Scalable Full-Stack Benchmarks for Quantum Computers

• URL: http://arxiv.org/abs/2312.14107v1
• Date: Thu, 21 Dec 2023 18:31:42 GMT
• Title: Scalable Full-Stack Benchmarks for Quantum Computers
• Authors: Jordan Hines, Timothy Proctor
• Abstract summary: We introduce a technique for creating efficient benchmarks from any set of quantum computations. Our benchmarks assess the integrated performance of a quantum processor's classical compilation algorithms.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum processors are now able to run quantum circuits that are infeasible to simulate classically, creating a need for benchmarks that assess a quantum processor's rate of errors when running these circuits. Here, we introduce a general technique for creating efficient benchmarks from any set of quantum computations, specified by unitary circuits. Our benchmarks assess the integrated performance of a quantum processor's classical compilation algorithms and its low-level quantum operations. Unlike existing "full-stack benchmarks", our benchmarks do not require classical simulations of quantum circuits, and they use only efficient classical computations. We use our method to create randomized circuit benchmarks, including a computationally efficient version of the quantum volume benchmark, and an algorithm-based benchmark that uses Hamiltonian simulation circuits. We perform these benchmarks on IBM Q devices and in simulations, and we compare their results to the results of existing benchmarking methods.

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