Quantum Adiabatic Algorithm Design using Reinforcement Learning

The dataset used in the paper is a reinforcement learning-based approach for automated quantum adiabatic algorithm design. The dataset consists of Grover search and 3-SAT problems.

Data and Resources

Cite this as

Jian Lin, Zhong Yuan Lai, Xiaopeng Li (2024). Dataset: Quantum Adiabatic Algorithm Design using Reinforcement Learning. https://doi.org/10.57702/pa9iuzc3

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1103/PhysRevA.101.052327
Author Jian Lin
More Authors
Zhong Yuan Lai
Xiaopeng Li