Jakub Adamski
ABSTRACT
Classical simulations are essential for the development of quantum computing, and their exponential scaling can easily fill any modern supercomputer. In this paper we consider the performance and energy consumption of large Quantum Fourier Transform (QFT) simulations run on ARCHER2, the UK’s National Supercomputing Service, with QuEST toolkit. We take into account CPU clock frequency and node memory size, and use cache-blocking to rearrange the circuit, which minimises communications. We find that using 2.00 GHz instead of 2.25 GHz can save as much as 25% of energy at 5% increase in runtime. Higher node memory also has the potential to be more efficient, and cost the user fewer CUs, but at higher runtime penalty. Finally, we present a cache-blocking QFT circuit, which halves the required communication. All our optimisations combined result in 40% faster simulations and 35% energy savings in 44 qubit simulations on 4,096 ARCHER2 nodes.
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Digital Library
- Frank Arute 2019. Quantum supremacy using a programmable superconducting processor. Nature 574, 7779 (01 Oct 2019), 505–510. https://doi.org/10.1038/s41586-019-1666-5Google ScholarCross Ref
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- Thomas Lubinski, Cassandra Granade, Amos Anderson, Alan Geller, Martin Roetteler, Andrei Petrenko, and Bettina Heim. 2022. Advancing hybrid quantum–classical computation with real-time execution. Frontiers in Physics 10 (2022). https://doi.org/10.3389/fphy.2022.940293Google ScholarCross Ref
- Feng Pan and Pan Zhang. 2022. Simulation of Quantum Circuits Using the Big-Batch Tensor Network Method. Physical Review Letters 128 (1 2022), 030501. Issue 3. https://doi.org/10.1103/PhysRevLett.128.030501Google ScholarCross Ref
Index Terms
- Energy Efficiency of Quantum Statevector Simulation at Scale
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