3 papers
quant-ph2025
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…
quant-ph2023★ 4 cited
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…
quant-ph2023
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…