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 18463240 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.