High-Performance Computing with Quantum Processing Units

Author:

Britt Keith A.1,Humble Travis S.2

Affiliation:

1. University of Tennessee and Oak Ridge National Laboratory, Oak Ridge, TN

2. Oak Ridge National Laboratory and University of Tennessee, Oak Ridge, TN

Abstract

The prospects of quantum computing have driven efforts to realize fully functional quantum processing units (QPUs). Recent success in developing proof-of-principle QPUs has prompted the question of how to integrate these emerging processors into modern high-performance computing (HPC) systems. We examine how QPUs can be integrated into current and future HPC system architectures by accounting for functional and physical design requirements. We identify two integration pathways that are differentiated by infrastructure constraints on the QPU and the use cases expected for the HPC system. This includes a tight integration that assumes infrastructure bottlenecks can be overcome as well as a loose integration that assumes they cannot. We find that the performance of both approaches is likely to depend on the quantum interconnect that serves to entangle multiple QPUs. We also identify several challenges in assessing QPU performance for HPC, and we consider new metrics that capture the interplay between system architecture and the quantum parallelism underlying computational performance.

Funder

UT-Battelle, LLC

U.S. Department of Energy

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Reference35 articles.

1. Ali Javadi Abhari Arvin Faruque Mohammad Javad Dousti Lukas Svec Oana Catu Amlan Chakrabati Chen-Fu Chiang Seth Vanderwilt John Black Fred Chong Margaret Martonosi Martin Suchara andKen Brown Massoud Pedram and Todd Brun. 2012. Scaffold: Quantum Programming Language. Technical Report. Retrieved from ftp://ftp.cs.princeton.edu/techreports/2012/934.pdf Ali Javadi Abhari Arvin Faruque Mohammad Javad Dousti Lukas Svec Oana Catu Amlan Chakrabati Chen-Fu Chiang Seth Vanderwilt John Black Fred Chong Margaret Martonosi Martin Suchara andKen Brown Massoud Pedram and Todd Brun. 2012. Scaffold: Quantum Programming Language. Technical Report. Retrieved from ftp://ftp.cs.princeton.edu/techreports/2012/934.pdf

2. Simulation of Many-Body Fermi Systems on a Universal Quantum Computer

3. Hybrid quantum-classical approach to correlated materials;Bauer Bela;Phys. Rev.,2016

4. Universal Blind Quantum Computation

5. Jacques Carolan Christopher Harrold Chris Sparrow Enrique Martn-Lpez Nicholas J. Russell Joshua W. Silverstone Peter J. Shadbolt Nobuyuki Matsuda Manabu Oguma Mikitaka Itoh Graham D. Marshall Mark G. Thompson Jonathan C. F. Matthews Toshikazu Hashimoto Jeremy L. OBrien and Anthony Laing. 2015. Universal linear optics. Science 349 6249 (2015) 711--716. Jacques Carolan Christopher Harrold Chris Sparrow Enrique Martn-Lpez Nicholas J. Russell Joshua W. Silverstone Peter J. Shadbolt Nobuyuki Matsuda Manabu Oguma Mikitaka Itoh Graham D. Marshall Mark G. Thompson Jonathan C. F. Matthews Toshikazu Hashimoto Jeremy L. OBrien and Anthony Laing. 2015. Universal linear optics. Science 349 6249 (2015) 711--716.

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