Non-Von Neumann Architectures for Quantum Computing Hardware
Jincheng Zhang
Abstract
This paper proposes a novel approach to quantum computing hardware that diverges from the traditional Von Neumann architecture. The core argument centers around leveraging quantum entanglement and superposition for inherent parallel computation, addressing limitations inherent in the conventional model. We introduce a heterogeneous quantum computing architecture built upon quantum bits (qubits) and quantum circuits, designed to facilitate data processing and control through orchestrated quantum operations. The fundamental innovation lies in moving away from the sequential processing paradigm dictated by Von Neumann architecture, offering a potentially more efficient hardware platform for quantum computations. This architecture aims to unlock significant computational speedups by exploiting the quantum mechanical properties of superposition and entanglement, moving beyond the constraints of classical bit manipulation. The design incorporates a novel control system and qubit connectivity model to maximize computational parallelism. This research contributes to the exploration of alternative hardware designs critical for the advancement of scalable and performant quantum computing systems.