Temporal Logic for Quantum State Evolution
Jincheng Zhang
Abstract
This paper introduces a novel approach to quantum state evolution by leveraging temporal logic formalisms. The core idea is to directly represent and reason about quantum state transitions, incorporating the inherent uncertainties of non-deterministic branching and measurement outcomes. We propose a new temporal logic variant, Temporal Probabilistic Logic (TPL), where quantum state transitions are defined as logical rules and measurement collapses are modeled as probabilistic branches within the temporal reasoning process. This purely logical framework contrasts with traditional numerical simulation methods used in quantum control theory, offering potential advantages in automated proof of correctness, algorithm design, and optimization. TPL allows for the formal specification of quantum protocols and the verification of their behavior without relying on computationally intensive simulations. The paper outlines the key components of TPL, including its syntax, semantics, and operational rules, and explores its application to a simplified quantum algorithm. The presented framework provides a foundation for developing a more robust and verifiable approach to quantum computation.