



02524nas a2200193   4500008004100000245007700041210006900118260001400187520188800201653004302089653002702132653003102159653003302190100001602223700001602239700001902255700001902274856003702293       2022                        eng d00aArline Benchmarks: Automated Benchmarking Platform for Quantum Compilers0 aArline Benchmarks Automated Benchmarking Platform for Quantum Co  c3/28/20223 a<p>Efficient compilation of quantum algorithms is vital in the era of Noisy Intermediate-Scale Quantum (NISQ) devices. While multiple open-source quantum compilation and circuit optimization frameworks are available, e.g. IBM Qiskit, CQC Tket, Google Cirq, Rigetti Quilc, PyZX, their relative performance is not always clear to a quantum programmer. The growth of complexity and diversity of quantum circuit compilation algorithms creates a demand for a dedicated tool for cross-benchmarking and profiling of inner workflow of the quantum compilation stack. We present an open-source software package, Arline Benchmarks, that is designed to perform automated benchmarking of quantum compilers with the focus on NISQ applications. The name &quot;Arline&quot; was given in honour of Arline Greenbaum Feynman, the first wife of Richard Feynman, the pioneer of quantum computing. We compared several quantum compilation frameworks based on a set of important metrics such as post-optimization gate counts, circuit depth, hardware-dependent circuit cost function, compiler run time etc. with a detailed analysis of metrics for each compilation stage. We performed a variety of compiler tests for random circuits and structured quantum algorithms (VQE, Trotter decomposition, Grover search, Option Pricing via Amplitude Estimation) for several popular quantum hardware architectures. Leveraging cross-platform functionality of Arline, we propose a concept of composite compilation pipeline that combines compiler-specific circuit optimization subroutines in a single compilation stack and finds an optimized sequence of compilation passes. By providing detailed insights into the compilation flow of quantum compilers, Arline Benchmarks offers a valuable toolkit for quantum computing researchers and software developers to gain additional insights into compilers&#39; characteristics.</p>10aFOS: Computer and information sciences10aFOS: Physical sciences10aQuantum Physics (quant-ph)10aSoftware Engineering (cs.SE)1 aKharkov, Y.1 aIvanova, A.1 aMikhantiev, E.1 aKotelnikov, A.  uhttps://arxiv.org/abs/2202.14025