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Systems and Methods for Sampling-Based Krylov Quantum Diagonalization

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Published April 2nd, 2026
Detected April 3rd, 2026
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Summary

The USPTO published patent application US20260094034A1 for sampling-based Krylov quantum diagonalization systems and methods, filed by 9 inventors including Kunal Sharma, Minh Tran, and Antonio Mezzacapo. The invention enables quantum devices to prepare Krylov basis states, sample them classically, and diagonalize Hamiltonians to approximate ground state energy. This A1 publication makes the application publicly available but does not grant patent rights.

What changed

The USPTO published a patent application disclosing systems and methods for sampling-based Krylov quantum diagonalization. The invention comprises a reference component for selecting reference states and applying time evolution with respect to a Hamiltonian, a base component for preparing Krylov basis states and obtaining samples, and a representation component for classically representing the Hamiltonian in a subspace to diagonalize and approximate ground state energy. The application was filed on September 19, 2024, under application number 18889494, classified under CPC G06N 10/20.

Patent applications do not impose compliance obligations on regulated entities. Technology companies and researchers in quantum computing may review the publication to understand disclosed methods or assess potential prior art. No action is required for compliance purposes; this is an informational publication of a pending application that has not yet been examined or granted.

Source document (simplified)

← USPTO Patent Applications

SYSTEMS AND METHODS FOR SAMPLING-BASED KRYLOV QUANTUM DIAGONALIZATION

Application US20260094034A1 Kind: A1 Apr 02, 2026

Inventors

Kunal Sharma, Minh Tran, Javier Robledo Moreno, Antonio Mezzacapo, William Kirby, Petar Jurcevic, Jeffery Yu, Joseph Iosue

Abstract

A system includes a processor that executes computer executable components stored in a memory. The computer executable components can comprise can comprise a reference component that selects reference state and applies time evolution with respect to a Hamiltonian for different times to prepare Krylov basis states on a quantum device; a base component that prepares the Krylov basis states to obtain a fixed number of samples by sampling from the prepared basis states to classically represent the original Hamiltonian; and a representation component that classically represents the original Hamiltonian in subspace generated by the fixed number of samples to diagonalize the Hamiltonian in a bitstring subspace to obtain an approximation of ground state energy of the original Hamiltonian.

CPC Classifications

G06N 10/20

Filing Date

2024-09-19

Application No.

18889494

View original document →

Classification

Agency
USPTO
Published
April 2nd, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Draft
Change scope
Minor
Document ID
US20260094034A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Geographic scope
United States US

Taxonomy

Primary area
Artificial Intelligence
Operational domain
Compliance

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