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Accelerating the variational quantum eigensolver using parallelism
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DOI：10.1088/2058-9565/acd0d2.png)
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Abstract
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Quantum computers are getting larger and larger, but device fidelities may not be able to keep up with the increase in qubit numbers. One way to make use of a large device that has a limited gate depth is to run many small circuits simultaneously. In this paper we detail our investigations into running circuits in parallel on the Rigetti Aspen-M-1 device. We run two-qubit circuits in parallel to solve a simple instance of the Hubbard model using the variational quantum eigensolver (VQE). We present results for running up to 33 circuits in parallel (66 qubits), showing that with the use of error mitigation techniques it is possible to make use of, and gain a real-time speedup from, parallelisation on current quantum hardware. We obtain a speedup by 18x for exploring the VQE energy landscape, and by more than 8x for running VQE optimisation.
Keywords:
quantum computing
parallelisation
variational quantum eigensolver
NISQ algorithms
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