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20222026
most citedAccelerating the training of single-layer binary neural networks using the HHL quantum algorithm

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

The minimal example of quantum network Bell nonlocality

Erwan Don, Jessica Bavaresco, Patryk Lipka-Bartosik +3

In recent years, the study of Bell nonlocality has been generalized to quantum networks, where multiple independent sources distribute physical systems to distant parties who perfo…

cs.LG2026

Quantum-inspired tensor networks in machine learning models

Guillermo Valverde, Igor García-Olaizola, Giannicola Scarpa +1

Tensor networks were developed in the context of many-body physics as compressed representations of multiparticle quantum states. These representations mitigate the exponential com…

quant-ph2026

A versatile neural-network toolbox for testing Bell locality in networks

Antoine Girardin, Mohammad Massi Rashidi, Géraldine Haack +2

Determining whether an observed distribution of events generated in a quantum network is Bell local, i.e., if it admits an alternative realization in terms of independent local var…

quant-ph2024★ 1 cited

Guarantees on the structure of experimental quantum networks

Andrés Ulibarrena, Jonathan W. Webb, Alexander Pickston +3

Quantum networks connect and supply a large number of nodes with multi-party quantum resources for secure communication, networked quantum computing and distributed sensing. As the…

quant-ph2022★ 4 cited

Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm

Sonia Lopez Alarcon, Cory Merkel, Martin Hoffnagle +2

Binary Neural Networks are a promising technique for implementing efficient deep models with reduced storage and computational requirements. The training of these is however, still…