONJ fcis-30504 9 35 dealing deal VERB fcis-30504 9 36 with with ADP fcis-30504 9 37 highdimensional highdimensional ADJ fcis-30504 9 38 data datum NOUN fcis-30504 9 39 . . PUNCT fcis-30504 10 1 meanwhile meanwhile ADV fcis-30504 10 2 , , PUNCT fcis-30504 10 3 although although SCONJ fcis-30504 10 4 deep deep ADJ fcis-30504 10 5 learning learning NOUN fcis-30504 10 6 models[3 models[3 PROPN fcis-30504 10 7 ] ] X fcis-30504 10 8 have have AUX fcis-30504 10 9 made make VERB fcis-30504 10 10 significant significant ADJ fcis-30504 10 11 progress progress NOUN fcis-30504 10 12 through through ADP fcis-30504 10 13 gradient gradient ADJ fcis-30504 10 14 descent descent NOUN fcis-30504 10 15 optimization optimization NOUN fcis-30504 10 16 , , PUNCT fcis-30504 10 17 the the DET fcis-30504 10 18 exponential exponential ADJ fcis-30504 10 19 growth growth NOUN fcis-30504 10 20 of of ADP fcis-30504 10 21 the the DET fcis-30504 10 22 parameter parameter NOUN fcis-30504 10 23 space space NOUN fcis-30504 10 24 makes make VERB fcis-30504 10 25 them they PRON fcis-30504 10 26 face face VERB fcis-30504 10 27 the the DET fcis-30504 10 28 dual dual ADJ fcis-30504 10 29 challenges challenge NOUN fcis-30504 10 30 of of ADP fcis-30504 10 31 local local ADJ fcis-30504 10 32 optimal optimal ADJ fcis-30504 10 33 traps trap NOUN fcis-30504 10 34 and and CCONJ fcis-30504 10 35 computational computational ADJ fcis-30504 10 36 resource resource NOUN fcis-30504 10 37 limitations limitation NOUN fcis-30504 10 38 . . PUNCT fcis-30504 11 1 with with ADP fcis-30504 11 2 the the DET fcis-30504 11 3 breakthrough breakthrough NOUN fcis-30504 11 4 of of ADP fcis-30504 11 5 quantum quantum NOUN fcis-30504 11 6 computing computing NOUN fcis-30504 11 7 technology technology NOUN fcis-30504 11 8 , , PUNCT fcis-30504 11 9 its its PRON fcis-30504 11 10 unique unique ADJ fcis-30504 11 11 advantage advantage NOUN fcis-30504 11 12 in in ADP fcis-30504 11 13 combinatorial combinatorial ADJ fcis-30504 11 14 optimization optimization NOUN fcis-30504 11 15 provides provide VERB fcis-30504 11 16 new new ADJ fcis-30504 11 17 ideas idea NOUN fcis-30504 11 18 to to PART fcis-30504 11 19 solve solve VERB fcis-30504 11 20 the the DET fcis-30504 11 21 above above ADJ fcis-30504 11 22 dilemma[4 dilemma[4 NOUN fcis-30504 11 23 ] ] PUNCT fcis-30504 11 24 . . PUNCT fcis-30504 12 1 in in ADP fcis-30504 12 2 this this DET fcis-30504 12 3 paper paper NOUN fcis-30504 12 4 , , PUNCT fcis-30504 12 5 for for ADP fcis-30504 12 6 the the DET fcis-30504 12 7 tasks task NOUN fcis-30504 12 8 of of ADP fcis-30504 12 9 resource resource NOUN fcis-30504 12 10 demand demand NOUN fcis-30504 12 11 prediction prediction NOUN fcis-30504 12 12 and and CCONJ fcis-30504 12 13 data datum NOUN fcis-30504 12 14 classification classification NOUN fcis-30504 12 15 , , PUNCT fcis-30504 12 16 we we PRON fcis-30504 12 17 propose propose VERB fcis-30504 12 18 a a DET fcis-30504 12 19 hybrid hybrid ADJ fcis-30504 12 20 framework framework NOUN fcis-30504 12 21 integrating integrate VERB fcis-30504 12 22 classical classical ADJ fcis-30504 12 23 models model NOUN fcis-30504 12 24 and and CCONJ fcis-30504 12 25 quantum quantum NOUN fcis-30504 12 26 optimization optimization NOUN fcis-30504 12 27 techniques[5 techniques[5 PROPN fcis-30504 12 28 ] ] PUNCT fcis-30504 12 29 , , PUNCT fcis-30504 12 30 which which PRON fcis-30504 12 31 breaks break VERB fcis-30504 12 32 through through ADP fcis-30504 12 33 the the DET fcis-30504 12 34 performance performance NOUN fcis-30504 12 35 boundaries boundary NOUN fcis-30504 12 36 of of ADP fcis-30504 12 37 traditional traditional ADJ fcis-30504 12 38 methods method NOUN fcis-30504 12 39 by by ADP fcis-30504 12 40 transforming transform VERB fcis-30504 12 41 the the DET fcis-30504 12 42 traditional traditional ADJ fcis-30504 12 43 model model NOUN fcis-30504 12 44 parameter parameter NOUN fcis-30504 12 45 optimization optimization NOUN fcis-30504 12 46 into into ADP fcis-30504 12 47 the the DET fcis-30504 12 48 form form NOUN fcis-30504 12 49 of of ADP fcis-30504 12 50 quantum quantum NOUN fcis-30504 12 51 unconstrained unconstraine VERB fcis-30504 12 52 binary binary NOUN fcis-30504 12 53 optimization optimization NOUN fcis-30504 12 54 ( ( PUNCT fcis-30504 12 55 qubo qubo PROPN fcis-30504 12 56 ) ) PUNCT fcis-30504 12 57 and and CCONJ fcis-30504 12 58 combining combine VERB fcis-30504 12 59 with with ADP fcis-30504 12 60 the the DET fcis-30504 12 61 parallel parallel ADJ fcis-30504 12 62 searching searching NOUN fcis-30504 12 63 capability capability NOUN fcis-30504 12 64 of of ADP fcis-30504 12 65 quantum quantum NOUN fcis-30504 12 66 computing[6 computing[6 NOUN fcis-30504 12 67 ] ] PUNCT fcis-30504 12 68 . . PUNCT fcis-30504 13 1 the the DET fcis-30504 13 2 research research NOUN fcis-30504 13 3 results result NOUN fcis-30504 13 4 show show VERB fcis-30504 13 5 that that SCONJ fcis-30504 13 6 the the DET fcis-30504 13 7 framework framework NOUN fcis-30504 13 8 significantly significantly ADV fcis-30504 13 9 improves improve VERB fcis-30504 13 10 the the DET fcis-30504 13 11 prediction prediction NOUN fcis-30504 13 12 accuracy accuracy NOUN fcis-30504 13 13 and and CCONJ fcis-30504 13 14 classification classification NOUN fcis-30504 13 15 efficiency efficiency NOUN fcis-30504 13 16 while while SCONJ fcis-30504 13 17 maintaining maintain VERB fcis-30504 13 18 the the DET fcis-30504 13 19 model model NOUN fcis-30504 13 20 interpretability interpretability NOUN fcis-30504 13 21 , , PUNCT fcis-30504 13 22 providing provide VERB fcis-30504 13 23 an an DET fcis-30504 13 24 interdisciplinary interdisciplinary ADJ fcis-30504 13 25 solution solution NOUN fcis-30504 13 26 for for ADP fcis-30504 13 27 complex complex ADJ fcis-30504 13 28 system system NOUN fcis-30504 13 29 optimization optimization NOUN fcis-30504 13 30 . . PUNCT fcis-30504 14 1 2 2 X fcis-30504 14 2 . . NUM fcis-30504 14 3 projected project VERB fcis-30504 14 4 resource resource NOUN fcis-30504 14 5 requirements