Quantum computing for chemistry and physics applications from a Monte Carlo perspective

G Mazzola - The Journal of Chemical Physics, 2024 - pubs.aip.org
This Perspective focuses on the several overlaps between quantum algorithms and Monte
Carlo methods in the domains of physics and chemistry. We will analyze the challenges and …

Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows

B Huang, YT Chen, B Gupt, M Suchara, A Tran… - Physical Review …, 2024 - APS
Solving the electronic structure problem of molecules and solids to high accuracy is a major
challenge in quantum chemistry and condensed matter physics. The rapid emergence and …

Enhancing variational Monte Carlo simulations using a programmable quantum simulator

MS Moss, S Ebadi, TT Wang, G Semeghini, A Bohrdt… - Physical Review A, 2024 - APS
Programmable quantum simulators based on Rydberg atom arrays are a fast-emerging
quantum platform, bringing together long coherence times, high-fidelity operations, and …

Walking through Hilbert space with quantum computers

T Jiang, J Zhang, MKA Baumgarten, MF Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Computations of chemical systems' equilibrium properties and non-equilibrium dynamics
have been suspected of being a" killer app" for quantum computers. This review highlights …

Contextual subspace auxiliary-field quantum Monte Carlo: Improved bias with reduced quantum resources

M Kiser, M Beuerle, F Simkovic IV - arXiv preprint arXiv:2408.06160, 2024 - arxiv.org
Using trial wavefunctions prepared on quantum devices to reduce the bias of auxiliary-field
quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to …

Maximizing quantum-computing expressive power through randomized circuits

Y Yang, Z Zhang, A Wang, X Xu, X Wang, Y Li - Physical Review Research, 2024 - APS
In the noisy intermediate-scale quantum era, variational quantum algorithms (VQAs) have
emerged as a promising avenue to obtain quantum advantage. However, the success of …