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Benefits of Open Quantum Systems for Quantum Machine Learning
María Laura Olivera-Atencio, Lucas Lamata, Jesús Casado-Pascual
Quantum machine learning is a discipline that holds the promise of revolutionizing data processing and problem-solving. However, dissipation and noise arising from the coupling wit…
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
J. E. García-Ramos, A. Sáiz, J. M. Arias +2
In this paper, the application of quantum simulations and quantum machine learning to solve low-energy nuclear physics problems is explored. The use of quantum computing to deal wi…
Digital-Analog Quantum Computation with Arbitrary Two-Body Hamiltonians
Mikel Garcia-de-Andoin, Álvaro Saiz, Pedro Pérez-Fernández +3
Digital-analog quantum computing is a computational paradigm which employs an analog Hamiltonian resource together with single-qubit gates to reach universality. Here, we design a…
Quantum Machine Learning Implementations: Proposals and Experiments
Lucas Lamata
This article gives an overview and a perspective of recent theoretical proposals and their experimental implementations in the field of quantum machine learning. Without an aim to…