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Monte Carlo sampling from the quantum state space. II
New Journal of Physics, 2015 High-quality random samples of quantum states are needed for a variety of tasks in quantum information and quantum computation. Searching the high-dimensional quantum state space for a global maximum of an objective function with many local maxima or ...
Yi-Lin Seah +4 more
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Quantum-Inspired Magnetic Hamiltonian Monte Carlo.
PLoS ONE, 2021 Hamiltonian Monte Carlo (HMC) is a Markov Chain Monte Carlo algorithm that is able to generate distant proposals via the use of Hamiltonian dynamics, which are able to incorporate first-order gradient information about the target posterior.
Wilson Tsakane Mongwe +2 more
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Quantum Gibbs ensemble Monte Carlo [PDF]
The Journal of Chemical Physics, 2014 We present a path integral Monte Carlo method which is the full quantum analogue of the Gibbs ensemble Monte Carlo method of Panagiotopoulos to study the gas-liquid coexistence line of a classical fluid. Unlike previous extensions of Gibbs ensemble Monte
Fantoni, Riccardo, Moroni, Saverio
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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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Addressing general measurements in quantum Monte Carlo [PDF]
Nature CommunicationsQuantum Monte Carlo is one of the most promising approaches for dealing with large-scale quantum many-body systems. It has played an extremely important role in understanding strongly correlated physics. However, two fundamental problems, namely the sign
Zhiyan Wang +4 more
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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-assisted Monte Carlo algorithms for fermions [PDF]
Quantum, 2023 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
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Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth [PDF]
Quantum, 2022 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
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Robust Extraction of Thermal Observables from State Sampling and Real-Time Dynamics on Quantum Computers [PDF]
Quantum, 2023 Simulating properties of quantum materials is one of the most promising applications of quantum computation, both near- and long-term. While real-time dynamics can be straightforwardly implemented, the finite temperature ensemble involves non-unitary ...
Khaldoon Ghanem +2 more
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