Machine learning assisted qubit state readout

US12204994B2 · kind B2 · utility

Assignees

• RTX BBN TECHNOLOGIES, INC. · US
• Massachusetts Institute of Technology · US

Inventors

• Benjamin Lienhard · Somerville, US
• William D. Oliver · Arlington, US
• Simon Gustavsson · Cambridge, US
• Antti Pekka Vepsalainen · Malden, US
• Terry Philip Orlando · Norton, US
• Luke Colin Gene Govia · Somerville, US
• Hari Kiran Krovi · Lexington, US
• Thomas A. Ohki · Arlington, US

Key dates

• Filing date: Sep 18, 2020
• Grant date: Jan 21, 2025
• Expiry date: Feb 7, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N10/70
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Techniques for machine learning assisted qubit state readout are disclosed. A system a set of training data that describes states of multiple qubits, and trains a neural network to determine qubit states based on the set of training data. The system obtains one or more unlabeled qubit signals, and determines one or more states corresponding to the unlabeled qubit signal(s), using the neural network. The unlabeled qubit signal(s) may include one or more multiplexed qubit signals, and the state(s) corresponding to the unlabeled qubit signal(s) may include one or more multi-qubit states based on the multiplexed qubit signal(s).