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Quantum chemistry calculations on a trapped-ion quantum simulator

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arxiv 1803.10238 v2 pith:V4BK46MK submitted 2018-03-27 quant-ph

classification quant-ph
keywords quantumchemistryalgorithmsimulatoraccuracyadaptivealgorithmsapplications
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Quantum-classical hybrid algorithms are emerging as promising candidates for near-term practical applications of quantum information processors in a wide variety of fields ranging from chemistry to physics and materials science. We report on the experimental implementation of such an algorithm to solve a quantum chemistry problem, using a digital quantum simulator based on trapped ions. Specifically, we implement the variational quantum eigensolver algorithm to calculate the molecular ground state energies of two simple molecules and experimentally demonstrate and compare different encoding methods using up to four qubits. Furthermore, we discuss the impact of measurement noise as well as mitigation strategies and indicate the potential for adaptive implementations focused on reaching chemical accuracy, which may serve as a cross-platform benchmark for multi-qubit quantum simulators.

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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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