Quantum State Superposition-Based Hardware Acceleration for Computation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper proposes a novel hardware acceleration architecture for computation leveraging the principles of quantum state superposition. Traditional computing paradigms rely heavily on sequential processing, often struggling with the computational demands of large-scale parallel problems. We introduce a quantum bit array-based system designed to exploit superposition, enabling the simultaneous execution of multiple computational tasks. The core concept involves constructing an array of interconnected quantum bits (qubits) where each qubit can exist in a superposition of states. This allows for parallel processing of data, significantly enhancing computational speed and efficiency. We detail the theoretical framework, outlining the key mathematical relationships and operational principles. The architecture's potential for accelerating specific algorithms and the associated performance gains are discussed. This research aims to provide a foundational approach for developing future quantum computing hardware, particularly focusing on harnessing the power of quantum superposition.

DOI: 10.5281/zenodo.22273537

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