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Title: High-performance computing with quantum processing units

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 func- tional 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 as- sumes they cannot. We find that the performance of both approaches is likely to depend on the quantum interconnect that serves to entangle multiple QPUs. As a result, 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.

Authors:
 [1];  [2];  [1];  [2]
  1. Univ. of Tennessee, Knoxville, TN (United States)
  2. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO); USDOE
OSTI Identifier:
1357960
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
ACM Journal on Emerging Technologies in Computing Systems
Additional Journal Information:
Journal Volume: 13; Journal Issue: 3; Journal ID: ISSN 1550-4832
Publisher:
Association for Computing Machinery
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; quantum computing; high performance computing; accelerator

Citation Formats

Britt, Keith A., Oak Ridge National Lab., Humble, Travis S., and Oak Ridge National Lab.. High-performance computing with quantum processing units. United States: N. p., 2017. Web. doi:10.1145/3007651.
Britt, Keith A., Oak Ridge National Lab., Humble, Travis S., & Oak Ridge National Lab.. High-performance computing with quantum processing units. United States. doi:10.1145/3007651.
Britt, Keith A., Oak Ridge National Lab., Humble, Travis S., and Oak Ridge National Lab.. Wed . "High-performance computing with quantum processing units". United States. doi:10.1145/3007651. https://www.osti.gov/servlets/purl/1357960.
@article{osti_1357960,
title = {High-performance computing with quantum processing units},
author = {Britt, Keith A. and Oak Ridge National Lab. and Humble, Travis S. and Oak Ridge National Lab.},
abstractNote = {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 func- tional 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 as- sumes they cannot. We find that the performance of both approaches is likely to depend on the quantum interconnect that serves to entangle multiple QPUs. As a result, 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.},
doi = {10.1145/3007651},
journal = {ACM Journal on Emerging Technologies in Computing Systems},
number = 3,
volume = 13,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
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Cited by: 3 works
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