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Nvidia patents method using AI to fix noise in quantum data

Nvidia describes a system that uses a machine learning model to reverse errors caused by noise in quantum communication channels. The model predicts the original quantum state by simulating the inverse of the noisy channel, allowing a quantum computer to perform operations based on corrected data.

Why it mattersThis filing is interesting because it applies standard AI techniques to solve a specific hardware problem in quantum computing, which is still in its early stages of development.

In the filing’s own words

Systems and methods for implementing noisy quantum channel error mitigation are described. For example, a method can include providing to a machine learning model, input data indicative of an original quantum state of a quantum system that is modified by an amount of noise added by a non-unitary quantum communication channel. The machine learning model is trained to predict the original quantum state in order to perform error mitigation by simulating an inverse of the non-unitary quantum communication channel to reverse one or more errors caused by the non-unitary quantum communication channel. The method can further include obtaining, from the machine learning model, output data indicative of the original quantum state, and causing a quantum computing system to perform at least one quantum computing operation, involving at least one of error mitigation or quantum state preparation, based on the output data.

What exactly they claim (claim 1)

1. A system comprising: a memory; and at least one processing device, operatively coupled with the memory, to: provide, to a machine learning model, input data indicative of an original quantum state of a quantum system that is modified by an amount of noise added by a non-unitary quantum communication channel, wherein the machine learning model is trained to predict the original quantum state in order to perform error mitigation by simulating an inverse of the non-unitary quantum communication channel to reverse one or more errors caused by the non-unitary quantum communication channel; obtain, from the machine learning model, output data indicative of the original quantum state; and cause a quantum computing system to perform at least one quantum computing operation, involving at least one of error mitigation or quantum state preparation, based on the output data.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
NOISY QUANTUM CHANNEL ERROR MITIGATION
Publication number
US20260278451A1
Application number
19537882
Filed
Feb 12, 2026
Published
Sep 17, 2026
Inventors
3
Claims
20

Classified under

G06N 10/70 Physics & computing

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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.