Modular Logic for Parallel Quantum Computing
Jincheng Zhang
Abstract
This paper investigates the potential of modular logic to revolutionize parallel quantum computing, addressing the challenges of scalability and fault tolerance. We propose a novel system leveraging formal language and reasoning to design and orchestrate quantum computations, promoting independent and verifiable execution of computational modules within a quantum circuit. The core mechanism centers around a language that explicitly defines the logical relationships between modules, enabling automated circuit design and optimization. This approach seeks to overcome the limitations of traditional quantum programming by enhancing expressiveness, simplifying verification, and facilitating a more robust and scalable approach to quantum computation. The paper details the proposed system, its reasoning framework, and preliminary results demonstrating improvements in circuit design and verification.