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Time-dependent variational Monte Carlo

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G. Carleo; F. Becca; L. Sanchez-Palencia; S. Sorella & M. Fabrizio (2014). "Light-cone effect and supersonic correlations in one- and two-dimensional bosonic superfluids".
469: 282: 242: 186: 847: 580: 818: 794: 206: 437:{\displaystyle i\sum _{k^{\prime }}\langle O_{k}O_{k^{\prime }}\rangle _{t}^{c}{\dot {a}}_{k^{\prime }}=\langle O_{k}{\mathcal {H}}\rangle _{t}^{c},} 50: 670: 820:, the quantities entering the equation of motion are evaluated as statistical averages over the sampled configurations. The trajectories 797: 472: 1008: 292:. In particular one can show that the optimal parameters for the evolution satisfy at each time the equation of motion 1003: 773: 660: 566:{\displaystyle \langle AB\rangle _{t}^{c}=\langle AB\rangle _{t}-\langle A\rangle _{t}\langle B\rangle _{t}} 33: 573:
are connected averages, and the quantum expectation values are taken over the time-dependent variational
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of the variational parameters are then found upon numerical integration of the associated
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is then used to sample exactly from this probability distribution and, at each time
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function over the multi-dimensional space spanned by the many-body configurations
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Spectral and dynamical properties of strongly correlated systems
865:"Localization and glassy dynamics of many-body quantum systems" 456: 411: 386: 345: 315: 24:
approach to study the dynamics of closed, non-relativistic
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G. Carleo; F. Becca; M. SchirĂł & M. Fabrizio (2012).
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are time-independent operators that define the specific
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The time evolution of the parameters 208:denotes a many-body configuration and 7: 722: 682: 631: 606: 54: 36:method, in which a time-dependent 14: 981:(PhD Thesis). pp. 107–128. 40:is encoded by some variational 836: 830: 742: 737: 725: 718: 702: 697: 685: 678: 640: 634: 627: 619: 615: 609: 464:{\displaystyle {\mathcal {H}}} 271: 265: 231: 225: 175: 169: 131: 125: 112: 106: 69: 57: 44:, generally parametrized as 28:in the context of the quantum 1: 798:Metropolis–Hastings algorithm 284:can be found upon imposing a 32:. It is an extension of the 663:approach and following the 1025: 958:10.1103/PhysRevA.89.031602 152:where the complex-valued 774:probability distribution 277:{\displaystyle a_{k}(t)} 237:{\displaystyle O_{k}(X)} 181:{\displaystyle a_{k}(t)} 661:Variational Monte Carlo 34:variational Monte Carlo 843: 814: 790: 766: 650: 567: 465: 438: 278: 238: 202: 182: 143: 851:differential equation 844: 815: 791: 767: 651: 568: 466: 439: 286:variational principle 279: 239: 203: 183: 144: 842:{\displaystyle a(t)} 824: 804: 780: 671: 659:In analogy with the 581: 479: 451: 299: 252: 212: 192: 156: 51: 1009:Quantum Monte Carlo 950:2014PhRvA..89c1602C 891:2012NatSR...2E.243C 505: 430: 366: 22:quantum Monte Carlo 975:G. Carleo (2011). 839: 810: 786: 762: 665:Monte Carlo method 646: 563: 491: 461: 434: 416: 352: 321: 274: 234: 198: 178: 139: 95: 38:pure quantum state 1004:Quantum mechanics 987:20.500.11767/4289 899:10.1038/srep00243 813:{\displaystyle t} 789:{\displaystyle X} 760: 377: 305: 201:{\displaystyle X} 86: 30:many-body problem 1016: 990: 969: 943: 934:(3): 031602(R). 