requirement NOUN fcis-30504 14 6 ( ( PUNCT fcis-30504 14 7 1 1 X fcis-30504 14 8 ) ) PUNCT fcis-30504 14 9 establish establish VERB fcis-30504 14 10 the the DET fcis-30504 14 11 ar ar NOUN fcis-30504 14 12 model model NOUN fcis-30504 14 13 : : PUNCT fcis-30504 14 14 ˆ ˆ PROPN fcis-30504 14 15 ∑ ∑ PROPN fcis-30504 14 16     SPACE fcis-30504 14 17 ( ( PUNCT fcis-30504 14 18 1 1 NUM fcis-30504 14 19 ) ) PUNCT fcis-30504 14 20 ( ( PUNCT fcis-30504 14 21 2 2 X fcis-30504 14 22 ) ) PUNCT fcis-30504 14 23 minimize minimize VERB fcis-30504 14 24 the the DET fcis-30504 14 25 sum sum NOUN fcis-30504 14 26 of of ADP fcis-30504 14 27 squares square NOUN fcis-30504 14 28 of of ADP fcis-30504 14 29 error error NOUN fcis-30504 14 30 ( ( PUNCT fcis-30504 14 31 least least ADJ fcis-30504 14 32 squares square NOUN fcis-30504 14 33 ): ): PUNCT fcis-30504 14 34 min min NOUN fcis-30504 14 35 , , PUNCT fcis-30504 14 36     SPACE fcis-30504 14 37 ∑ ∑ ADV fcis-30504 14 38     SPACE fcis-30504 14 39 ∑ ∑ PUNCT fcis-30504 14 40         SPACE fcis-30504 14 41 ( ( PUNCT fcis-30504 14 42 2 2 NUM fcis-30504 14 43 ) ) PUNCT fcis-30504 14 44 ( ( PUNCT fcis-30504 14 45 3 3 X fcis-30504 14 46 ) ) PUNCT fcis-30504 14 47 parameter parameter NOUN fcis-30504 14 48 discretization discretization NOUN fcis-30504 14 49 : : PUNCT fcis-30504 14 50 express express VERB fcis-30504 14 51 the the DET fcis-30504 14 52 parameter parameter NOUN fcis-30504 14 53 as as ADP fcis-30504 14 54 : : PUNCT fcis-30504 14 55 min min VERB fcis-30504 14 56 ∑ ∑ PROPN fcis-30504 14 57     SPACE fcis-30504 14 58 , , PUNCT fcis-30504 14 59 2 2 NUM fcis-30504 14 60 , , PUNCT fcis-30504 14 61 , , PUNCT fcis-30504 14 62 ∈ ∈ PROPN fcis-30504 14 63 0,1 0,1 NUM fcis-30504 14 64 ( ( PUNCT fcis-30504 14 65 3 3 NUM fcis-30504 14 66 ) ) PUNCT fcis-30504 14 67 and and CCONJ fcis-30504 14 68 express express VERB fcis-30504 14 69 the the DET fcis-30504 14 70 parameter parameter NOUN fcis-30504 14 71 as as ADP fcis-30504 14 72 : : PUNCT fcis-30504 14 73 , , PUNCT fcis-30504 14 74 ∑ ∑ ADP fcis-30504 14 75     SPACE fcis-30504 14 76 , , PUNCT fcis-30504 14 77 2 2 NUM fcis-30504 14 78 ( ( PUNCT fcis-30504 14 79 4 4 NUM fcis-30504 14 80 ) ) PUNCT fcis-30504 14 81 ( ( PUNCT fcis-30504 14 82 4 4 X fcis-30504 14 83 ) ) PUNCT fcis-30504 14 84 set set VERB fcis-30504 14 85 the the DET fcis-30504 14 86 parameter parameter NOUN fcis-30504 14 87 value value NOUN fcis-30504 14 88 range range NOUN fcis-30504 14 89 and and CCONJ fcis-30504 14 90 accuracy accuracy NOUN fcis-30504 14 91 : : PUNCT fcis-30504 14 92 set set NOUN fcis-30504 14 93 c c PROPN fcis-30504 15 1 [ [ X fcis-30504 15 2 8000,11000 8000,11000 X fcis-30504 15 3 ] ] X fcis-30504 15 4 . . PUNCT fcis-30504 16 1 200 200 NUM fcis-30504 16 2 ( ( PUNCT fcis-30504 16 3 5 5 NUM fcis-30504 16 4 ) ) PUNCT fcis-30504 16 5 0.1333 0.1333 NUM fcis-30504 16 6 ( ( PUNCT fcis-30504 16 7 6 6 NUM fcis-30504 16 8 ) ) PUNCT fcis-30504 16 9 ( ( PUNCT fcis-30504 16 10 5 5 X fcis-30504 16 11 ) ) PUNCT fcis-30504 16 12 turn turn VERB fcis-30504 16 13 the the DET fcis-30504 16 14 ar ar NOUN fcis-30504 16 15 model model NOUN fcis-30504 16 16 into into ADP fcis-30504 16 17 the the DET fcis-30504 16 18 optimization optimization NOUN fcis-30504 16 19 model model NOUN fcis-30504 16 20 qubo qubo PROPN fcis-30504 16 21 , , PUNCT fcis-30504 16 22 set set VERB fcis-30504 16 23 the the DET fcis-30504 16 24 objective objective ADJ fcis-30504 16 25 function function NOUN fcis-30504 16 26 as as ADP fcis-30504 16 27 , , PUNCT fcis-30504 16 28 and and CCONJ fcis-30504 16 29 bring bring VERB fcis-30504 16 30 the the DET fcis-30504 16 31 two two NUM fcis-30504 16 32 types type NOUN fcis-30504 16 33 in in ADP fcis-30504 16 34 the the DET fcis-30504 16 35 third third ADJ fcis-30504 16 36 step step NOUN fcis-30504 16 37 , , PUNCT fcis-30504 16 38 to to PART fcis-30504 16 39 build build VERB fcis-30504 16 40 the the DET fcis-30504 16 41 objective objective ADJ fcis-30504 16 42 function function NOUN fcis-30504 16 43 , , PUNCT fcis-30504 16 44 and and CCONJ fcis-30504 16 45 the the DET fcis-30504 16 46 final final ADJ fcis-30504 16 47 optimization optimization NOUN fcis-30504 16 48 goal goal NOUN fcis-30504 16 49 is be AUX fcis-30504 16 50 as as SCONJ fcis-30504 16 51 follows follow VERB fcis-30504 16 52 : : PUNCT fcis-30504 16 53 ∑ ∑ PUNCT fcis-30504 16 54     SPACE fcis-30504 16 55 ∑ ∑ PUNCT fcis-30504 16 56         SPACE fcis-30504 16 57 ( ( PUNCT fcis-30504 16 58 7 7 NUM fcis-30504 16 59 ) ) PUNCT fcis-30504 16 60 min min NOUN fcis-30504 16 61 ∈ ∈ PROPN fcis-30504 16 62 , , PUNCT fcis-30504 16 63     SPACE fcis-30504 16 64 min min PROPN fcis-30504 16 65 ∈ ∈ PROPN fcis-30504 16 66 , , PUNCT fcis-30504 16 67     SPACE fcis-30504 16 68 ( ( PUNCT fcis-30504 16 69 8) 8) NUM fcis-30504 16 70 where where SCONJ fcis-30504 16 71 represents represent VERB fcis-30504 16 72 the the DET fcis-30504 16 73 vector vector NOUN fcis-30504 16 74 containing contain VERB fcis-30504 16 75 all all DET fcis-30504 16 76 binary binary ADJ fcis-30504 16 77 variables variable NOUN fcis-30504 16 78 , , PUNCT fcis-30504 16 79 the the DET fcis-30504 16 80 length length NOUN fcis-30504 16 81 is be AUX fcis-30504 16 82 , , PUNCT fcis-30504 16 83 represents represent VERB fcis-30504 16 84 the the DET fcis-30504 16 85 symmetrical symmetrical ADJ fcis-30504 16 86 quadratic quadratic ADJ fcis-30504 16 87 term term NOUN fcis-30504 16 88 coefficient coefficient NOUN fcis-30504 16 89 matrix matrix NOUN fcis-30504 16 90 , , PUNCT fcis-30504 16 91 size size NOUN fcis-30504 16 92 nn nn PROPN fcis-30504 16 93 , , PUNCT fcis-30504 17 1 q q PUNCT fcis-30504 17 2 represents represent VERB fcis-30504 17 3 the the DET fcis-30504 17 4 vector vector NOUN fcis-30504 17 5 of of ADP fcis-30504 17 6 primary primary ADJ fcis-30504 17 7 term term NOUN fcis-30504 17 8 coefficient coefficient NOUN fcis-30504 17 9 , , PUNCT fcis-30504 17 10 length length NOUN fcis-30504 17 11 , , PUNCT fcis-30504 17 12 const const NOUN fcis-30504 17 13 