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Books and Theses
- 2019
[b1]Alejandro Pozas-Kerstjens:
Quantum information outside quantum information. Polytechnic University of Catalonia, Spain, 2019
Journal Articles
- 2023
- [j4]Emanuel-Cristian Boghiu
, Elie Wolfe, Alejandro Pozas-Kerstjens:
Inflation: a Python library for classical and quantum causal compatibility. Quantum 7: 996 (2023) - 2021
- [j3]Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski:
Efficient training of energy-based models via spin-glass control. Mach. Learn. Sci. Technol. 2(2): 25026 (2021) - [j2]Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens:
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines †. Mach. Learn. Sci. Technol. 2(4): 45006 (2021) - 2019
- [j1]Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek:
Bayesian deep learning on a quantum computer. Quantum Mach. Intell. 1(1-2): 41-51 (2019)
Conference and Workshop Papers
- 2022
- [c2]Sonia Lopez Alarcon, Cory E. Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens:
Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm. ICCD 2022: 427-433 - 2020
- [c1]Przemyslaw R. Grzybowski, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens, Miguel Ángel García-March, Maciej Lewenstein:
Understanding and improving unsupervised training of Boltzman machines. ESANN 2020: 273-278
Informal and Other Publications
- 2023
- [i8]José Ramón Pareja Monturiol, David Pérez-García, Alejandro Pozas-Kerstjens:
TensorKrowch: Smooth integration of tensor networks in machine learning. CoRR abs/2306.08595 (2023) - [i7]Przemyslaw R. Grzybowski, Antoni Jankiewicz, Eloy Piñol, David Cirauqui, Dorota H. Grzybowska, Pawel M. Petrykowski, Miguel Ángel García-March, Maciej Lewenstein, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens:
Universal representation by Boltzmann machines with Regularised Axons. CoRR abs/2310.14395 (2023) - 2022
- [i6]Alejandro Pozas-Kerstjens, Senaida Hernández Santana, José Ramón Pareja Monturiol, Marco Castrillón López, Giannicola Scarpa, Carlos E. González-Guillén, David Pérez-García:
Physics solutions for machine learning privacy leaks. CoRR abs/2202.12319 (2022) - [i5]Sonia Lopez Alarcon, Cory E. Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens:
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm. CoRR abs/2210.12707 (2022) - 2020
- [i4]Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens:
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines. CoRR abs/2012.11619 (2020) - 2019
- [i3]Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascués:
Quantum Inflation: A General Approach to Quantum Causal Compatibility. CoRR abs/1909.10519 (2019) - [i2]Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski:
Efficient training of energy-based models via spin-glass control. CoRR abs/1910.01592 (2019) - 2018
- [i1]Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek:
Bayesian Deep Learning on a Quantum Computer. CoRR abs/1806.11463 (2018)
Coauthor Index
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