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Measurement Optimization in the Variational Quantum Eigensolver Using a Minimum Clique Cover

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arxiv 1907.03358 v4 pith:DARPE3WR submitted 2019-07-07 quant-ph physics.chem-ph

classification quant-phphysics.chem-ph
keywords hamiltoniantermsmeasurementnumberproblemqubit-wisesingle-qubitclique
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Solving the electronic structure problem using the Variational Quantum Eigensolver (VQE) technique involves measurement of the Hamiltonian expectation value. Current hardware can perform only projective single-qubit measurements, and thus, the Hamiltonian expectation value is obtained by measuring parts of the Hamiltonian rather than the full Hamiltonian. This restriction makes the measurement process inefficient because the number of terms in the Hamiltonian grows as $O(N^4)$ with the size of the system, $N$. To optimize VQE measurement one can try to group as many Hamiltonian terms as possible for their simultaneous measurement. Single-qubit measurements allow one to group only the terms that commute within corresponding single-qubit subspaces or qubit-wise commuting. We found that qubit-wise commutativity between the Hamiltonian terms can be expressed as a graph and the problem of the optimal grouping is equivalent of finding a minimum clique cover (MCC) for the Hamiltonian graph. The MCC problem is NP-hard but there exist several polynomial heuristic algorithms to solve it approximately. Several of these heuristics were tested in this work for a set of molecular electronic Hamiltonians. On average, grouping qubit-wise commuting terms reduced the number of operators to measure three times compared to the total number of terms in the considered Hamiltonians.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. STABSim: A Parallelized Clifford Simulator with Features Beyond Direct Simulation

    quant-ph 2025-07 conditional novelty 6.0 of 10

    STABSim is a GPU-accelerated Clifford tableau simulator with new measurement handling, exact T1/T2 noise sampling in a common regime, and a fast Clifford+T to PBC transpiler.

  2. Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information

    quant-ph 2025-02 reject novelty 6.0 of 10

    An adaptive estimator based on empirical Bernstein stopping reduces the number of measurements needed to estimate ground-state energies with rigorous error bounds, by up to an order of magnitude in numerical benchmarks.

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