Neural Network Quantum Error Correction Decoding Method and Apparatus
Summary
USPTO published patent application US20260099754A1 by Tencent Technology (Shenzhen) on April 9, 2026. The application covers neural network-based methods for quantum error correction decoding, including error syndrome acquisition, feature extraction via neural network decoder, and error result determination for quantum circuits.
What changed
USPTO published patent application US20260099754A1 disclosing neural network-based quantum error correction decoding methods. The technology relates to acquiring error syndrome information from quantum circuit syndrome measurements, extracting feature information using a neural network decoder, decoding to obtain results, and determining error information. The application claims priority to Chinese filing 18925709 from October 2024.
Technology companies and research institutions developing quantum computing hardware, quantum error correction systems, or AI-based decoding technologies should monitor this application for competitive patent intelligence. While the application is pending and claims have not yet been granted, the disclosed methods in the neural network-quantum computing intersection represent an emerging technology area where patent activity is increasing.
What to do next
- Review for prior art if developing similar AI-quantum error correction technologies
- Assess patent landscape impact on quantum computing research programs
- Monitor for patent prosecution updates and potential claims
Archived snapshot
Apr 10, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Neural Network-Based Quantum Error Correction Decoding Method and Apparatus, Device, and Chip
Application US20260099754A1 Kind: A1 Apr 09, 2026
Assignee
TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Inventors
Yicong ZHENG
Abstract
The present disclosure describes neural network-based quantum error correction decoding methods and apparatus, a device, and a chip, relating to the field of artificial intelligence and quantum technologies. One method includes: acquiring error syndrome information obtained from syndrome measurement performed on a quantum circuit; extracting feature information from the error syndrome information by using a neural network decoder; decoding the feature information to obtain a decoding result by using the neural network decoder; and determining error result information of the quantum circuit based on the decoding result.
CPC Classifications
G06N 10/70 G06N 10/20 G06N 10/60
Filing Date
2024-10-24
Application No.
18925709
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