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A Novel Computation Architecture Based on Quantum Coherence

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

This paper proposes a novel computation architecture centered around the exploitation of quantum coherence. The core concept involves structuring a computational system to leverage the inherent parallelism afforded by quantum coherence, thereby aiming to significantly enhance computational efficiency compared to traditional architectures. We outline a framework where interconnected quantum systems operate in a manner that maximizes the duration of quantum coherence, allowing for parallel processing of multiple computational tasks simultaneously. The architecture is designed to mitigate decoherence effects, a primary challenge in quantum computing, through strategic system design and operational protocols. This approach represents a fundamentally new paradigm in computation, shifting from sequential, deterministic operations to a massively parallel, probabilistic one based on the quantum mechanical principles of superposition and coherence. The potential impact of this architecture extends across various fields, including scientific simulations, optimization problems, and machine learning, where the ability to process vast amounts of data concurrently offers a transformative advantage. ---

DOI
10.5281/zenodo.22573950

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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.