International business machines corporation (20250005368). REINFORCED LEARNING FOR QUANTUM DESIGN
REINFORCED LEARNING FOR QUANTUM DESIGN
Organization Name
international business machines corporation
Inventor(s)
Juan Cruz Benito of Salamanca ES
Zlatko Kristev Minev of White Plains NY US
Francisco Jose Martin Fernandez of Ridgefield CT US
Ismael Faro Sertage of Chappaqua NY US
REINFORCED LEARNING FOR QUANTUM DESIGN
This abstract first appeared for US patent application 20250005368 titled 'REINFORCED LEARNING FOR QUANTUM DESIGN
Original Abstract Submitted
a computer-implemented process for generating a policy for design of quantum devices using a quantum hardware design kit including instructions and parameters associated with the instructions includes the following operations. an environment for a reinforcement learning architecture that includes a neural network as at least part of an agent is defined. a policy is generated by training the neural network using the environment. the defining the environment includes: defining actions of the neural network from a set of the instructions and parameters combinations associated with the quantum hardware design kit; and defining a reward function for generation of the policy.