represents represent VERB fcis-30504 17 14 the the DET fcis-30504 17 15 constant constant ADJ fcis-30504 17 16 term term NOUN fcis-30504 17 17 , , PUNCT fcis-30504 17 18 independent independent ADJ fcis-30504 17 19 of of ADP fcis-30504 17 20 the the DET fcis-30504 17 21 optimization optimization NOUN fcis-30504 17 22 objective objective NOUN fcis-30504 17 23 , , PUNCT fcis-30504 17 24 can can AUX fcis-30504 17 25 be be AUX fcis-30504 17 26 ignored ignore VERB fcis-30504 17 27 . . PUNCT fcis-30504 18 1 ( ( PUNCT fcis-30504 18 2 6 6 X fcis-30504 18 3 ) ) PUNCT fcis-30504 18 4 make make VERB fcis-30504 18 5 t t PROPN fcis-30504 18 6 10 10 NUM fcis-30504 18 7 , , PUNCT fcis-30504 18 8 bring bring VERB fcis-30504 18 9 the the DET fcis-30504 18 10 parameter parameter NOUN fcis-30504 18 11 c c PROPN fcis-30504 18 12 and and CCONJ fcis-30504 18 13 the the DET fcis-30504 18 14 parameter parameter NOUN fcis-30504 18 15 in in ADP fcis-30504 18 16 the the DET fcis-30504 18 17 first first ADJ fcis-30504 18 18 step step NOUN fcis-30504 18 19 sub sub NOUN fcis-30504 18 20 , , PUNCT fcis-30504 18 21 make make VERB fcis-30504 18 22 10 10 NUM fcis-30504 18 23 , , PUNCT fcis-30504 18 24 predict predict VERB fcis-30504 18 25 the the DET fcis-30504 18 26 demand demand NOUN fcis-30504 18 27 in in ADP fcis-30504 18 28 october october PROPN fcis-30504 18 29 . . PUNCT fcis-30504 19 1 3 3 X fcis-30504 19 2 . . X fcis-30504 19 3 classification classification NOUN fcis-30504 19 4 of of ADP fcis-30504 19 5 data datum NOUN fcis-30504 19 6 sets set NOUN fcis-30504 19 7 ( ( PUNCT fcis-30504 19 8 1 1 NUM fcis-30504 19 9 ) ) PUNCT fcis-30504 19 10 to to PART fcis-30504 19 11 express express VERB fcis-30504 19 12 the the DET fcis-30504 19 13 original original ADJ fcis-30504 19 14 optimization optimization NOUN fcis-30504 19 15 as as ADP fcis-30504 19 16 : : PUNCT fcis-30504 19 17 62 62 NUM fcis-30504 19 18 min min NOUN fcis-30504 19 19 , , PUNCT fcis-30504 19 20     SPACE fcis-30504 20 1 ‖ ‖ PROPN fcis-30504 20 2 ‖ ‖ PROPN fcis-30504 20 3 ( ( PUNCT fcis-30504 20 4 9 9 NUM fcis-30504 20 5 ) ) PUNCT fcis-30504 20 6 subject subject NOUN fcis-30504 20 7 to to ADP fcis-30504 20 8 : : PUNCT fcis-30504 20 9 , , PUNCT fcis-30504 20 10 1 1 NUM fcis-30504 20 11 0 0 NUM fcis-30504 20 12 , , PUNCT fcis-30504 20 13 1,2 1,2 NUM fcis-30504 20 14 , , PUNCT fcis-30504 20 15 … … PUNCT fcis-30504 20 16 , , PUNCT fcis-30504 20 17 ( ( PUNCT fcis-30504 20 18 10 10 NUM fcis-30504 20 19 ) ) PUNCT fcis-30504 20 20 ( ( PUNCT fcis-30504 20 21 2 2 NUM fcis-30504 20 22 ) ) PUNCT fcis-30504 20 23 by by ADP fcis-30504 20 24 using use VERB fcis-30504 20 25 the the DET fcis-30504 20 26 penalty penalty NOUN fcis-30504 20 27 function function NOUN fcis-30504 20 28 method method NOUN fcis-30504 20 29 , , PUNCT fcis-30504 20 30 the the DET fcis-30504 20 31 constraint constraint NOUN fcis-30504 20 32 condition condition NOUN fcis-30504 20 33 is be AUX fcis-30504 20 34 merged merge VERB fcis-30504 20 35 into into ADP fcis-30504 20 36 the the DET fcis-30504 20 37 objective objective ADJ fcis-30504 20 38 function function NOUN fcis-30504 20 39 through through ADP fcis-30504 20 40 the the DET fcis-30504 20 41 way way NOUN fcis-30504 20 42 of of ADP fcis-30504 20 43 the the DET fcis-30504 20 44 penalty penalty NOUN fcis-30504 20 45 term term NOUN fcis-30504 20 46 , , PUNCT fcis-30504 20 47 and and CCONJ fcis-30504 20 48 thus thus ADV fcis-30504 20 49 becomes become VERB fcis-30504 20 50 the the DET fcis-30504 20 51 unconstrained unconstrained ADJ fcis-30504 20 52 function function NOUN fcis-30504 20 53 . . PUNCT fcis-30504 21 1 ( ( PUNCT fcis-30504 21 2 3 3 X fcis-30504 21 3 ) ) PUNCT fcis-30504 21 4 discrete discrete VERB fcis-30504 21 5 the the DET fcis-30504 21 6 decision decision NOUN fcis-30504 21 7 variables variable NOUN fcis-30504 21 8 : : PUNCT fcis-30504 21 9 let let VERB fcis-30504 21 10 ( ( PUNCT fcis-30504 21 11 , , PUNCT fcis-30504 21 12 ) ) PUNCT fcis-30504 21 13 be be AUX fcis-30504 21 14 the the DET fcis-30504 21 15 decision decision NOUN fcis-30504 21 16 variable variable NOUN fcis-30504 21 17 , , PUNCT fcis-30504 21 18 set set VERB fcis-30504 21 19 : : PUNCT fcis-30504 21 20 ∈ ∈ PROPN fcis-30504 21 21 , , PUNCT fcis-30504 21 22 ( ( PUNCT fcis-30504 21 23 11 11 NUM fcis-30504 21 24 ) ) PUNCT fcis-30504 21 25 then then ADV fcis-30504 21 26 : : PUNCT fcis-30504 21 27 ∆ ∆ PROPN fcis-30504 21 28 ( ( PUNCT fcis-30504 21 29 12 12 NUM fcis-30504 21 30 ) ) PUNCT fcis-30504 21 31 and and CCONJ fcis-30504 21 32 then then ADV fcis-30504 21 33 : : PUNCT fcis-30504 21 34 ∈ ∈ PROPN fcis-30504 21 35 , , PUNCT fcis-30504 21 36 ( ( PUNCT fcis-30504 21 37 13 13 NUM fcis-30504 21 38 ) ) PUNCT fcis-30504 21 39 ∆ ∆ PROPN fcis-30504 21 40 ( ( PUNCT fcis-30504 21 41 14 14 NUM fcis-30504 21 42 ) ) PUNCT fcis-30504 21 43 ( ( PUNCT fcis-30504 21 44 4 4 X fcis-30504 21 45 ) ) PUNCT fcis-30504 21 46 for for ADP fcis-30504 21 47 each each PRON fcis-30504 21 48 , , PUNCT fcis-30504 21 49 its its PRON fcis-30504 21 50 discretization discretization NOUN fcis-30504 21 51 is be AUX fcis-30504 21 52 expressed express VERB fcis-30504 21 53 as as ADP fcis-30504 21 54 : : PUNCT fcis-30504 21 55 ∑ ∑ ADP fcis-30504 21 56     SPACE fcis-30504 21 57 2 2 NUM fcis-30504 21 58 ∆ ∆ X fcis-30504 21 59 ( ( PUNCT fcis-30504 21 60 15 15 NUM fcis-30504 21 61 ) ) PUNCT fcis-30504 21 62 for for ADP fcis-30504 21 63 each each PRON fcis-30504 21 64 , , PUNCT fcis-30504 21 65 its its PRON fcis-30504 21 66 discretization discretization NOUN fcis-30504 21 67 is be AUX fcis-30504 21 68 expressed express VERB fcis-30504 21 69 as as ADP fcis-30504 21 70 : : PUNCT fcis-30504 21 71 ∑ ∑ ADP fcis-30504 21 72     SPACE fcis-30504 21 73 2 2 NUM fcis-30504 21 74 ∆ ∆ X fcis-30504 21 75 ( ( PUNCT fcis-30504 21 76 16 16 NUM fcis-30504 21 77 ) ) PUNCT fcis-30504 21 78 0 0 NUM fcis-30504 21 79 1 1 NUM fcis-30504 21 80 ( ( PUNCT fcis-30504 21 81 17 17 NUM fcis-30504 21 82 ) ) PUNCT fcis-30504 21 83 ( ( PUNCT fcis-30504 21 84 5 5 X fcis-30504 21 