Measurement-based adaptation protocol with quantum reinforcement
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Measurement-based adaptation protocol with quantum reinforcement learning

14 March 2018

Francisco Albarrán-Arriagada

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Papers citing "Measurement-based adaptation protocol with quantum reinforcement learning"

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Title
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 48 16 0 30 Mar 2022
Photonic Quantum Policy Learning in OpenAI Gym D. Nagy Zsolt I. Tabi Péter Hága Zsófia Kallus Z. Zimborás 96 8 0 29 Aug 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall Hans J. Briegel Vedran Dunjko 87 114 0 09 Mar 2021
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 95 14 0 12 Dec 2020
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving Jiahao Yao Lin Lin Marin Bukov BDL AI4CE 120 62 0 07 Oct 2020
Quantum machine learning and quantum biomimetics: A perspective L. Lamata AI4CE 94 57 0 25 Apr 2020
Automated quantum programming via reinforcement learning for combinatorial optimization K. McKiernan Erik J. Davis M. S. Alam C. Rigetti 115 21 0 21 Aug 2019
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer Julio Olivares-Sánchez J. Casanova Enrique Solano L. Lamata 67 38 0 19 Nov 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 135 885 0 23 Mar 2018