Subspace-search variational quantum eigensolver for excited states 论文

2019Physical Review Research引用 288顶会
Quantum Computing Algorithms and ArchitectureQuantum many-body systemsQuantum Information and Cryptography

摘要

The authors propose an algorithm, the subspace-search variational quantum eigensolver (SSVQE) that searches a low energy subspace by supplying orthogonal input states to the variational ansatz and relies on the unitarity of transformations to ensure the orthogonality of output states. This work extends the applicable domain of the Variational Quantum Eigensolver to excited states and their related properties.

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