85 ) ) PUNCT fcis-30504 21 86 the the DET fcis-30504 21 87 discretized discretize VERB fcis-30504 21 88 and and CCONJ fcis-30504 21 89 are be AUX fcis-30504 21 90 inserted insert VERB fcis-30504 21 91 into into ADP fcis-30504 21 92 the the DET fcis-30504 21 93 objective objective ADJ fcis-30504 21 94 function function NOUN fcis-30504 21 95 and and CCONJ fcis-30504 21 96 the the DET fcis-30504 21 97 constraints constraint NOUN fcis-30504 21 98 to to PART fcis-30504 21 99 construct construct VERB fcis-30504 21 100 the the DET fcis-30504 21 101 objective objective ADJ fcis-30504 21 102 function function NOUN fcis-30504 21 103 . . PUNCT fcis-30504 22 1 min min NOUN fcis-30504 22 2     SPACE fcis-30504 22 3 ‖ ‖ PROPN fcis-30504 22 4 ‖ ‖ PROPN fcis-30504 22 5 ∑ ∑ PROPN fcis-30504 22 6     SPACE fcis-30504 22 7 ( ( PUNCT fcis-30504 22 8 18 18 NUM fcis-30504 22 9 ) ) PUNCT fcis-30504 22 10 substitute substitute NOUN fcis-30504 22 11 discrete discrete ADJ fcis-30504 22 12 expression expression NOUN fcis-30504 22 13 of of ADP fcis-30504 22 14 : : PUNCT fcis-30504 22 15 : : PUNCT fcis-30504 22 16 ∑ ∑ PUNCT fcis-30504 22 17     SPACE fcis-30504 22 18 2 2 NUM fcis-30504 22 19 ∆ ∆ X fcis-30504 22 20 ( ( PUNCT fcis-30504 22 21 19 19 NUM fcis-30504 22 22 ) ) PUNCT fcis-30504 22 23 ( ( PUNCT fcis-30504 22 24 6 6 X fcis-30504 22 25 ) ) PUNCT fcis-30504 22 26 convert convert VERB fcis-30504 22 27 the the DET fcis-30504 22 28 constraints constraint NOUN fcis-30504 22 29 into into ADP fcis-30504 22 30 the the DET fcis-30504 22 31 penalty penalty NOUN fcis-30504 22 32 functions function NOUN fcis-30504 22 33 . . PUNCT fcis-30504 23 1 penalty penalty NOUN fcis-30504 23 2 max max PROPN fcis-30504 23 3 0,1 0,1 NUM fcis-30504 23 4 ( ( PUNCT fcis-30504 23 5 20 20 NUM fcis-30504 23 6 ) ) PUNCT fcis-30504 23 7 ( ( PUNCT fcis-30504 23 8 7 7 X fcis-30504 23 9 ) ) PUNCT fcis-30504 23 10 build build VERB fcis-30504 23 11 the the DET fcis-30504 23 12 overall overall ADJ fcis-30504 23 13 objective objective ADJ fcis-30504 23 14 function function NOUN fcis-30504 23 15 : : PUNCT fcis-30504 23 16 min min NOUN fcis-30504 23 17 ∑ ∑ PROPN fcis-30504 23 18     SPACE fcis-30504 23 19 ∑ ∑ PART fcis-30504 23 20     SPACE fcis-30504 23 21 max max PROPN fcis-30504 23 22 0,1 0,1 NUM fcis-30504 23 23 ( ( PUNCT fcis-30504 23 24 21 21 NUM fcis-30504 23 25 ) ) PUNCT fcis-30504 23 26 ( ( PUNCT fcis-30504 23 27 8) 8) NUM fcis-30504 23 28 convert convert NOUN fcis-30504 23 29 to to PART fcis-30504 23 30 qubo qubo VERB fcis-30504 23 31 form form NOUN fcis-30504 23 32 : : PUNCT fcis-30504 23 33 ∈ ∈ PROPN fcis-30504 23 34 1,1 1,1 NUM fcis-30504 23 35 , , PUNCT fcis-30504 23 36 ∈ ∈ PROPN fcis-30504 23 37 1,1 1,1 NUM fcis-30504 23 38 ( ( PUNCT fcis-30504 23 39 22 22 NUM fcis-30504 23 40 ) ) PUNCT fcis-30504 23 41 convert convert VERB fcis-30504 23 42 a a DET fcis-30504 23 43 continuous continuous ADJ fcis-30504 23 44 variable variable NOUN fcis-30504 23 45 to to ADP fcis-30504 23 46 a a DET fcis-30504 23 47 binary binary ADJ fcis-30504 23 48 variable variable NOUN fcis-30504 23 49 : : PUNCT fcis-30504 23 50 ∑ ∑ PUNCT fcis-30504 23 51         SPACE fcis-30504 23 52 ∵ ∵ PROPN fcis-30504 23 53 ∈ ∈ PROPN fcis-30504 23 54 1,1 1,1 NUM fcis-30504 23 55 ∴ ∴ NOUN fcis-30504 23 56 1 1 NUM fcis-30504 23 57 ∑ ∑ ADP fcis-30504 23 58         SPACE fcis-30504 23 59 1 1 NUM fcis-30504 23 60 ( ( PUNCT fcis-30504 23 61 23 23 NUM fcis-30504 23 62 ) ) PUNCT fcis-30504 23 63 processing processing NOUN fcis-30504 23 64 penalty penalty NOUN fcis-30504 23 65 function function NOUN fcis-30504 23 66 : : PUNCT fcis-30504 23 67 ∑ ∑ PUNCT fcis-30504 23 68     SPACE fcis-30504 23 69 max max PROPN fcis-30504 23 70 0,1 0,1 NUM fcis-30504 23 71 ( ( PUNCT fcis-30504 23 72 24 24 NUM fcis-30504 23 73 ) ) PUNCT fcis-30504 23 74 then then ADV fcis-30504 23 75 the the DET fcis-30504 23 76 penalty penalty NOUN fcis-30504 23 77 function function NOUN fcis-30504 23 78 is be AUX fcis-30504 23 79 : : PUNCT fcis-30504 23 80 ∑ ∑ INTJ fcis-30504 23 81     SPACE fcis-30504 23 82 . . PUNCT fcis-30504 24 1 make make VERB fcis-30504 24 2 . . PUNCT fcis-30504 25 1 , , PUNCT fcis-30504 25 2 ∈ ∈ NOUN fcis-30504 25 3 0,1 0,1 NUM fcis-30504 25 4 ( ( PUNCT fcis-30504 25 5 25 25 NUM fcis-30504 25 6 ) ) PUNCT fcis-30504 25 7 1 1 NUM fcis-30504 25 8 0 0 NUM fcis-30504 25 9 ( ( PUNCT fcis-30504 25 10 26 26 NUM fcis-30504 25 11 ) ) PUNCT fcis-30504 25 12 then then ADV fcis-30504 25 13 , , PUNCT fcis-30504 25 14 2 2 NUM fcis-30504 25 15 ( ( PUNCT fcis-30504 25 16 27 27 NUM fcis-30504 25 17 ) ) SYM fcis-30504 25 18 2 2 NUM fcis-30504 25 19 ( ( PUNCT fcis-30504 25 20 28 28 NUM fcis-30504 25 21 ) ) PUNCT fcis-30504 25 22 min min NOUN fcis-30504 25 23 ∑ ∑ ADP fcis-30504 25 24     SPACE fcis-30504 25 25 2 2 NUM fcis-30504 25 26 ( ( PUNCT fcis-30504 25 27 29 29 NUM fcis-30504 25 28 ) ) SYM fcis-30504 25 29 4 4 NUM fcis-30504 25 30 . . X fcis-30504 25 31 deep deep ADJ fcis-30504 25 32 learning learning NOUN fcis-30504 25 33 model model NOUN fcis-30504 25 34 building building NOUN fcis-30504 25 35 ( ( PUNCT fcis-30504 25 36 1 1 X fcis-30504 25 37 ) ) PUNCT fcis-30504 25 38 let let VERB fcis-30504 25 39 the the DET fcis-30504 25 40 loss loss NOUN fcis-30504 25 41 function function NOUN fcis-30504 25 42 be be AUX fcis-30504 25 43 , , PUNCT fcis-30504 25 44 and and CCONJ fcis-30504 25 45 be be AUX fcis-30504 25 46 the the DET fcis-30504 25 47 number number NOUN fcis-30504 25 48 of of ADP fcis-30504 25 49 samples sample NOUN fcis-30504 25 50 , , PUNCT fcis-30504 25 51 then then ADV fcis-30504 25 52 : : PUNCT fcis-30504 25 53 ∑ ∑ ADP fcis-30504 25 54     SPACE fcis-30504 25 55 ˆ ˆ NOUN fcis-30504 25 56 , , PUNCT fcis-30504 25 57 ( ( PUNCT fcis-30504 25 58 30 30 NUM fcis-30504 25 59 ) ) PUNCT fcis-30504 25 60 where where SCONJ fcis-30504 25 61 ˆ ˆ ADJ fcis-30504 25 62 is be AUX fcis-30504 25 63 the the DET fcis-30504 25 64 predicted predict VERB fcis-30504 25 65 value value NOUN fcis-30504 25 66 and and CCONJ fcis-30504 25 67 is be AUX