Resource-Efficient Quantum Computing by Breaking Abstractions

Journal Article (Journal Article)

Building a quantum computer that surpasses the computational power of its classical counterpart is a great engineering challenge. Quantum software optimizations can provide an accelerated pathway to the first generation of quantum computing (QC) applications that might save years of engineering effort. Current quantum software stacks follow a layered approach similar to the stack of classical computers, which was designed to manage the complexity. In this review, we point out that greater efficiency of QC systems can be achieved by breaking the abstractions between these layers. We review several works along this line, including two hardware-aware compilation optimizations that break the quantum instruction set architecture (ISA) abstraction and two error-correction/information-processing schemes that break the qubit abstraction. Last, we discuss several possible future directions.

Full Text

Duke Authors

Cited Authors

  • Shi, Y; Gokhale, P; Murali, P; Baker, JM; Duckering, C; Ding, Y; Brown, NC; Chamberland, C; Javadi-Abhari, A; Cross, AW; Schuster, DI; Brown, KR; Martonosi, M; Chong, FT

Published Date

  • August 1, 2020

Published In

Volume / Issue

  • 108 / 8

Start / End Page

  • 1353 - 1370

Electronic International Standard Serial Number (EISSN)

  • 1558-2256

International Standard Serial Number (ISSN)

  • 0018-9219

Digital Object Identifier (DOI)

  • 10.1109/JPROC.2020.2994765

Citation Source

  • Scopus