Unbiasing fermionic quantum Monte Carlo with a quantum computer [PDF]
Nature, 2022 AbstractInteracting 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 other properties of quantum systems1–4.
William J. Huggins +5 more
openaire +4 more sources
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
semanticscholar +1 more source
Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth [PDF]
Quantum, 2021 This paper proposes a method of quantum Monte Carlo integration that retains the full quadratic quantum advantage, without requiring any arithmetic or quantum phase estimation to be performed on the quantum computer.
Steven Herbert
semanticscholar +1 more source
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
semanticscholar +1 more source
Quantum-assisted Monte Carlo algorithms for fermions [PDF]
Quantum, 2022 Quantum computing is a promising way to systematically solve the longstanding computational problem, the ground state of a many-body fermion system. Many efforts have been made to realise certain forms of quantum advantage in this problem, for instance ...
Xiaosi Xu, Ying Li
semanticscholar +1 more source
Accelerated Quantum Monte Carlo with Mitigated Error on Noisy Quantum Computer [PDF]
PRX Quantum, 2021 Quantum Monte Carlo and quantum simulation are both important tools for understanding quantum many-body systems. As a classical algorithm, quantum Monte Carlo suffers from the sign problem, preventing its application to most fermion systems and real time
Yongdan Yang, B. Lu, Ying Li
semanticscholar +1 more source
QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo. [PDF]
Journal of Chemical Physics, 2020 We review recent advances in the capabilities of the open source ab initio Quantum Monte Carlo (QMC) package QMCPACK and the workflow tool Nexus used for greater efficiency and reproducibility.
P. R. C. Kent +23 more
semanticscholar +1 more source
Variational and diffusion quantum Monte Carlo calculations with the CASINO code. [PDF]
Journal of Chemical Physics, 2020 We present an overview of the variational and diffusion quantum Monte Carlo methods as implemented in the casino program. We particularly focus on developments made in the last decade, describing state-of-the-art quantum Monte Carlo algorithms and ...
R. Needs +4 more
semanticscholar +1 more source
Style-based quantum generative adversarial networks for Monte Carlo events [PDF]
Quantum, 2021 We propose and assess an alternative quantum generator architecture in the context of generative adversarial learning for Monte Carlo event generation, used to simulate particle physics processes at the Large Hadron Collider (LHC).
Carlos Bravo-Prieto +5 more
semanticscholar +1 more source
Atomic Nuclei From Quantum Monte Carlo Calculations With Chiral EFT Interactions [PDF]
Frontiers of Physics, 2020 Quantum Monte Carlo methods are powerful numerical tools to accurately solve the Schrödinger equation for nuclear systems, a necessary step to describe the structure and reactions of nuclei and nucleonic matter starting from realistic interactions and ...
S. Gandolfi +3 more
semanticscholar +1 more source