fcis-30504 25 68 the the DET fcis-30504 25 69 true true ADJ fcis-30504 25 70 value value NOUN fcis-30504 25 71 . . PUNCT fcis-30504 26 1 ( ( PUNCT fcis-30504 26 2 2 2 X fcis-30504 26 3 ) ) PUNCT fcis-30504 26 4 minimize minimize VERB fcis-30504 26 5 through through ADP fcis-30504 26 6 the the DET fcis-30504 26 7 original original ADJ fcis-30504 26 8 adam adam PROPN fcis-30504 26 9 algorithm algorithm PROPN fcis-30504 26 10 initialization initialization NOUN fcis-30504 26 11 parameters parameter NOUN fcis-30504 26 12 : : PUNCT fcis-30504 26 13 in in ADP fcis-30504 26 14 f f PROPN fcis-30504 26 15 , , PUNCT fcis-30504 26 16 is be AUX fcis-30504 26 17 all all DET fcis-30504 26 18 the the DET fcis-30504 26 19 parameters parameter NOUN fcis-30504 26 20 and and CCONJ fcis-30504 26 21 is be AUX fcis-30504 26 22 random random ADJ fcis-30504 26 23 values value NOUN fcis-30504 26 24 , , PUNCT fcis-30504 26 25 the the DET fcis-30504 26 26 first first ADJ fcis-30504 26 27 moment moment NOUN fcis-30504 26 28 vector vector NOUN fcis-30504 26 29 0 0 NUM fcis-30504 26 30 , , PUNCT fcis-30504 26 31 the the DET fcis-30504 26 32 second second ADJ fcis-30504 26 33 moment moment NOUN fcis-30504 26 34 vector vector NOUN fcis-30504 26 35 0 0 NUM fcis-30504 26 36 , , PUNCT fcis-30504 26 37 the the DET fcis-30504 26 38 hyperparameter hyperparameter NOUN fcis-30504 26 39 a a DET fcis-30504 26 40 0.001 0.001 NUM fcis-30504 26 41 , , PUNCT fcis-30504 26 42 0.9 0.9 NUM fcis-30504 26 43 , , PUNCT fcis-30504 26 44 0.999 0.999 NUM fcis-30504 26 45 , , PUNCT fcis-30504 26 46 10 10 NUM fcis-30504 26 47 . . PUNCT fcis-30504 27 1 iterative iterative NOUN fcis-30504 27 2 update update NOUN fcis-30504 27 3 parameters parameter NOUN fcis-30504 27 4 : : PUNCT fcis-30504 27 5 ( ( PUNCT fcis-30504 27 6 31 31 NUM fcis-30504 27 7 ) ) SYM fcis-30504 27 8 1 1 NUM fcis-30504 27 9 1 1 NUM fcis-30504 27 10 ( ( PUNCT fcis-30504 27 11 32 32 NUM fcis-30504 27 12 ) ) PUNCT fcis-30504 27 13 ˆ ˆ NOUN fcis-30504 27 14 ˆ ˆ ADV fcis-30504 27 15 ( ( PUNCT fcis-30504 27 16 33 33 NUM fcis-30504 27 17 ) ) PUNCT fcis-30504 27 18 ˆ ˆ NOUN fcis-30504 27 19 ˆ ˆ ADV fcis-30504 27 20 ( ( PUNCT fcis-30504 27 21 34 34 NUM fcis-30504 27 22 ) ) PUNCT fcis-30504 27 23 continuous continuous ADJ fcis-30504 27 24 iteration iteration NOUN fcis-30504 27 25 until until ADP fcis-30504 27 26 convergence convergence NOUN fcis-30504 27 27 . . PUNCT fcis-30504 28 1 ( ( PUNCT fcis-30504 28 2 3 3 X fcis-30504 28 3 ) ) PUNCT fcis-30504 28 4 parameter parameter NOUN fcis-30504 28 5 quantization quantization NOUN fcis-30504 28 6 : : PUNCT fcis-30504 28 7 let let VERB fcis-30504 28 8 each each DET fcis-30504 28 9 parameter parameter NOUN fcis-30504 28 10 as as ADP fcis-30504 28 11 m m NOUN fcis-30504 28 12 - - PUNCT fcis-30504 28 13 bit bit NOUN fcis-30504 28 14 binary binary ADJ fcis-30504 28 15 number number NOUN fcis-30504 28 16 , , PUNCT fcis-30504 28 17 defined define VERB fcis-30504 28 18 , , PUNCT fcis-30504 28 19 as as ADP fcis-30504 28 20 the the DET fcis-30504 28 21 -bit -bit X fcis-30504 28 22 binary binary ADJ fcis-30504 28 23 variable variable NOUN fcis-30504 28 24 of of ADP fcis-30504 28 25 the the DET fcis-30504 28 26 -th -th ADJ fcis-30504 28 27 parameter parameter NOUN fcis-30504 28 28 : : PUNCT fcis-30504 28 29 ∑ ∑ ADV fcis-30504 28 30     SPACE fcis-30504 28 31 , , PUNCT fcis-30504 28 32 2 2 NUM fcis-30504 28 33 ( ( PUNCT fcis-30504 28 34 35 35 NUM fcis-30504 28 35 ) ) PUNCT fcis-30504 28 36 where where SCONJ fcis-30504 28 37 , , PUNCT fcis-30504 28 38 ∈ ∈ PROPN fcis-30504 28 39 0,1 0,1 NUM fcis-30504 28 40 , , PUNCT fcis-30504 28 41 representing represent VERB fcis-30504 28 42 the the DET fcis-30504 28 43 state state NOUN fcis-30504 28 44 of of ADP fcis-30504 28 45 the the DET fcis-30504 28 46 merer merer PROPN fcis-30504 28 47 binary binary NOUN fcis-30504 28 48 , , PUNCT fcis-30504 28 49 is be AUX fcis-30504 28 50 the the DET fcis-30504 28 51 quantization quantization NOUN fcis-30504 28 52 accuracy accuracy NOUN fcis-30504 28 53 . . PUNCT fcis-30504 29 1 ( ( PUNCT fcis-30504 29 2 4 4 X fcis-30504 29 3 ) ) PUNCT fcis-30504 29 4 in in ADP fcis-30504 29 5 the the DET fcis-30504 29 6 quantum quantum ADJ fcis-30504 29 7 optimization optimization NOUN fcis-30504 29 8 , , PUNCT fcis-30504 29 9 the the DET fcis-30504 29 10 optimization optimization NOUN fcis-30504 29 11 problem problem NOUN fcis-30504 29 12 is be AUX fcis-30504 29 13 converted convert VERB fcis-30504 29 14 into into ADP fcis-30504 29 15 the the DET fcis-30504 29 16 qubo qubo NOUN fcis-30504 29 17 form form NOUN fcis-30504 29 18 : : PUNCT fcis-30504 29 19 min min NOUN fcis-30504 29 20     SPACE fcis-30504 29 21 ( ( PUNCT fcis-30504 29 22 36 36 NUM fcis-30504 29 23 ) ) PUNCT fcis-30504 29 24 where where SCONJ fcis-30504 29 25 is be AUX fcis-30504 29 26 the the DET fcis-30504 29 27 vector vector NOUN fcis-30504 29 28 of of ADP fcis-30504 29 29 all all DET fcis-30504 29 30 the the DET fcis-30504 29 31 binary binary ADJ fcis-30504 29 32 decision decision NOUN fcis-30504 29 33 variables variable NOUN fcis-30504 29 34 , , PUNCT fcis-30504 29 35 and and CCONJ fcis-30504 29 36 is be AUX fcis-30504 29 37 the the DET fcis-30504 29 38 qubo qubo NOUN fcis-30504 29 39 matrix matrix NOUN fcis-30504 29 40 , , PUNCT fcis-30504 29 41 representing represent VERB fcis-30504 29 42 the the DET fcis-30504 29 43 quadratic quadratic ADJ fcis-30504 29 44 term term NOUN fcis-30504 29 45 function function NOUN fcis-30504 29 46 of of ADP fcis-30504 29 47 the the DET fcis-30504 29 48 loss loss NOUN fcis-30504 29 49 function function NOUN fcis-30504 29 50 . . PUNCT fcis-30504 30 1 ( ( PUNCT fcis-30504 30 2 5 5 X fcis-30504 30 3 ) ) PUNCT fcis-30504 30 4 convert convert VERB fcis-30504 30 5 the the DET fcis-30504 30 6 loss loss NOUN fcis-30504 30 7 function function NOUN fcis-30504 30 8 into into ADP fcis-30504 30 9 the the DET fcis-30504 30 10 qubo qubo NOUN fcis-30504 30 11 form form NOUN fcis-30504 30 12 . . PUNCT fcis-30504 31 1 the the DET fcis-30504 