Hardware Acceleration Algorithms Based on Quantum Demixing

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper investigates the potential of leveraging quantum demixing, specifically the phenomenon of quantum decoherence, to accelerate computational tasks. The core idea is to design a hardware acceleration algorithm that exploits controlled interactions between qubits to maximize decoherence time, thereby enhancing both the accuracy and efficiency of the computation. We explore the theoretical underpinnings of this approach, focusing on the design principles for a quantum hardware accelerator. The presented framework provides a foundation for future research into developing practical quantum algorithms that harness the power of decoherence for computational speedup. The algorithm is presented as a modular design allowing for flexibility in implementation and adaptation to diverse computational problems. The key focus lies on the control parameters and their impact on the overall performance.

DOI: 10.5281/zenodo.22157899

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