Parallel Quantum State Analysis using Tensor Networks

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of tensor networks to parallel quantum state analysis. We present a novel technique for efficiently representing and analyzing quantum states, leveraging tensor networks to provide a framework for rapid exploration of high-dimensional spaces. The core mechanism involves transforming quantum states into tensors, enabling the application of tensor network algorithms to compute properties such as entanglement, correlations, and dynamics. The research demonstrates the potential of this approach to significantly accelerate computations involving quantum systems, offering a new pathway for understanding and analyzing complex quantum states.

DOI: 10.5281/zenodo.22197567

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