31 2 element element NOUN fcis-30504 31 3 of of ADP fcis-30504 31 4 the the DET fcis-30504 31 5 qubo qubo NOUN fcis-30504 31 6 matrix matrix NOUN fcis-30504 31 7 corresponds correspond VERB fcis-30504 31 8 to to ADP fcis-30504 31 9 the the DET fcis-30504 31 10 quadratic quadratic ADJ fcis-30504 31 11 partial partial ADJ fcis-30504 31 12 derivative derivative NOUN fcis-30504 31 13 of of ADP fcis-30504 31 14 each each DET fcis-30504 31 15 parameter parameter NOUN fcis-30504 31 16 in in ADP fcis-30504 31 17 the the DET fcis-30504 31 18 loss loss NOUN fcis-30504 31 19 function function NOUN fcis-30504 31 20 : : PUNCT fcis-30504 31 21 ( ( PUNCT fcis-30504 31 22 37 37 NUM fcis-30504 31 23 ) ) PUNCT fcis-30504 31 24 ( ( PUNCT fcis-30504 31 25 6 6 X fcis-30504 31 26 ) ) PUNCT fcis-30504 31 27 relu relu NOUN fcis-30504 31 28 activation activation NOUN fcis-30504 31 29 function function NOUN fcis-30504 31 30 : : PUNCT fcis-30504 31 31 for for ADP fcis-30504 31 32 the the DET fcis-30504 31 33 input input NOUN fcis-30504 31 34 , , PUNCT fcis-30504 31 35 relu relu NOUN fcis-30504 31 36 max max PROPN fcis-30504 31 37 0 0 NUM fcis-30504 31 38 , , PUNCT fcis-30504 31 39 ( ( PUNCT fcis-30504 31 40 38 38 NUM fcis-30504 31 41 ) ) PUNCT fcis-30504 31 42 ( ( PUNCT fcis-30504 31 43 7 7 X fcis-30504 31 44 ) ) PUNCT fcis-30504 31 45 suppose suppose VERB fcis-30504 31 46 there there PRON fcis-30504 31 47 is be VERB fcis-30504 31 48 an an DET fcis-30504 31 49 layer layer NOUN fcis-30504 31 50 network network NOUN fcis-30504 31 51 , , PUNCT fcis-30504 31 52 for for ADP fcis-30504 31 53 each each DET fcis-30504 31 54 layer layer NOUN fcis-30504 31 55 1 1 NUM fcis-30504 31 56 , , PUNCT fcis-30504 31 57 the the DET fcis-30504 31 58 goal goal NOUN fcis-30504 31 59 of of ADP fcis-30504 31 60 minimizing minimizing NOUN fcis-30504 31 61 is be AUX fcis-30504 31 62 to to PART fcis-30504 31 63 use use VERB fcis-30504 31 64 the the DET fcis-30504 31 65 overloss overloss NOUN fcis-30504 31 66 function function NOUN fcis-30504 31 67 to to PART fcis-30504 31 68 find find VERB fcis-30504 31 69 the the DET fcis-30504 31 70 best good ADJ fcis-30504 31 71 parameter parameter NOUN fcis-30504 31 72 . . PUNCT fcis-30504 32 1 the the DET fcis-30504 32 2 qubo qubo NOUN fcis-30504 32 3 of of ADP fcis-30504 32 4 this this DET fcis-30504 32 5 layer layer NOUN fcis-30504 32 6 is be AUX fcis-30504 32 7 expressed express VERB fcis-30504 32 8 as as ADP fcis-30504 32 9 : : PUNCT fcis-30504 32 10 63 63 NUM fcis-30504 32 11 min min NOUN fcis-30504 32 12     SPACE fcis-30504 32 13 ( ( PUNCT fcis-30504 32 14 39 39 NUM fcis-30504 32 15 ) ) PUNCT fcis-30504 32 16 where where SCONJ fcis-30504 32 17 , , PUNCT fcis-30504 32 18 is be AUX fcis-30504 32 19 the the DET fcis-30504 32 20 binary binary ADJ fcis-30504 32 21 decision decision NOUN fcis-30504 32 22 variable variable NOUN fcis-30504 32 23 of of ADP fcis-30504 32 24 the the DET fcis-30504 32 25 1 1 NUM fcis-30504 32 26 layer layer NOUN fcis-30504 32 27 , , PUNCT fcis-30504 32 28 is be AUX fcis-30504 32 29 the the DET fcis-30504 32 30 corresponding corresponding ADJ fcis-30504 32 31 qubo qubo NOUN fcis-30504 32 32 matrix matrix NOUN fcis-30504 32 33 . . PUNCT fcis-30504 33 1 the the DET fcis-30504 33 2 objective objective ADJ fcis-30504 33 3 function function NOUN fcis-30504 33 4 of of ADP fcis-30504 33 5 the the DET fcis-30504 33 6 whole whole ADJ fcis-30504 33 7 network network NOUN fcis-30504 33 8 is be AUX fcis-30504 33 9 the the DET fcis-30504 33 10 sum sum NOUN fcis-30504 33 11 of of ADP fcis-30504 33 12 the the DET fcis-30504 33 13 objective objective ADJ fcis-30504 33 14 functions function NOUN fcis-30504 33 15 of of ADP fcis-30504 33 16 all all DET fcis-30504 33 17 the the DET fcis-30504 33 18 layers layer NOUN fcis-30504 33 19 : : PUNCT fcis-30504 33 20 min min NOUN fcis-30504 33 21     SPACE fcis-30504 33 22 ∑ ∑ DET fcis-30504 33 23     SPACE fcis-30504 33 24 ( ( PUNCT fcis-30504 33 25 40 40 NUM fcis-30504 33 26 ) ) PUNCT fcis-30504 33 27 ( ( PUNCT fcis-30504 33 28 8) 8) NUM fcis-30504 33 29 qubo qubo NOUN fcis-30504 33 30 solution solution NOUN fcis-30504 33 31 : : PUNCT fcis-30504 33 32 data datum NOUN fcis-30504 33 33 coding coding NOUN fcis-30504 33 34 : : PUNCT fcis-30504 33 35 encode encode VERB fcis-30504 33 36 the the DET fcis-30504 33 37 input input NOUN fcis-30504 33 38 data datum NOUN fcis-30504 33 39 and and CCONJ fcis-30504 33 40 labels label NOUN fcis-30504 33 41 in in ADP fcis-30504 33 42 a a DET fcis-30504 33 43 binary binary ADJ fcis-30504 33 44 format format NOUN fcis-30504 33 45 suitable suitable ADJ fcis-30504 33 46 for for ADP fcis-30504 33 47 quantum quantum NOUN fcis-30504 33 48 computing computing NOUN fcis-30504 33 49 . . PUNCT fcis-30504 34 1 build build VERB fcis-30504 34 2 the the DET fcis-30504 34 3 qubo qubo NOUN fcis-30504 34 4 matrix matrix NOUN fcis-30504 34 5 : : PUNCT fcis-30504 34 6 calculate calculate VERB fcis-30504 34 7 the the DET fcis-30504 34 8 qubo qubo NOUN fcis-30504 34 9 matrix matrix NOUN fcis-30504 34 10 of of ADP fcis-30504 34 11 each each DET fcis-30504 34 12 cnn cnn PROPN fcis-30504 34 13 , , PUNCT fcis-30504 34 14 which which PRON fcis-30504 34 15 contains contain VERB fcis-30504 34 16 the the DET fcis-30504 34 17 interaction interaction NOUN fcis-30504 34 18 information information NOUN fcis-30504 34 19 between between ADP fcis-30504 34 20 various various ADJ fcis-30504 34 21 parameters parameter NOUN fcis-30504 34 22 . . PUNCT fcis-30504 35 1 quantum quantum NOUN fcis-30504 35 2 computing computing NOUN fcis-30504 35 3 solution solution NOUN fcis-30504 35 4 : : PUNCT fcis-30504 35 5 solve solve VERB fcis-30504 35 6 the the DET fcis-30504 35 7 qubo qubo NOUN fcis-30504 35 8 problem problem NOUN fcis-30504 35 9 by by ADP fcis-30504 35 10 simulated simulate VERB fcis-30504 35 11 annealing annealing NOUN fcis-30504 35 12 and and CCONJ fcis-30504 35 13 obtain obtain VERB fcis-30504 35 14 the the DET fcis-30504 35 15 optimal optimal ADJ fcis-30504 35 16 