Year: 2020
Type: article
Abstract: 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.
Source: Proceedings of the IEEE
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: PFCQC: STAQ: Software-Tailored Architecture for Quantum co-design, ADVANCING INTEGRATED DEVELOPMENT ENVIRONMENTS FOR QUANTUM COMPUTING THROUGH FUNDAMENTAL RESEARCH (AIDE-QC), TOUGH ERRORS ARE NO MATCH (TEAM): OPTIMIZING THE QUANTUM COMPILER FOR NOISE RESILIENCE, Collaborative Research: EPiQC: Enabling Practical-Scale Quantum Computation, Collaborative Research: EPiQC: Enabling Practical-Scale Quantum Computation, Collaborative Research: EPiQC: Enabling Practical-Scale Quantum Computation
OpenAlex ID: W3035175167