47 citations · 71 across the 6 of their papers we have counts for
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quant-ph2026
Training single-electron and single-photon stochastic physical neural networks
Tong Dou, Shiro Kumara, Josh Burns +6
The computational demands of deep learning motivate the investigation of alternative approaches to computation. One alternative is physical neural networks~(PNNs), in which learnin…
quant-ph2020★ 22 cited
Testing Generalised Uncertainty Principles through Quantum Noise
Parth Girdhar, Andrew C. Doherty
Motivated by several approaches to quantum gravity, there is a considerable literature on generalised uncertainty principles particularly through modification of the canonical posi…
quant-ph2016★ 47 cited
All two-qubit states that are steerable via Clauser-Horne-Shimony-Holt-type correlations are Bell nonlocal
Parth Girdhar, Eric G. Cavalcanti
We derive a new inequality that is necessary and sufficient to show EPR-steering in a scenario employing only correlations between two arbitrary dichotomic measurements on each par…