parameter parameter NOUN fcis-30504 35 17 configuration configuration NOUN fcis-30504 35 18 . . PUNCT fcis-30504 36 1 decoding decode VERB fcis-30504 36 2 and and CCONJ fcis-30504 36 3 model model NOUN fcis-30504 36 4 training training NOUN fcis-30504 36 5 : : PUNCT fcis-30504 36 6 the the DET fcis-30504 36 7 resulting result VERB fcis-30504 36 8 binary binary ADJ fcis-30504 36 9 system system NOUN fcis-30504 36 10 is be AUX fcis-30504 36 11 decoded decode VERB fcis-30504 36 12 as as SCONJ fcis-30504 36 13 the the DET fcis-30504 36 14 network network NOUN fcis-30504 36 15 parameters parameter NOUN fcis-30504 36 16 to to PART fcis-30504 36 17 update update VERB fcis-30504 36 18 the the DET fcis-30504 36 19 weight weight NOUN fcis-30504 36 20 and and CCONJ fcis-30504 36 21 configuration configuration NOUN fcis-30504 36 22 of of ADP fcis-30504 36 23 the the DET fcis-30504 36 24 network network NOUN fcis-30504 36 25 . . PUNCT fcis-30504 37 1 5 5 X fcis-30504 37 2 . . X fcis-30504 37 3 conclusion conclusion NOUN fcis-30504 37 4 in in ADP fcis-30504 37 5 this this DET fcis-30504 37 6 paper paper NOUN fcis-30504 37 7 , , PUNCT fcis-30504 37 8 we we PRON fcis-30504 37 9 propose propose VERB fcis-30504 37 10 a a DET fcis-30504 37 11 quantum quantum NOUN fcis-30504 37 12 - - PUNCT fcis-30504 37 13 inspired inspire VERB fcis-30504 37 14 hybrid hybrid ADJ fcis-30504 37 15 optimization optimization NOUN fcis-30504 37 16 framework framework NOUN fcis-30504 37 17 for for ADP fcis-30504 37 18 key key ADJ fcis-30504 37 19 scientific scientific ADJ fcis-30504 37 20 situations situation NOUN fcis-30504 37 21 in in ADP fcis-30504 37 22 resource resource NOUN fcis-30504 37 23 management management NOUN fcis-30504 37 24 and and CCONJ fcis-30504 37 25 pattern pattern NOUN fcis-30504 37 26 recognition recognition NOUN fcis-30504 37 27 , , PUNCT fcis-30504 37 28 which which PRON fcis-30504 37 29 enhances enhance VERB fcis-30504 37 30 the the DET fcis-30504 37 31 global global ADJ fcis-30504 37 32 search search NOUN fcis-30504 37 33 capability capability NOUN fcis-30504 37 34 by by ADP fcis-30504 37 35 transforming transform VERB fcis-30504 37 36 the the DET fcis-30504 37 37 traditional traditional ADJ fcis-30504 37 38 model model NOUN fcis-30504 37 39 parameter parameter NOUN fcis-30504 37 40 learning learning NOUN fcis-30504 37 41 process process NOUN fcis-30504 37 42 into into ADP fcis-30504 37 43 quantum quantum PROPN fcis-30504 37 44 unconstrained unconstraine VERB fcis-30504 37 45 binary binary NOUN fcis-30504 37 46 optimization optimization NOUN fcis-30504 37 47 ( ( PUNCT fcis-30504 37 48 qubo qubo PROPN fcis-30504 37 49 ) ) PUNCT fcis-30504 37 50 and and CCONJ fcis-30504 37 51 exploiting exploit VERB fcis-30504 37 52 the the DET fcis-30504 37 53 parallel parallel ADJ fcis-30504 37 54 state state NOUN fcis-30504 37 55 superposition superposition NOUN fcis-30504 37 56 property property NOUN fcis-30504 37 57 of of ADP fcis-30504 37 58 quantum quantum NOUN fcis-30504 37 59 computing computing NOUN fcis-30504 37 60 . . PUNCT fcis-30504 38 1 the the DET fcis-30504 38 2 research research NOUN fcis-30504 38 3 focuses focus VERB fcis-30504 38 4 on on ADP fcis-30504 38 5 revealing reveal VERB fcis-30504 38 6 the the DET fcis-30504 38 7 transformation transformation NOUN fcis-30504 38 8 mechanism mechanism NOUN fcis-30504 38 9 of of ADP fcis-30504 38 10 different different ADJ fcis-30504 38 11 models model NOUN fcis-30504 38 12 ( ( PUNCT fcis-30504 38 13 ar ar PROPN fcis-30504 38 14 , , PUNCT fcis-30504 38 15 svm svm PROPN fcis-30504 38 16 , , PUNCT fcis-30504 38 17 cnn cnn PROPN fcis-30504 38 18 ) ) PUNCT fcis-30504 38 19 to to ADP fcis-30504 38 20 the the DET fcis-30504 38 21 qubo qubo NOUN fcis-30504 38 22 form form NOUN fcis-30504 38 23 , , PUNCT fcis-30504 38 24 constructing construct VERB fcis-30504 38 25 a a DET fcis-30504 38 26 multimodal multimodal ADJ fcis-30504 38 27 optimization optimization NOUN fcis-30504 38 28 model model NOUN fcis-30504 38 29 , , PUNCT fcis-30504 38 30 and and CCONJ fcis-30504 38 31 verifying verify VERB fcis-30504 38 32 its its PRON fcis-30504 38 33 improvement improvement NOUN fcis-30504 38 34 in in ADP fcis-30504 38 35 prediction prediction NOUN fcis-30504 38 36 accuracy accuracy NOUN fcis-30504 38 37 and and CCONJ fcis-30504 38 38 classification classification NOUN fcis-30504 38 39 efficiency efficiency NOUN fcis-30504 38 40 through through ADP fcis-30504 38 41 numerical numerical ADJ fcis-30504 38 42 experiments experiment NOUN fcis-30504 38 43 . . PUNCT fcis-30504 39 1 this this DET fcis-30504 39 2 research research NOUN fcis-30504 39 3 not not PART fcis-30504 39 4 only only ADV fcis-30504 39 5 expands expand VERB fcis-30504 39 6 the the DET fcis-30504 39 7 application application NOUN fcis-30504 39 8 boundary boundary NOUN fcis-30504 39 9 of of ADP fcis-30504 39 10 quantum quantum NOUN fcis-30504 39 11 computing computing NOUN fcis-30504 39 12 in in ADP fcis-30504 39 13 classical classical ADJ fcis-30504 39 14 optimization optimization NOUN fcis-30504 39 15 , , PUNCT fcis-30504 39 16 but but CCONJ fcis-30504 39 17 also also ADV fcis-30504 39 18 provides provide VERB fcis-30504 39 19 an an DET fcis-30504 39 20 interdisciplinary interdisciplinary ADJ fcis-30504 39 21 solution solution NOUN fcis-30504 39 22 for for ADP fcis-30504 39 23 intelligent intelligent ADJ fcis-30504 39 24 decision decision NOUN fcis-30504 39 25 - - PUNCT fcis-30504 39 26 making making NOUN fcis-30504 39 27 of of ADP fcis-30504 39 28 complex complex ADJ fcis-30504 39 29 systems system NOUN fcis-30504 39 30 . . PUNCT fcis-30504 40 1 references reference NOUN fcis-30504 40 2 [ [ X fcis-30504 40 3 1 1 NUM fcis-30504 40 4 ] ] X fcis-30504 40 5 qian qian PROPN fcis-30504 40 6 yu yu PROPN fcis-30504 40 7 , , PUNCT fcis-30504 40 8 wang wang PROPN fcis-30504 40 9 lixin lixin PROPN fcis-30504 40 10 , , PUNCT fcis-30504 40 11 zhang zhang PROPN fcis-30504 40 12 heng heng PROPN fcis-30504 40 13 , , PUNCT fcis-30504 40 14 et et PROPN fcis-30504 