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Quantum computers can speed up computationally hard problems. However, torealize their full potential, we must mitigate qubit errors (from noise) bydeveloping noise-aware algorithms, compilers, and architectures. Thus,simulating quantum programs on classical computers with different noise modelsis a de-facto tool that is used by researchers and practitioners.Unfortunately, noisy quantum simulators iteratively execute the same circuitacross multiple trials (shots), thereby incurring high-performance overheads.To address this, we propose a noisy simulation technique called Tree-BasedQuantum Circuit Simulation (TQSim). TQSim exploits the reusability of theintermediate results during the noisy simulation and reduces computation. TQSimdynamically partitions a circuit into several subcircuits. It then reuses theintermediate results from these subcircuits during computation. As compared toa noisy Qulacs-based baseline simulator, TQSim achieves an average speedup of2.51x across 48 different benchmark circuits. Additionally, across benchmarks,TQSim produces results with a normalized fidelity that is within the 0.016range of the baseline normalized fidelity.

TQSim: A Case for Reuse-Focused Tree-Based Quantum Circuit Simulation