Quantum Circuit Simulation Using Tensor Networks Patent Application

← USPTO Patent Applications

SYSTEMS AND METHODS FOR QUANTUM CIRCUIT SIMULATION USING TENSOR NETWORKS

Application US20260099752A1 Kind: A1 Apr 09, 2026

Inventors

Mekena Metcalf

Abstract

Embodiments of the present disclosure provide functionality to tensor network framework designed for quantum kernel methods and demonstration of tensor network effectiveness at scaling this application. Quantum kernels capture the distance between data points in quantum feature space by evaluating the quantum state overlaps associated with each data point. It has been found that expressing data in quantum feature space may produce more separable data that improves the results of linear classifiers. The different kernel elements may be computed independently, and parallel processing may be exploited to significantly reduce computational time, enabling to train on more data. Thus, quantum kernels continue to improve classification metrics with the addition of more training data and more features.

CPC Classifications

G06N 10/60 G06N 10/20

Filing Date

2024-10-03

Application No.

18905152

View original document →