Google patents AI method to fix errors in quantum computer parts
Google has filed a patent for a method that uses a deep neural network to predict how tiny defects affect quantum computer operations. The system trains this AI model using an evolutionary algorithm to better match the physical behavior of the quantum hardware.
In the filing’s own words
Example aspects of the present disclosure provide systems and methods to learn machine-learned model parameters for models of quantum computing systems. In particular, example aspects of the present disclosure are directed to systems and methods to learn a deep neural network configured to predict parameter values for a physical model that models quantum dynamics of interactions between one or more qubits of a quantum gate and one or more two-level-system (TLS) defects during operation of the quantum gate through use of an evolutionary algorithm.
What exactly they claim (claim 1)
1. A computer-implemented method for training a machine-learned parameter value prediction model configured to predict parameter values for parameters of a physical model of a quantum computing system, comprising: obtaining, by a computing system comprising one or more classical processors, a set of experimental data descriptive of a performance of the quantum computing system; obtaining, by the computing system, an output of the physical model based at least in part on a set of experimental inputs; determining, by the computing system, a comparison of the output of the physical model to the data descriptive of the performance of the quantum computing system; training, by the computing system, one or more parameters of the machine-learned parameter value prediction model using an evolutionary algorithm based at least in part on the comparison.
Facts
- Company
- Google (Google LLC)
- Official title
- Systems and Methods to Learn Two-Level System Defects in Quantum Systems
- Publication number
- US20260289366A1
- Application number
- 19668297
- Filed
- May 5, 2026
- Published
- Sep 24, 2026
- Inventors
- 4
- Claims
- 1
Classified under
G06N 10/20 Physics & computingG06F 18/214 Physics & computingG06N 3/08 Physics & computingH10N 60/805 Electricity & electronicsMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.