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Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning

Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning

21 May 2024
David Kremer
Victor Villar
Hanhee Paik
Ivan Duran
Ismael Faro
Juan Cruz-Benito
ArXivPDFHTML

Papers citing "Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning"

12 / 12 papers shown
Title
Pauli Network Circuit Synthesis with Reinforcement Learning
Pauli Network Circuit Synthesis with Reinforcement Learning
Ayushi Dubal
David Kremer
Simon Martiel
Victor Villar
Derek Wang
Juan Cruz-Benito
72
0
0
18 Mar 2025
Quantum Artificial Intelligence: A Brief Survey
Quantum Artificial Intelligence: A Brief Survey
Matthias Klusch
Jorg Lassig
Daniel Mussig
A. Macaluso
Frank K. Wilhelm
67
3
0
20 Aug 2024
AI methods for approximate compiling of unitaries
AI methods for approximate compiling of unitaries
David Kremer
Victor Villar
Sanjay Vishwakarma
Ismael Faro
Juan Cruz-Benito
39
2
0
30 Jul 2024
Qiskit Code Assistant: Training LLMs for generating Quantum Computing
  Code
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code
Nicolas Dupuis
Luca Buratti
Sanjay Vishwakarma
Aitana Viudes Forrat
David Kremer
Ismael Faro
Ruchir Puri
Juan Cruz-Benito
55
7
0
29 May 2024
Quantum Circuit Optimization with AlphaTensor
Quantum Circuit Optimization with AlphaTensor
Francisco J. R. Ruiz
Tuomas Laakkonen
Johannes Bausch
Matej Balog
M. Barekatain
...
Bernardino Romera-Paredes
J. V. D. Wetering
Alhussein Fawzi
K. Meichanetzidis
Pushmeet Kohli
35
23
0
22 Feb 2024
Compiler Optimization for Quantum Computing Using Reinforcement Learning
Compiler Optimization for Quantum Computing Using Reinforcement Learning
Nils Quetschlich
Lukas Burgholzer
Robert Wille
55
27
0
08 Dec 2022
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
Owen Lockwood
42
9
0
07 Sep 2021
Variational quantum compiling with double Q-learning
Variational quantum compiling with double Q-learning
Zhimin He
Lvzhou Li
Shenggen Zheng
Yongyao Li
Haozhen Situ
25
42
0
22 Mar 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
221
466
0
10 Mar 2020
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
346
5,714
0
25 Jul 2019
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical
  Reaction Prediction
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
91
730
0
06 Nov 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
236
18,685
0
20 Jul 2017
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