Publicaciones (24) Publicaciones de ALEJANDRO POZAS KERSTJENS

2023

  1. A didactic approach to quantum machine learning with a single qubit

    Physica Scripta, Vol. 98, Núm. 5

  2. Bell Inequalities with Overlapping Measurements

    Physical Review Letters, Vol. 131, Núm. 8

  3. Certification of non-classicality in all links of a photonic star network without assuming quantum mechanics

    Nature communications, Vol. 14, Núm. 1, pp. 2153

  4. Experimental Full Network Nonlocality with Independent Sources and Strict Locality Constraints

    Physical Review Letters, Vol. 130, Núm. 19

  5. Inflation: a Python library for classical and quantum causal compatibility

    Quantum, Vol. 7

  6. Post-quantum nonlocality in the minimal triangle scenario

    New Journal of Physics, Vol. 11, Núm. 1

  7. Proofs of Network Quantum Nonlocality in Continuous Families of Distributions

    Physical Review Letters, Vol. 130, Núm. 9

2022

  1. Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm

    Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors

  2. Bell nonlocality in networks

    Reports on progress in physics. Physical Society (Great Britain), Vol. 85, Núm. 5

  3. Full Network Nonlocality

    Physical Review Letters, Vol. 128, Núm. 1

  4. Single-photon nonlocality in quantum networks

    Physical Review Research, Vol. 4, Núm. 1

2021

  1. Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machinesy

    Machine Learning: Science and Technology, Vol. 2, Núm. 4

  2. Efficient training of energy-based models via spin-glass control

    Machine Learning: Science and Technology, Vol. 2, Núm. 2

  3. Quantum Inflation: A General Approach to Quantum Causal Compatibility

    Physical Review X, Vol. 11, Núm. 2

2020

  1. Computación cuántica en la nube: un laboratorio en tu portátil

    Revista española de física, Vol. 34, Núm. 1, pp. 25-29

  2. Genuine Network Multipartite Entanglement

    Physical Review Letters, Vol. 125, Núm. 24

  3. Understanding and improving unsupervised training of Boltzmann machines

    ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2019

  1. Bayesian deep learning on a quantum computer

    Quantum Machine Intelligence, Vol. 1, Núm. 1-2, pp. 41-51

  2. Bounding the Sets of Classical and Quantum Correlations in Networks

    Physical Review Letters, Vol. 123, Núm. 14

2018

  1. A quantum Otto engine with finite heat baths: Energy, correlations, and degradation

    New Journal of Physics, Vol. 20, Núm. 4