Quantum Computing Scalability Evaluation Patent Application
Summary
USPTO published patent application US20260099742A1 by inventor Paul Victor Klimov, disclosing systems and methods for evaluating quantum computing scalability. The application covers obtaining benchmark performance data for quantum system architectures, deriving scaling parameters through quantum scaling models, and determining scaling metrics at processor sizes beyond tested ranges to inform control actions for operational quantum systems.
What changed
USPTO published patent application US20260099742A1 disclosing methods for evaluating quantum computing system scalability. The application covers obtaining benchmark performance data across processor sizes, deriving quantum scaling models, and projecting performance metrics at larger processor configurations to determine operational control actions.
This is a routine patent application publication establishing a priority date and public disclosure record for the quantum computing scalability invention. The document does not impose compliance obligations, deadlines, or penalties on third parties. Potential applicants, researchers, and technology companies developing quantum systems may review the application to understand disclosed methods and assess potential freedom-to-operate considerations.
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Apr 18, 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.
Systems and Methods for Evaluating Scalability of Quantum Computing Systems
Application US20260099742A1 Kind: A1 Apr 09, 2026
Inventors
Paul Victor Klimov
Abstract
Systems and methods for evaluating the scalability of quantum systems are provided. In one example, a method may include obtaining benchmark performance data for a candidate quantum system architecture. The benchmark performance data may be descriptive of one or more performance characteristics of the candidate quantum system architecture for a plurality of processor sizes. The method may include obtaining one or more scaling parameters based on the benchmark performance data, including a quantum scaling model relating processor size of the candidate quantum system architecture to the one or more performance characteristics. The method may include determining one or more scaling metrics for the candidate quantum system architecture at a scaled processor size greater than the plurality of processor sizes by the quantum scaling model. The method may include determining one or more control actions for an operational quantum system based on the one or more scaling metrics.
CPC Classifications
G06N 10/20
Filing Date
2023-08-02
Application No.
18364305
Named provisions
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