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Experimental Semi-Autonomous Eigensolver Using Reinforcement Learning
(Nature, 2021-06-10)
The characterization of observables, expressed via Hermitian operators, is a crucial task in quantum mechanics. For this reason, an eigensolver is a fundamental algorithm for any quantum technology. In this work, we implement ...
Superconducting circuit architecture for digital-analog quantum computing
(Springer, 2022)
[EN] We propose a superconducting circuit architecture suitable for digital-analog quantum computing (DAQC) based on an enhanced NISQ family of nearest-neighbor interactions. DAQC makes a smart use of digital steps (single ...