Cutting circuits with multiple two-qubit unitaries

Lukas Schmitt1,2, Christophe Piveteau1, and David Sutter2

1Institute for Theoretical Physics, ETH ZurichIBM Quantum
2IBM Research Europe – Zurich

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Abstract

Quasiprobabilistic cutting techniques allow us to partition large quantum circuits into smaller subcircuits by replacing non-local gates with probabilistic mixtures of local gates. The cost of this method is a sampling overhead that scales exponentially in the number of cuts. It is crucial to determine the minimal cost for gate cutting and to understand whether allowing for classical communication between subcircuits can improve the sampling overhead. In this work, we derive a closed formula for the optimal sampling overhead for cutting an arbitrary number of two-qubit unitaries and provide the corresponding decomposition. We find that cutting several arbitrary two-qubit unitaries together is cheaper than cutting them individually and classical communication does not give any advantage.

Suppose we want to run a circuit consisting of 1,000 qubits, but we only have 200-qubit devices available. The theory of circuit cutting allows us to partition large quantum circuits into smaller subcircuits. By performing appropriate classical post-processing, the expectation value of the original large circuit can be retrieved. The cost is a simulation overhead that scales exponentially with the number of cut gates. In this work, we derive the optimal sampling overhead for arbitrary two-qubit gates.

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The above citations are from Crossref's cited-by service (last updated successfully 2026-08-09 21:02:24) and SAO/NASA ADS (last updated successfully 2026-08-09 21:02:26). The list may be incomplete as not all publishers provide suitable and complete citation data.