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06/14/2023
TensorKrowch: Smooth integration of tensor networks in machine learning
Tensor networks are factorizations of high-dimensional tensors into netw...
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10/23/2022
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm
Binary Neural Networks are a promising technique for implementing effici...
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02/24/2022
Physics solutions for machine learning privacy leaks
Machine learning systems are becoming more and more ubiquitous in increa...
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12/21/2020
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
We provide a robust defence to adversarial attacks on discriminative alg...
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10/03/2019
Efficient training of energy-based models via spin-glass control
We present an efficient method for unsupervised learning using Boltzmann...
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09/23/2019
Quantum Inflation: A General Approach to Quantum Causal Compatibility
Causality is a seminal concept in science: any research discipline, from...
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06/29/2018
