Accelerating the variational quantum eigensolver using parallelism

Abstract

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. 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 $18\times$ for exploring the VQE energy landscape, and by more than $8\times$ for running VQE optimisation.

6+3 pages, 11 figures; v2: published version

References in corpus (2)

• Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer
• Error mitigation by training with fermionic linear optics

Cited by in corpus (7)

• Accelerated variational quantum eigensolver with joint Bell measurement
• Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits
• Multi-Level Variational Spectroscopy using a Programmable Quantum Simulator
• Unveiling quantum phase transitions from traps in variational quantum algorithms
• Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm
• Demonstration of a variational quantum eigensolver with a solid-state spin system under ambient conditions
• Exploiting many-body localization for scalable variational quantum simulation