QOPS: A Compiler Framework for Quantum Circuit Simulation Acceleration with Profile Guided Optimizations

TL;DR

This paper introduces QOPS, a quantum compiler framework that uses profile-guided optimizations to accelerate quantum circuit simulations, significantly reducing simulation time and improving efficiency.

Contribution

QOPS is the first to apply profile-guided optimization techniques to quantum circuit simulation, enabling automatic performance improvements based on collected profiling data.

Findings

Simulator-specific PGO accelerates simulation by 1.19x.

Hardware-independent PGO achieves 16% speedup with 63x less compilation time.

PGO outperforms brute force optimization in quantum circuit simulation.

Abstract

Quantum circuit simulation is important in the evolution of quantum software and hardware. Novel algorithms can be developed and evaluated by performing quantum circuit simulations on classical computers before physical quantum computers are available. Unfortunately, compared with a physical quantum computer, a prolonged simulation time hampers the rapid development of quantum algorithms. Inspired by the feedback-directed optimization scheme used by classical compilers to improve the generated code, this work proposes a quantum compiler framework QOPS to enable profile-guided optimization (PGO) for quantum circuit simulation acceleration. The QOPS compiler instruments a quantum simulator to collect performance data during the circuit simulation and it then generates the optimized version of the quantum circuit based on the collected data. Experimental results show the PGO can effectively shorten the simulation time on our tested benchmark programs. Especially, the simulator-specific PGO (virtual swap) can be applied to the benchmarks to accelerate the simulation speed by a factor of 1.19. As for the hardware-independent PGO, compared with the brute force mechanism (turning on all available compilation flags), which achieves 21% performance improvement against the non-optimized version, the PGO can achieve 16% speedup with a factor of 63 less compilation time than the brute force approach.