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RapunSL: Untangling Quantum Computing with Separation, Linear Combination and Mixing

Published: November 28, 2025 | arXiv ID: 2511.23472v1

By: Yusuke Matsushita , Kengo Hirata , Ryo Wakizaka and more

Potential Business Impact:

Makes quantum computers easier to understand.

Business Areas:
Quantum Computing Science and Engineering

Quantum Separation Logic (QSL) has been proposed as an effective tool to improve the scalability of deductive reasoning for quantum programs. In QSL, separation is interpreted as disentanglement, and the frame rule brings a notion of entanglement-local specification (one that only talks about the qubits entangled with those acted upon by the program). In this paper, we identify two notions of locality unique to the quantum domain, and we construct a novel quantum separation logic, RapunSL, which is able to soundly reduce reasoning about superposition states to reasoning about pure states (basis-locality), and reasoning about mixed states arising from measurement to reasoning about pure states (outcome-locality). To do so, we introduce two connectives, linear combination and mixing, which together with separation provide a dramatic improvement in the scalability of reasoning, as we demonstrate on a series of challenging case studies.

Country of Origin
🇬🇧 🇩🇪 🇯🇵 United Kingdom, Japan, Germany

Page Count
50 pages

Category
Computer Science:
Programming Languages