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Learning the quantum algorithm for state overlap
2018
New Journal of Physics
Short-depth algorithms are crucial for reducing computational error on near-term quantum computers, for which decoherence and gate infidelity remain important issues. Here we present a machine-learning approach for discovering such algorithms. We apply our method to a ubiquitous primitive: computing the overlap Tr(ρσ) between two quantum states ρ and σ. The standard algorithm for this task, known as the Swap Test, is used in many applications such as quantum support vector machines, and, when
doi:10.1088/1367-2630/aae94a
fatcat:2rrv7as2srairf4mcfkox6f64y