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Quantum-Assisted Variational Monte Carlo
Precision ChemistrySolving the ground state of quantum many-body systems remains a fundamental challenge in physics and chemistry. Recent advancements in quantum hardware have opened new avenues for addressing this challenge. Inspired by the quantum-enhanced Markov chain Monte Carlo (QeMCMC) algorithm [Nature, 619, 282-287 (2023)], which was originally designed for ...
Longfei Chang, Zhendong Li, Wei-Hai Fang
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Quantum dynamical Hamiltonian Monte Carlo
Physical Review ResearchOne of the open challenges in quantum computing is to find meaningful and practical methods to leverage quantum computation to accelerate classical machine-learning workflows.
Owen Lockwood +3 more
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Off-diagonal expansion quantum Monte Carlo. [PDF]
Physical Review E, 2017 We propose a Monte Carlo algorithm designed to simulate quantum as well as classical systems at equilibrium, bridging the algorithmic gap between quantum and classical thermal simulation algorithms.
T. Albash, G. Wagenbreth, I. Hen
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Quantum Monte Carlo simulation
The Annals of Applied Statistics, 2011 Contemporary scientific studies often rely on the understanding of complex quantum systems via computer simulation. This paper initiates the statistical study of quantum simulation and proposes a Monte Carlo method for estimating analytically intractable
Wang, Yazhen
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Quantum-enhanced Markov chain Monte Carlo
Nature, 2022 A quantum algorithm is introduced that performs Markov chain Monte Carlo to sample from the Boltzmann distribution of Ising models, demonstrating, through experiments and simulations, a polynomial speedup compared with classical alternatives.
David Layden +6 more
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Quantum Zeno Monte Carlo for computing observables [PDF]
npj Quantum InformationThe recent development of logical quantum processors marks a pivotal transition from the noisy intermediate-scale quantum (NISQ) era to the fault-tolerant quantum computing (FTQC) era.
Mancheon Han, Hyowon Park, Sangkook Choi
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Unbiasing fermionic quantum Monte Carlo with a quantum computer [PDF]
Nature, 2021 Interacting many-electron problems pose some of the greatest computational challenges in science, with essential applications across many fields. The solutions to these problems will offer accurate predictions of chemical reactivity and kinetics, and ...
W. Huggins +5 more
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Twenty Years of Auxiliary-Field Quantum Monte Carlo in Quantum Chemistry: An Overview and Assessment on Main Group Chemistry and Bond-Breaking. [PDF]
Journal of Chemical Theory and Computation, 2022 In this work, we present an overview of the phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) approach from a computational quantum chemistry perspective and present a numerical assessment of its performance on main group chemistry and bond ...
Joonho Lee, Hung Q. Pham, D. Reichman
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Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution [PDF]
Quantum, 2023 We analyze the accuracy and sample complexity of variational Monte Carlo approaches to simulate the dynamics of many-body quantum systems classically. By systematically studying the relevant stochastic estimators, we are able to: (i) prove that the most ...
A. Sinibaldi +3 more
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Measuring Rényi entanglement entropy with high efficiency and precision in quantum Monte Carlo simulations [PDF]
npj Quantum Materials, 2021 We develop a nonequilibrium increment method in quantum Monte Carlo simulations to obtain the Rényi entanglement entropy of various quantum many-body systems with high efficiency and precision.
Jiarui Zhao +5 more
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