Abstract

Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm that, instead of fixing an ansatz upfront, grows it systematically one operator at a time in a way dictated by the molecule being simulated. This generates an ansatz with a small number of parameters, leading to shallow-depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present-day and near-term quantum hardware.

Highlights

  • Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers

  • The phase estimation algorithm (PEA)[4] was the first algorithm proposed for simulating electronic structure problems on a quantum computer[1,5]

  • Due to the very long circuit depths and complex quantum gates required by PEA, the coherence times needed to simulate interesting electronic states would exceed the coherence times available on any existing or near-term quantum device

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Summary

Introduction

Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The quantum hardware is only used to prepare a state (defined by its current set of ansatz parameter values) interaction terms and to in the perform measurements of the molecular Hamiltonian, H^ 1⁄4 ADAPT-VQE determines a quasi-optimal ansatz with the minimal number of operators for a desired level of accuracy.

Results
Conclusion

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