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Author

Chenke Liu

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Preprint Aug 2026

Quantum Uncomputation of Clean and Dirty Ancilla Qubits

Automatic uncomputation aims to provide programming-language-level support to facilitate the correct and safe use of ancilla qubits in quantum computing, but efforts have only been made for clean ancillas, leaving dirty ancillas unexplored. We present a unified formalization of the uncomputation of both clean and dirty ancillas. For the first time, we prove that checking the existence of uncomputation is coNP-hard. We introduce two complementary synthesis-oriented existence-checking methods: a rewrite-based normalization algorithm (RwUn) and a template-based reasoning system (TpUn) that guarantees uncomputation through structured Store-Use patterns. We implement prototypes of both methods in Qiskit and Python. Compared to the state-of-the-art Reqomp~\cite{reqomp}, RwUn achieves 100% coverage on practical complex-dependency benchmarks, twice the coverage on random classical circuits, and about 50% coverage on random quantum circuits beyond the scope of existing methods, demonstrating broader applicability.

Chenke Liu, Li Zhou, Boning Meng · 0 citations
Preprint Aug 2026

Bona: Automatic Management of Dirty Ancilla Borrowing in Quantum Circuits

Bona is presented, the first scheduler for dirty-qubit borrowing, built on a novel depth-aware heuristic algorithm, and it reduces nearly 99% of dirty ancillas on average with controlled depth overhead, providing concrete evidence that dirty ancillas offer unique optimization advantages in circuits with certain parallelism.

Xiaoquan Xu, Chenke Liu, Boning Meng et al. · 0 citations