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Prospects of Quantum Computing for Molecular Sciences

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arxiv 2102.10081 v2 pith:3VGWQFUB submitted 2021-02-19 quant-ph

classification quant-ph
keywords quantummolecularproblemscomputingmaterialssciencesciencesaddressed
verification ladder T0 review T1 audit T2 compute T3 formal
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Molecular science is governed by the dynamics of electrons, atomic nuclei, and their interaction with electromagnetic fields. A reliable physicochemical understanding of these processes is crucial for the design and synthesis of chemicals and materials of economic value. Although some problems in this field are adequately addressed by classical mechanics, many require an explicit quantum mechanical description. Such quantum problems represented by exponentially large wave function should naturally benefit from quantum computation on a number of logical qubits that scales only linearly with system size. In this perspective, we focus on the potential of quantum computing for solving relevant problems in the molecular sciences -- molecular physics, chemistry, biochemistry, and materials science.

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Cited by 1 Pith paper

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

  1. Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information

    quant-ph 2025-02 reject novelty 6.0 of 10

    An adaptive estimator based on empirical Bernstein stopping reduces the number of measurements needed to estimate ground-state energies with rigorous error bounds, by up to an order of magnitude in numerical benchmarks.

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