Accelerated Variational Quantum Eigensolver
The problem of finding the ground state energy of a Hamiltonian using a quantum computer is currently solved using either the quantum phase estimation (QPE) or variational quantum eigensolver (VQE) algorithms. For precision ε, QPE requires O(1) repetitions of circuits with depth O(1/ε), whereas each...
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Veröffentlicht in: | Physical review letters 2019-04, Vol.122 (14), p.140504-140504, Article 140504 |
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Sprache: | eng |
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Zusammenfassung: | The problem of finding the ground state energy of a Hamiltonian using a quantum computer is currently solved using either the quantum phase estimation (QPE) or variational quantum eigensolver (VQE) algorithms. For precision ε, QPE requires O(1) repetitions of circuits with depth O(1/ε), whereas each expectation estimation subroutine within VQE requires O(1/ε^{2}) samples from circuits with depth O(1). We propose a generalized VQE algorithm that interpolates between these two regimes via a free parameter α∈[0,1], which can exploit quantum coherence over a circuit depth of O(1/ε^{α}) to reduce the number of samples to O(1/ε^{2(1-α)}). Along the way, we give a new routine for expectation estimation under limited quantum resources that is of independent interest. |
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ISSN: | 0031-9007 1079-7114 |
DOI: | 10.1103/physrevlett.122.140504 |