Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse

• URL: http://arxiv.org/abs/2203.13892v2
• Date: Mon, 19 May 2025 17:08:45 GMT
• Title: Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
• Authors: Meng Wang, Swamit Tannu, Prashant J. Nair,
• Abstract summary: noisy simulation technique called Tree-Based Quantum Circuit Simulation (TQSim)<n>TQSim exploits the reusability of intermediate results during the noisy simulation, reducing computation.<n>Compared to a noisy Qulacs-based baseline simulator, TQSim achieves a speedup of up to 3.89x for noisy simulations.
• Score: 9.859256459288517
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum programs on high-performance computing (HPC) systems with different noise models is a de facto tool researchers use. Unfortunately, noisy simulators iteratively execute a similar circuit for thousands of trials, thereby incurring significant performance overheads. To address this, we propose a noisy simulation technique called Tree-Based Quantum Circuit Simulation (TQSim). TQSim exploits the reusability of intermediate results during the noisy simulation, reducing computation. TQSim dynamically partitions a circuit into several subcircuits. It then reuses the intermediate results from these subcircuits during computation. Compared to a noisy Qulacs-based baseline simulator, TQSim achieves a speedup of up to 3.89x for noisy simulations. TQSim is designed to be efficient with multi-node setups while also maintaining tight fidelity bounds.

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