+++
title = "Reinforced Learning for Quantum Design"
date = 2025-02-01
authors = ["Juan Cruz-Benito",  "Zlatko Kristev Minev", "Francisco Jose Martin Fernandez", "Ismael Faro Sertage"]
publication_types = ["8"]
abstract = "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."
selected = false
publication = "*US Patent App. US18/463240*"
tags = ["design", "artificial neural network", "neural network model", "reinforcement learning", "quantu, hardware"]
url_pdf = "https://ppubs.uspto.gov/pubwebapp/authorize.html?redirect=print/pdfRedirectDownload/20250005368"
url_source = "https://patentcenter.uspto.gov/applications/18463240"
+++