Avoiding symmetry roadblocks and minimizing the measurement overhead of adaptive variational quantum eigensolvers
V. O. Shkolnikov, Nicholas J. Mayhall, Sophia E. Economou, Edwin, Barnes

TL;DR
This paper introduces a method to reduce measurement overhead in adaptive variational quantum eigensolvers by using minimal complete operator pools, improving efficiency in quantum simulations of strongly correlated systems.
Contribution
It proves that operator pools of size 2n-2 can represent any state, discusses their properties, and shows how to adapt them for symmetry considerations to enhance VQE performance.
Findings
Measurement overhead can be reduced to linear growth with qubits.
Complete pools of size 2n-2 are sufficient for universal state representation.
Symmetry-adapted pools improve convergence in simulations.
Abstract
Quantum simulation of strongly correlated systems is potentially the most feasible useful application of near-term quantum computers. Minimizing quantum computational resources is crucial to achieving this goal. A promising class of algorithms for this purpose consists of variational quantum eigensolvers (VQEs). Among these, problem-tailored versions such as ADAPT-VQE that build variational ans\"atze step by step from a predefined operator pool perform particularly well in terms of circuit depths and variational parameter counts. However, this improved performance comes at the expense of an additional measurement overhead compared to standard VQEs. Here, we show that this overhead can be reduced to an amount that grows only linearly with the number of qubits, instead of quartically as in the original ADAPT-VQE. We do this by proving that operator pools of size can represent…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
