Results 11 to 20 of about 189,782 (285)
Quantum-enhanced Markov chain Monte Carlo
Nature, 2023 Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quantum computers have recently been used to sample from complicated distributions that are hard to sample from classically, but which seldom arise in applications.
Layden, David +6 more
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Unbiasing fermionic quantum Monte Carlo with a quantum computer. [PDF]
Nature, 2022 Huggins WJ +5 more
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Accelerated Quantum Monte Carlo with Mitigated Error on Noisy Quantum Computer
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, Bing-Nan Lu, Ying Li
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Quantum Ice: A Quantum Monte Carlo Study [PDF]
Physical Review Letters, 2012 Ice states, in which frustrated interactions lead to a macroscopic ground-state degeneracy, occur in water ice, in problems of frustrated charge order on the pyrochlore lattice, and in the family of rare-earth magnets collectively known as spin ice. Of particular interest at the moment are "quantum spin ice" materials, where large quantum fluctuations ...
Shannon, N. +4 more
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Style-based quantum generative adversarial networks for Monte Carlo events [PDF]
Quantum, 2022 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
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Sign-problem free quantum stochastic series expansion algorithm on a quantum computer
npj Quantum Information, 2022 A quantum implementation of the Stochastic Series Expansion (SSE) Monte Carlo method is proposed, and is shown to offer significant advantages over classical implementations of SSE.
Kok Chuan Tan +2 more
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Krylov-Projected Quantum Monte Carlo Method [PDF]
Physical Review Letters, 2015 We present an approach to the calculation of arbitrary spectral, thermal, and excited state properties within the full configuration interaction quzantum Monte Carlo framework. This is achieved via an unbiased projection of the Hamiltonian eigenvalue problem into a space of stochastically sampled Krylov vectors, thus, enabling the calculation of real ...
Blunt, Nicholas +2 more
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Quantum Monte Carlo with directed loops [PDF]
Physical Review E, 2002 We introduce the concept of directed loops in stochastic series expansion and path integral quantum Monte Carlo methods. Using the detailed balance rules for directed loops, we show that it is possible to smoothly connect generally applicable simulation schemes (in which it is necessary to include back-tracking processes in the loop construction) to ...
Syljuasen, Olav F., Sandvik, Anders W.
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Química Nova, 2008 The paper presents an introductory and general discussion on the quantum Monte Carlo methods, some fundamental algorithms, concepts and applicability. In order to introduce the quantum Monte Carlo method, preliminary concepts associated with Monte Carlo ...
Wagner Fernando Delfino Angelotti +3 more
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Algorithms for Quantum Simulation at Finite Energies
PRX Quantum, 2021 We introduce two kinds of quantum algorithm to explore microcanonical and canonical properties of many-body systems. The first is a hybrid quantum algorithm that, given an efficiently preparable state, computes expectation values in a finite energy ...
Sirui Lu +2 more
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