Hybrid Path-Sums for Hybrid Quantum Programs

2026-04-27

AI Summary

Existing approaches struggle to automate formal verification of hybrid quantum-classical programs due to the absence of a unified model capturing mixed control flow, measurement operations, and classical data structures. This work proposes the first framework enabling automated verification of such programs, centered on a novel symbolic representation called “Hybrid Path-Sums.” We develop a corresponding rewrite system and an assertion language to precisely characterize and reason about hybrid program states. Leveraging symbolic execution and probabilistic semantic extraction, we implement a dedicated verification engine and demonstrate its correctness and substantially improved efficiency over existing methods across several representative hybrid quantum-classical programs.

Technology Category

• Reasoning under Uncertainty: Probabilistic Programming
• Machine Learning: Quantum Machine Learning
• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Search and Retrieval-Augmented AI: Web query analysis, representation and understanding
• Security and Privacy: Data transparency and provenance

Abstract

As quantum computing becomes an emerging reality, designing efficient quantum programming capabilities is becoming more and more important. Particularly, the debugging and validation of quantum programs is of paramount importance, as these programs are by definition hard to test. Static analysis and formal verification methods for quantum programs started to emerge a few years now, yet they often miss hybrid quantum/classical reasoning facilities with, e.g., generic quantum control, classical control and classical computation instructions. In this paper, we lay out the foundations of a framework for the automated formal verification of (full) hybrid quantum programs featuring both classical and quantum control, measurement and hybrid data structures. In particular, we propose: (1) a novel symbolic representation for describing and manipulating sets of hybrid quantum/classical states called Hybrid Path-Sums (HPS); (2) a set of rewriting rules providing a rich mechanism for simplifying and reasoning on these symbolic hybrid states, and (3) a core assertion language to specify equivalence of hybrid quantum programs, the satisfaction of properties on (parts of) hybrid states, and the extraction of probabilistic statements about the program behavior. We prove the correctness of the novel symbolic representation, of its rewriting system and of the specification system. Finally, we propose a full implementation of this framework as a dedicated symbolic execution engine for hybrid programs. We present an evaluation of a set of representative hybrid case-studies from the literature, showcasing the advantage of our approach and its efficiency compared to state-of-the-art solutions.

Problem

• hybrid quantum programs
• formal verification
• quantum control
• classical control
• symbolic representation

Innovation

• Hybrid Path-Sums
• symbolic representation
• formal verification
• quantum-classical programs
• rewriting rules