SupermarQ: A Scalable Quantum Benchmark Suite

SupermarQ: A Scalable Quantum Benchmark Suite
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DOI:
10.1109/hpca53966.2022.00050
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发表时间:
2022-02
期刊:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
影响因子:
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通讯作者:
T. Tomesh;P. Gokhale;V. Omole;Gokul Subramanian Ravi;Kaitlin N. Smith;Joshua Viszlai;Xin-Chuan Wu;Nikos Hardavellas;M. Martonosi;F. Chong
T. Tomesh;P. Gokhale;V. Omole;Gokul Subramanian Ravi;Kaitlin N. Smith;Joshua Viszlai;Xin-Chuan Wu;Nikos Hardavellas;M. Martonosi;F. Chong
中科院分区:
其他
文献类型:
--
作者:
T. Tomesh;P. Gokhale;V. Omole;Gokul Subramanian Ravi;Kaitlin N. Smith;Joshua Viszlai;Xin-Chuan Wu;Nikos Hardavellas;M. Martonosi;F. Chong

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量子计算机作为一种新的计算范式的出现伴随着对其预期革命性变化的范围和时间轴的猜测。虽然量子计算仍处于起步阶段,但用于实现量子计算的各种不同架构使得难以可靠地测量和比较性能。这个问题促使我们引入了SupermarQ,这是一个可扩展的、与硬件无关的量子基准测试套件,它使用应用程序级指标来衡量性能。SupermarQ是第一次尝试将经典基准测试方法系统地应用于量子领域。我们定义了一组特征向量来量化覆盖率,从各种领域中选择应用程序以确保该套件代表真实的工作负载,并从IBM、IonQ和AQT@LBNL平台收集基准测试结果。展望未来,我们设想量子基准测试将包括建立在开源基础上的大型跨社区工作,不断发展的基准测试套件。我们推出SupermarQ是朝着这个方向迈出的重要一步。
The emergence of quantum computers as a new computational paradigm has been accompanied by speculation concerning the scope and timeline of their anticipated revolutionary changes. While quantum computing is still in its infancy, the variety of different architectures used to implement quantum computations make it difficult to reliably measure and compare performance. This problem motivates our introduction of SupermarQ, a scalable, hardware-agnostic quantum benchmark suite which uses application-level metrics to measure performance. SupermarQ is the first attempt to systematically apply techniques from classical benchmarking methodology to the quantum domain. We define a set of feature vectors to quantify coverage, select applications from a variety of domains to ensure the suite is representative of real workloads, and collect benchmark results from the IBM, IonQ, and AQT@LBNL platforms. Looking forward, we envision that quantum benchmarking will encompass a large cross-community effort built on open source, constantly evolving benchmark suites. We introduce SupermarQ as an important step in this direction.