Search Results for author: Pavel Sekatski

Found 4 papers, 1 papers with code

Setting up experimental Bell test with reinforcement learning

no code implementations4 May 2020 Alexey A. Melnikov, Pavel Sekatski, Nicolas Sangouard

Finding optical setups producing measurement results with a targeted probability distribution is hard as a priori the number of possible experimental implementations grows exponentially with the number of modes and the number of devices.

reinforcement-learning Reinforcement Learning (RL)

Control of Stochastic Quantum Dynamics by Differentiable Programming

1 code implementation4 Jan 2021 Frank Schäfer, Pavel Sekatski, Martin Koppenhöfer, Christoph Bruder, Michal Kloc

We apply this approach to the state preparation and stabilization of a qubit subjected to homodyne detection.

An exponentially-growing family of universal quantum circuits

no code implementations1 Dec 2022 Mo Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov

Independently, angle-embedded supervised quantum neural networks were shown to produce truncated Fourier series with a degree directly dependent on two factors: the depth of the encoding and the number of parallel qubits the encoding applied to.

Quantum Machine Learning

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