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Listar por autor "Albarrán Arriagada, Francisco"  

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      Adaptive random quantum eigensolver 

      Barraza, N.; Pan, C.-Y.; Lamata Manuel, Lucas; Solano, E.; Albarrán Arriagada, Francisco (American Physical Society, 2022)
      We propose an adaptive random quantum algorithm to obtain an optimized eigensolver. Specifically, we introduce a general ...
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      Analog quantum approximate optimization algorithm 

      Barraza, Nancy Korina; Alvarado Barrios, Gabriel Dario; Peng, Jie; Lamata Manuel, Lucas; Solano, Enrique; Albarrán Arriagada, Francisco (IOP Publishing, 2022)
      We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The ...
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      One-Photon Solutions to the Multiqubit Multimode Quantum Rabi Model for Fast W -State Generation 

      Peng, Jie; Zheng, Juncong; Yu, Jing; Tang,Pinghua; Alvarado Barrios, G.; Solano, Enrique; Albarrán Arriagada, Francisco; Lamata Manuel, Lucas (American Physical Society, 2021)
      General solutions to the quantum Rabi model involve subspaces with an unbounded number of photons. However, for the ...
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      Reinforcement learning for semi-autonomous approximate quantum eigensolver 

      Albarrán Arriagada, Francisco; Retamal, Juan Carlos; Solano, Enrique; Lamata Manuel, Lucas (IOP Publishing, 2020)
      The characterization of an operator by its eigenvectors and eigenvalues allows us to know its action over any quantum ...