Perimeter Institute-ko ikertzaileekin lankidetzan egindako argitalpenak (8)

2023

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

    Quantum, Vol. 7

2021

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

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

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

    Physical Review X, Vol. 11, Núm. 2

2020

  1. Genuine Network Multipartite Entanglement

    Physical Review Letters, Vol. 125, Núm. 24

2019

  1. Bayesian deep learning on a quantum computer

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

2017

  1. Degenerate detectors are unable to harvest spacelike entanglement

    Physical Review D, Vol. 95, Núm. 10

2016

  1. Entanglement harvesting from the electromagnetic vacuum with hydrogenlike atoms

    Physical Review D, Vol. 94, Núm. 6

2015

  1. Harvesting correlations from the quantum vacuum

    Physical Review D - Particles, Fields, Gravitation and Cosmology, Vol. 92, Núm. 6