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Quantum circuit cutting has emerged as a promising method for simulatinglarge quantum circuits using a collection of small quantum machines. Runninglow-qubit "circuit fragments" not only overcomes the size limitation ofnear-term hardware, but it also increases the fidelity of the simulation.However, reconstructing measurement statistics requires computational resources- both classical and quantum - that grow exponentially with the number of cuts.In this manuscript, we introduce the concept of a golden cutting point, whichidentifies unnecessary basis components during reconstruction and avoidsrelated down-stream computation. We propose a hypothesis-testing scheme foridentifying golden cutting points, and provide robustness results in the caseof the test failing with low probability. Lastly, we demonstrate theapplicability of our method on Qiskit's Aer simulator and observe a reducedwall time from identifying and avoiding obsolete measurements.

Online Detection of Golden Circuit Cutting Points