Now showing items 1-6 of 6

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      An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats 

      Miranda, E.R.; Venkatesh, S.; Martín Guerrero, José D.; Hernani Morales, C.; Lamata Manuel, Lucas; Solano, Enrique (Old City Publishing, 2022)
      We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed ...
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      Quantum Brain Networks: A Perspective 

      Miranda, Eduardo R.; Martín Guerrero, José D.; Venkatesh, S.; Hernani Morales, C.; Lamata Manuel, Lucas; Solano, Enrique (MDPI, 2022)
      We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integratingknowledge and methods from ...
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      Quantum Machine Learning: A tutorial 

      Martín Guerrero, José D.; Lamata Manuel, Lucas (Elsevier, 2022)
      This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together ...
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      Reinforcement Learning and Physics 

      Martín Guerrero, José D.; Lamata Manuel, Lucas (MDPI, 2021)
      Machine learning techniques provide a remarkable tool for advancing scientific research, and this area has significantly ...
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      Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer 

      Ding, Yongcheng; González Conde, Javier; Lamata Manuel, Lucas; Martín Guerrero, José D.; Lizaso, Enrique; Mugel, Samuel; Sanz, Mikel (MDPI, 2023)
      Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no ...
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      Toward pricing financial derivatives with an IBM quantum computer 

      Martín, Ana; Candelas, Bruno; Rodríguez Rozas, Ángel; Martín Guerrero, José D.; Chen, Xi; Lamata Manuel, Lucas; Orús, Román; Solano, Enrique; Sanz, Mikel (American Physical Society, 2021)
      Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce ...