RT Journal Article
T1 Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
A1 Liu, Ruilin
A1 V. Romero, Sebastián
A1 Oregi, Izaskun
A1 Osaba, Eneko
A1 Villar-Rodriguez, Esther
A1 Ban, Yue
AB Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics. In this article, two ways to digitally prepare coherent states in quantum circuits are introduced. First, we construct the displacement operator by decomposing it into Pauli matrices via ladder operators, i.e., creation and annihilation operators. The high fidelity of the digitally generated coherent states is verified compared with the Poissonian distribution in Fock space. Secondly, by using Variational Quantum Algorithms, we choose different ansatzes to generate coherent states. The quantum resources—such as numbers of quantum gates, layers and iterations—are analyzed for quantum circuit learning. The simulation results show that quantum circuit learning can provide high fidelity on learning coherent states by choosing appropriate ansatzes.
SN 1099-4300
YR 2022
FD 2022-10-25
LA eng
NO Liu , R , V. Romero , S , Oregi , I , Osaba , E , Villar-Rodriguez , E & Ban , Y 2022 , ' Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States ' , Entropy , vol. 24 , no. 11 , 1529 , pp. 1529 . https://doi.org/10.3390/e24111529
NO Publisher Copyright: © 2022 by the authors.
DS TECNALIA Publications
RD 1 jul 2024