Literature DB >> 15904269

Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations.

Matthias Troyer1, Uwe-Jens Wiese.   

Abstract

Quantum Monte Carlo simulations, while being efficient for bosons, suffer from the "negative sign problem" when applied to fermions--causing an exponential increase of the computing time with the number of particles. A polynomial time solution to the sign problem is highly desired since it would provide an unbiased and numerically exact method to simulate correlated quantum systems. Here we show that such a solution is almost certainly unattainable by proving that the sign problem is nondeterministic polynomial (NP) hard, implying that a generic solution of the sign problem would also solve all problems in the complexity class NP in polynomial time.

Year:  2005        PMID: 15904269     DOI: 10.1103/PhysRevLett.94.170201

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  23 in total

1.  A quantum-quantum Metropolis algorithm.

Authors:  Man-Hong Yung; Alán Aspuru-Guzik
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-03       Impact factor: 11.205

2.  Sign Learning Kink-based (SiLK) Quantum Monte Carlo for molecular systems.

Authors:  Xiaoyao Ma; Randall W Hall; Frank Löffler; Karol Kowalski; Kiran Bhaskaran-Nair; Mark Jarrell; Juana Moreno
Journal:  J Chem Phys       Date:  2016-01-07       Impact factor: 3.488

3.  Non-Fermi-liquid d-wave metal phase of strongly interacting electrons.

Authors:  Hong-Chen Jiang; Matthew S Block; Ryan V Mishmash; James R Garrison; D N Sheng; Olexei I Motrunich; Matthew P A Fisher
Journal:  Nature       Date:  2012-12-19       Impact factor: 49.962

4.  Towards an exact description of electronic wavefunctions in real solids.

Authors:  George H Booth; Andreas Grüneis; Georg Kresse; Ali Alavi
Journal:  Nature       Date:  2012-12-19       Impact factor: 49.962

5.  Digitized adiabatic quantum computing with a superconducting circuit.

Authors:  R Barends; A Shabani; L Lamata; J Kelly; A Mezzacapo; U Las Heras; R Babbush; A G Fowler; B Campbell; Yu Chen; Z Chen; B Chiaro; A Dunsworth; E Jeffrey; E Lucero; A Megrant; J Y Mutus; M Neeley; C Neill; P J J O'Malley; C Quintana; P Roushan; D Sank; A Vainsencher; J Wenner; T C White; E Solano; H Neven; John M Martinis
Journal:  Nature       Date:  2016-06-09       Impact factor: 49.962

6.  On the computational complexity of curing non-stoquastic Hamiltonians.

Authors:  Milad Marvian; Daniel A Lidar; Itay Hen
Journal:  Nat Commun       Date:  2019-04-05       Impact factor: 14.919

Review 7.  Practical quantum advantage in quantum simulation.

Authors:  Andrew J Daley; Immanuel Bloch; Christian Kokail; Stuart Flannigan; Natalie Pearson; Matthias Troyer; Peter Zoller
Journal:  Nature       Date:  2022-07-27       Impact factor: 69.504

8.  Deep-neural-network solution of the electronic Schrödinger equation.

Authors:  Jan Hermann; Zeno Schätzle; Frank Noé
Journal:  Nat Chem       Date:  2020-09-23       Impact factor: 24.427

9.  Digital quantum simulation of fermionic models with a superconducting circuit.

Authors:  R Barends; L Lamata; J Kelly; L García-Álvarez; A G Fowler; A Megrant; E Jeffrey; T C White; D Sank; J Y Mutus; B Campbell; Yu Chen; Z Chen; B Chiaro; A Dunsworth; I-C Hoi; C Neill; P J J O'Malley; C Quintana; P Roushan; A Vainsencher; J Wenner; E Solano; John M Martinis
Journal:  Nat Commun       Date:  2015-07-08       Impact factor: 14.919

10.  Lattice quantum electrodynamics in (3+1)-dimensions at finite density with tensor networks.

Authors:  Giuseppe Magnifico; Timo Felser; Pietro Silvi; Simone Montangero
Journal:  Nat Commun       Date:  2021-06-14       Impact factor: 14.919

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