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Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer (1811.07594v2)
Published 19 Nov 2018 in quant-ph, cond-mat.mes-hall, cs.AI, cs.ET, and cs.LG
Abstract: We present an experimental realization of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer. The experiment in this few-qubit superconducting chip faithfully reproduces the theoretical proposal, setting the first steps towards a semiautonomous quantum agent. This experiment paves the way towards quantum reinforcement learning with superconducting circuits.
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