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Quantum Adaptive Tensor

Jincheng Zhang

Published Sep 4, 2026• 0 citations
Publisher

Abstract

Quantum Adaptive Tensor is a novel approach to tensor computation that leverages the principles of quantum entanglement to achieve unprecedented accuracy and low latency in quantum computing. The core concept centers around the 'Quantum Adaptive Tensor' – a specialized tensor structure designed to exploit quantum entanglement for enhanced computational capabilities. This paper explores the fundamental principles behind this method, detailing the mechanism of entanglement-based computation, its advantages over classical approaches, and its potential to significantly advance the field of quantum computation. The research investigates the practical implications of this design, focusing on the achievable precision and latency characteristics when implemented on quantum hardware.

DOI
10.5281/zenodo.22290991

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