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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 ...
Speeding up quantum perceptron via shortcuts to adiabaticity
(Springer Nature, 2021-03-11)
The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to ...
Toward Pricing Financial Derivatives with an IBM Quantum Computer
(American Physical Society, 2021-02-22)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time evolution of interest rates. Several stochastic dynamics have been proposed in the literature ...