825 citations · 2.9k across the 47 of their papers we have counts for
4 papers · 1 filter
Exponential challenges in unbiasing quantum Monte Carlo algorithms with quantum computers
Guglielmo Mazzola, Giuseppe Carleo
Recently, Huggins et. al. [Nature, 603, 416-420 (2022)] devised a general projective Quantum Monte Carlo method suitable for implementation on quantum computers. This hybrid approa…
Phenomenological Theory of Variational Quantum Ground-State Preparation
Nikita Astrakhantsev, Guglielmo Mazzola, Ivano Tavernelli +1
The variational approach is a cornerstone of computational physics, considering both conventional and quantum computing computational platforms. The variational quantum eigensolver…
Quantum-enhanced Markov chain Monte Carlo
David Layden, Guglielmo Mazzola, Ryan V. Mishmash +4
Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quant…
Extending the reach of quantum computing for materials science with machine learning potentials
Julian Schuhmacher, Guglielmo Mazzola, Francesco Tacchino +4
Solving electronic structure problems represents a promising field of application for quantum computers. Currently, much effort has been spent in devising and optimizing quantum al…