920: 910: 884: 848: 846: 845: 840: 819: 817: 816: 811: 795: 793: 792: 787: 771: 769: 768: 763: 761: 759: 751: 750: 745: 721: 712: 711: 710: 705: 681: 675: 655: 653: 652: 647: 630: 622: 599: 598: 572: 570: 569: 564: 562: 561: 546: 545: 527: 526: 504: 499: 470: 468: 467: 462: 460: 459: 443: 441: 440: 435: 429: 424: 415: 414: 408: 407: 392: 391: 390: 389: 379: 378: 370: 365: 360: 351: 350: 349: 348: 334: 333: 320: 319: 318: 283: 281: 280: 275: 264: 263: 243: 241: 240: 235: 224: 223: 207: 205: 204: 199: 187: 185: 184: 179: 168: 167: 148: 146: 145: 140: 138: 134: 124: 123: 105: 104: 94: 1024: 1023: 1019: 1018: 1017: 1015: 1014: 1013: 994: 993: 974: 925: 862: 859: 822: 821: 802: 801: 778: 777: 740: 713: 700: 676: 669: 668: 590: 579: 578: 553: 537: 518: 477: 476: 475:of the system, 449: 448: 399: 381: 367: 340: 335: 325: 310: 297: 296: 255: 250: 249: 215: 210: 209: 190: 189: 159: 154: 153: 115: 96: 85: 81: 49: 48: 26:quantum systems 12: 11: 5: 1022: 1020: 1012: 1011: 1006: 996: 995: 992: 991: 971: 970: 922: 921: 858: 855: 838: 835: 832: 829: 809: 785: 758: 755: 749: 744: 739: 736: 733: 730: 727: 724: 720: 716: 709: 704: 699: 696: 693: 690: 687: 684: 680: 645: 642: 639: 636: 633: 629: 625: 621: 617: 614: 611: 608: 605: 602: 597: 593: 589: 586: 560: 556: 552: 549: 544: 540: 536: 533: 530: 525: 521: 517: 514: 511: 508: 503: 498: 494: 490: 487: 484: 458: 445: 444: 433: 428: 423: 419: 413: 406: 402: 398: 395: 388: 384: 376: 373: 364: 359: 355: 347: 343: 338: 332: 328: 324: 317: 313: 308: 304: 273: 270: 267: 262: 258: 233: 230: 227: 222: 218: 197: 177: 174: 171: 166: 162: 150: 149: 137: 133: 130: 127: 122: 118: 114: 111: 108: 103: 99: 93: 89: 84: 80: 77: 74: 71: 68: 65: 62: 59: 56: 13: 10: 9: 6: 4: 3: 2: 1021: 1010: 1007: 1005: 1002: 1001: 999: 988: 984: 980: 979: 973: 972: 967: 963: 959: 955: 951: 947: 942: 937: 933: 929: 924: 923: 918: 914: 909: 904: 900: 896: 892: 888: 883: 878: 874: 870: 866: 861: 860: 856: 854: 852: 833: 827: 807: 799: 783: 775: 756: 753: 747: 734: 731: 728: 714: 707: 694: 691: 688: 666: 662: 657: 637: 623: 612: 600: 595: 587: 576: 575:wave function 558: 550: 542: 534: 528: 523: 515: 512: 506: 501: 496: 488: 485: 474: 431: 426: 421: 404: 400: 393: 382: 374: 371: 362: 357: 341: 336: 330: 326: 311: 306: 302: 295: 294: 293: 291: 290:wave function 287: 268: 260: 256: 247: 228: 220: 216: 195: 172: 164: 160: 135: 128: 120: 116: 109: 101: 97: 91: 87: 82: 78: 75: 72: 66: 63: 60: 47: 46: 45: 43: 42:wave function 39: 35: 31: 27: 23: 19: 977: 931: 928:Phys. Rev. A 927: 872: 868: 658: 446: 151: 20:method is a 17: 15: 473:Hamiltonian 998:Categories 857:References 941:1310.2246 882:1109.2516 723:Ψ 715:∫ 683:Ψ 644:⟩ 632:Ψ 624:⋯ 607:Ψ 604:⟨ 601:≡ 592:⟩ 588:⋯ 585:⟨ 555:⟩ 548:⟨ 539:⟩ 532:⟨ 529:− 520:⟩ 510:⟨ 493:⟩ 483:⟨ 418:⟩ 397:⟨ 387:′ 375:˙ 354:⟩ 346:′ 323:⟨ 316:′ 307:∑ 88:∑ 79:⁡ 55:Ψ 966:45660254 917:22355756 869:Sci. Rep 577:, i.e., 946:Bibcode 908:3272662 887:Bibcode 875:: 243. 471:is the 288:to the 964:  915:  905:  796:. The 447:where 246:ansatz 962:S2CID 936:arXiv 877:arXiv 772:as a 913:PMID 16:The 983:hdl 954:doi 903:PMC 895:doi 76:exp 1000:: 960:. 952:. 944:. 932:89 930:. 911:. 901:. 893:. 885:. 871:. 867:. 853:. 656:. 989:. 985:: 968:. 956:: 948:: 938:: 919:. 897:: 889:: 879:: 873:2 837:) 834:t 831:( 828:a 808:t 784:X 757:X 754:d 748:2 743:| 738:) 735:t 732:, 729:X 726:( 719:| 708:2 703:| 698:) 695:t 692:, 689:X 686:( 679:| 641:) 638:t 635:( 628:| 620:| 616:) 613:t 610:( 596:t 559:t 551:B 543:t 535:A 524:t 516:B 513:A 507:= 502:c 497:t 489:B 486:A 457:H 432:, 427:c 422:t 412:H 405:k 401:O 394:= 383:k 372:a 363:c 358:t 342:k 337:O 331:k 327:O 312:k 303:i 272:) 269:t 266:( 261:k 257:a 232:) 229:X 226:( 221:k 217:O 196:X 176:) 173:t 170:( 165:k 161:a 136:) 132:) 129:X 126:( 121:k 117:O 113:) 110:t 107:( 102:k 98:a 92:k 83:( 73:= 70:) 67:t 64:, 61:X 58:(

Index

quantum Monte Carlo
quantum systems
many-body problem
variational Monte Carlo
pure quantum state
wave function
ansatz
variational principle
wave function
Hamiltonian
wave function
Variational Monte Carlo
Monte Carlo method
probability distribution
Metropolis–Hastings algorithm
differential equation
"Localization and glassy dynamics of many-body quantum systems"
arXiv
1109.2516
Bibcode
2012NatSR...2E.243C
doi
10.1038/srep00243
PMC
3272662
PMID
22355756
arXiv
1310.2246
Bibcode

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