47 citations · 71 across the 6 of their papers we have counts for
6 papers
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…
End-to-End Analysis of Charge Stability Diagrams with Transformers
Rahul Marchand, Lucas Schorling, Cornelius Carlsson +8
Transformer models and end-to-end learning frameworks are rapidly revolutionizing the field of artificial intelligence. In this work, we apply object detection transformers to anal…
Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning
Omar Shindi, Qi Yu, Parth Girdhar +1
High-fidelity quantum gate design is important for various quantum technologies, such as quantum computation and quantum communication. Numerous control policies for quantum gate d…
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…
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…
Cosmological Zitterbewegung
Parth Girdhar, Archil Kobakhidze
We describe a new phenomenon of zitterbewegung of a free Dirac particle in cosmological spacetimes. Unlike the similar effect theorized by Schrodinger in 1930, the cosmological zit…