40 15 al al PROPN fcis-30504 40 16 . . PROPN fcis-30504 40 17 research research NOUN fcis-30504 40 18 on on ADP fcis-30504 40 19 cruise cruise NOUN fcis-30504 40 20 flight flight NOUN fcis-30504 40 21 parameter parameter NOUN fcis-30504 40 22 prediction prediction NOUN fcis-30504 40 23 based base VERB fcis-30504 40 24 on on ADP fcis-30504 40 25 adaptive adaptive PROPN fcis-30504 40 26 ar ar PROPN fcis-30504 40 27 model[j model[j PROPN fcis-30504 40 28 ] ] PUNCT fcis-30504 40 29 . . PUNCT fcis-30504 41 1 computer computer NOUN fcis-30504 41 2 application application NOUN fcis-30504 41 3 and and CCONJ fcis-30504 41 4 software,2024 software,2024 NOUN fcis-30504 41 5 , , PUNCT fcis-30504 41 6 41(04 41(04 NOUN fcis-30504 41 7 ): ): PUNCT fcis-30504 41 8 73 73 NUM fcis-30504 41 9 - - SYM fcis-30504 41 10 79 79 NUM fcis-30504 41 11 . . PUNCT fcis-30504 42 1 [ [ X fcis-30504 42 2 2 2 NUM fcis-30504 42 3 ] ] X fcis-30504 42 4 li li PROPN fcis-30504 42 5 zhong zhong PROPN fcis-30504 42 6 , , PUNCT fcis-30504 42 7 jiang jiang PROPN fcis-30504 42 8 yibo yibo PROPN fcis-30504 42 9 , , PUNCT fcis-30504 42 10 cao cao PROPN fcis-30504 42 11 kexin kexin PROPN fcis-30504 42 12 , , PUNCT fcis-30504 42 13 et et PROPN fcis-30504 42 14 al al PROPN fcis-30504 42 15 . . PROPN fcis-30504 42 16 research research NOUN fcis-30504 42 17 on on ADP fcis-30504 42 18 svmbased svmbase VERB fcis-30504 42 19 quantum quantum ADJ fcis-30504 42 20 line line NOUN fcis-30504 42 21 output output NOUN fcis-30504 42 22 calibration calibration NOUN fcis-30504 42 23 method[j method[j PROPN fcis-30504 42 24 ] ] PUNCT fcis-30504 42 25 . . PUNCT fcis-30504 43 1 journal journal PROPN fcis-30504 43 2 of of ADP fcis-30504 43 3 quantum quantum PROPN fcis-30504 43 4 electronics,2024,41(02):357 electronics,2024,41(02):357 NOUN fcis-30504 43 5 - - PUNCT fcis-30504 43 6 366 366 NUM fcis-30504 43 7 . . PUNCT fcis-30504 44 1 [ [ X fcis-30504 44 2 3 3 X fcis-30504 44 3 ] ] X fcis-30504 44 4 li li PROPN fcis-30504 44 5 jiansong jiansong PROPN fcis-30504 44 6 , , PUNCT fcis-30504 44 7 li li PROPN fcis-30504 44 8 hai hai PROPN fcis-30504 44 9 , , PUNCT fcis-30504 44 10 yu yu PROPN fcis-30504 44 11 wenli wenli PROPN fcis-30504 44 12 , , PUNCT fcis-30504 44 13 et et PROPN fcis-30504 44 14 al al PROPN fcis-30504 44 15 . . PUNCT fcis-30504 44 16 optimization optimization NOUN fcis-30504 44 17 of of ADP fcis-30504 44 18 quantum quantum PROPN fcis-30504 44 19 otto otto PROPN fcis-30504 44 20 loop loop NOUN fcis-30504 44 21 performance performance NOUN fcis-30504 44 22 based base VERB fcis-30504 44 23 on on ADP fcis-30504 44 24 deep deep ADJ fcis-30504 44 25 reinforcement reinforcement NOUN fcis-30504 44 26 learning[j learning[j NOUN fcis-30504 44 27 ] ] PUNCT fcis-30504 44 28 . . PUNCT fcis-30504 45 1 journal journal PROPN fcis-30504 45 2 of of ADP fcis-30504 45 3 quantum quantum ADJ fcis-30504 45 4 electronics,2025,42(01):70 electronics,2025,42(01):70 NOUN fcis-30504 45 5 - - PUNCT fcis-30504 45 6 79 79 NUM fcis-30504 45 7 . . PUNCT fcis-30504 46 1 [ [ X fcis-30504 46 2 4 4 NUM fcis-30504 46 3 ] ] X fcis-30504 46 4 guo guo PROPN fcis-30504 46 5 guoping guoping NOUN fcis-30504 46 6 . . PUNCT fcis-30504 47 1 industrial industrial ADJ fcis-30504 47 2 change change NOUN fcis-30504 47 3 and and CCONJ fcis-30504 47 4 ecological ecological ADJ fcis-30504 47 5 construction construction NOUN fcis-30504 47 6 of of ADP fcis-30504 47 7 quantum quantum NOUN fcis-30504 47 8 computing compute VERB fcis-30504 47 9 technology[j technology[j NOUN fcis-30504 47 10 ] ] PUNCT fcis-30504 47 11 . . PUNCT fcis-30504 48 1 people people NOUN fcis-30504 48 2 's 's PART fcis-30504 48 3 forum forum NOUN fcis-30504 48 4 , , PUNCT fcis-30504 48 5 2023 2023 NUM fcis-30504 48 6 , , PUNCT fcis-30504 48 7 ( ( PUNCT fcis-30504 48 8 16 16 NUM fcis-30504 48 9 ): ): PUNCT fcis-30504 48 10 13 13 NUM fcis-30504 48 11 - - SYM fcis-30504 48 12 17 17 NUM fcis-30504 48 13 . . PUNCT fcis-30504 49 1 [ [ X fcis-30504 49 2 5 5 X fcis-30504 49 3 ] ] PUNCT fcis-30504 49 4 he he PRON fcis-30504 49 5 jianhao jianhao PROPN fcis-30504 49 6 , , PUNCT fcis-30504 49 7 li li PROPN fcis-30504 49 8 luzhou luzhou PROPN fcis-30504 49 9 . . PUNCT fcis-30504 50 1 a a DET fcis-30504 50 2 review review NOUN fcis-30504 50 3 of of ADP fcis-30504 50 4 quantum quantum ADJ fcis-30504 50 5 optimization optimization NOUN fcis-30504 50 6 algorithms[j algorithms[j PROPN fcis-30504 50 7 ] ] X fcis-30504 50 8 . . PUNCT fcis-30504 51 1 computer computer NOUN fcis-30504 51 2 research research NOUN fcis-30504 51 3 and and CCONJ fcis-30504 51 4 development development NOUN fcis-30504 51 5 , , PUNCT fcis-30504 51 6 2021,58 2021,58 PROPN fcis-30504 51 7 ( ( PUNCT fcis-30504 51 8 09 09 NUM fcis-30504 51 9 ): ): PUNCT fcis-30504 51 10 1823 1823 NUM fcis-30504 51 11 - - SYM fcis-30504 51 12 1834 1834 NUM fcis-30504 51 13 . . PUNCT fcis-30504 52 1 [ [ X fcis-30504 52 2 6 6 NUM fcis-30504 52 3 ] ] PUNCT fcis-30504 52 4 wu wu PROPN fcis-30504 52 5 yongfei yongfei PROPN fcis-30504 52 6 , , PUNCT fcis-30504 52 7 wang wang PROPN fcis-30504 52 8 yanbo yanbo PROPN fcis-30504 52 9 , , PUNCT fcis-30504 52 10 xu xu PROPN fcis-30504 52 11 qi qi PROPN fcis-30504 52 12 , , PUNCT fcis-30504 52 13 et et PROPN fcis-30504 52 14 al al PROPN fcis-30504 52 15 . . PROPN fcis-30504 52 16 research research NOUN fcis-30504 52 17 on on ADP fcis-30504 52 18 the the DET fcis-30504 52 19 application application NOUN fcis-30504 52 20 of of ADP fcis-30504 52 21 quantum quantum PROPN fcis-30504 52 22 qubo qubo PROPN fcis-30504 52 23 - - PUNCT fcis-30504 52 24 svm svm ADJ fcis-30504 52 25 technology technology NOUN fcis-30504 52 26 in in ADP fcis-30504 52 27 finance[j finance[j NOUN fcis-30504 52 28 ] ] PUNCT fcis-30504 52 29 . . PUNCT fcis-30504 53 1 banker banker NOUN fcis-30504 53 2 , , PUNCT fcis-30504 53 3 2025 2025 NUM fcis-30504 53 4 , , PUNCT fcis-30504 53 5 ( ( PUNCT fcis-30504 53 6 01):125 01):125 NUM fcis-30504 53 7 - - PUNCT fcis-30504 53 8 128 128 NUM fcis-30504 53 9 . . PUNCT