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Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth

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arxiv 2105.09100 v4 pith:RCJO53ZL submitted 2021-05-19 quant-ph

Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth

classification quant-ph
keywords quantummethodcarlointegrationmonteadvantageapplicationestimation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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. No previous proposal for quantum Monte Carlo integration has achieved all of these at once. The heart of the proposed method is a Fourier series decomposition of the sum that approximates the expectation in Monte Carlo integration, with each component then estimated individually using quantum amplitude estimation. The main result is presented as theoretical statement of asymptotic advantage, and numerical results are also included to illustrate the practical benefits of the proposed method. The method presented in this paper is the subject of a patent application [Quantum Computing System and Method: Patent application GB2102902.0 and SE2130060-3].

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Overview of Applications of Quantum Computing in QCD

    hep-ph 2026-07 accept novelty 2.0

    A concise literature overview of quantum algorithms for QCD and collider tasks, stressing possible advantages over classical methods and NISQ hardware limits.