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Variational quantum eigensolver with reduced circuit complexity

  • Yu Zhang
  • , Lukasz Cincio
  • , Christian F.A. Negre
  • , Piotr Czarnik
  • , Patrick J. Coles
  • , Petr M. Anisimov
  • , Susan M. Mniszewski
  • , Sergei Tretiak
  • , Pavel A. Dub

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

The variational quantum eigensolver (VQE) is one of the most promising algorithms to find eigenstates of a given Hamiltonian on noisy intermediate-scale quantum devices (NISQ). The practical realization is limited by the complexity of quantum circuits. Here we present an approach to reduce quantum circuit complexity in VQE for electronic structure calculations. Our ClusterVQE algorithm splits the initial qubit space into clusters which are further distributed on individual (shallower) quantum circuits. The clusters are obtained based on mutual information reflecting maximal entanglement between qubits, whereas inter-cluster correlation is taken into account via a new “dressed” Hamiltonian. ClusterVQE therefore allows exact simulation of the problem by using fewer qubits and shallower circuit depth at the cost of additional classical resources, making it a potential leader for quantum chemistry simulations on NISQ devices. Proof-of-principle demonstrations are presented for several molecular systems based on quantum simulators as well as IBM quantum devices.

Original languageEnglish
Article number96
Journalnpj Quantum Information
Volume8
Issue number1
DOIs
StatePublished - Dec 2022

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