9 citations · 13 across the 3 of their papers we have counts for
3 papers
Deep reinforcement learning for near-deterministic preparation of cubic- and quartic-phase gates in photonic quantum computing
Amanuel Anteneh, Léandre Brunel, Carlos González-Arciniegas +1
Cubic-phase states are a sufficient resource for universal quantum computing over continuous variables. We present results from numerical experiments in which deep neural networks…
Machine learning for efficient generation of universal hybrid quantum computing resources
Amanuel Anteneh, Olivier Pfister
We present numerical simulations of deep reinforcement learning on a measurement-based quantum processor--a time-multiplexed optical circuit sampled by photon-number-resolving dete…
Full Bell-basis measurement of an atom-photon 2-qubit state and its application for quantum networks
Elena Arenskötter, Stephan Kucera, Omar Elshehy +4
The efficiency of a Bell-state measurement on photon pairs is bound to 50\,\% due to the number of Bell states that can be distinguished using linear optics. Here we present the im…