2024
DOI: 10.1021/acs.jctc.4c00295
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Fighting Noise with Noise: A Stochastic Projective Quantum Eigensolver

Maria-Andreea Filip

Abstract: In the current noisy intermediate scale quantum era of quantum computation, available hardware is severely limited by both qubit count and noise levels, precluding the application of many current hybrid quantum-classical algorithms to nontrivial quantum chemistry problems. In this paper we propose applying some of the fundamental ideas of conventional Quantum Monte Carlo algorithms�stochastic sampling of both the wave function and the Hamiltonian�to quantum algorithms in order to significantly decrease quantum… Show more

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