Documents

  • p813-fu

    Final published version, 3.07 MB, PDF document

DOI

Quantum computers promise to solve certain problems that are intractable for classical computers, such as factoring large numbers and simulating quantum systems. To date, research in quantum computer engineering has focused primarily at opposite ends of the required system stack: devising high-level programming languages and compilers to describe and optimize quantum algorithms, and building reliable low-level quantum hardware. Relatively little attention has been given to using the compiler output to fully control the operations on experimental quantum processors. Bridging this gap, we propose and build a prototype of a flexible control microarchitecture supporting quantum-classical mixed code for a superconducting quantum processor. The microarchitecture is based on three core elements: (i) a codeword-based event control scheme, (ii) queue-based precise event timing control, and (iii) a flexible multilevel instruction decoding mechanism for control. We design a set of quantum microinstructions that allows flexible control of quantum operations with precise timing. We demonstrate the microarchitecture and microinstruction set by performing a standard gate-characterization experiment on a transmon qubit.

Original languageEnglish
Title of host publicationMICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings
PublisherIEEE
Pages813-825
Number of pages13
VolumePart F131207
ISBN (Electronic)9781450349529
DOIs
Publication statusPublished - 14 Oct 2017
Event50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017 - Cambridge, United States
Duration: 14 Oct 201718 Oct 2017

Conference

Conference50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017
CountryUnited States
CityCambridge
Period14/10/1718/10/17

    Research areas

  • Quantum (micro-) architecture, Quantum instruction set architecture (QISA), QuMA, QuMIS, Superconducting quantum processor, OA-Fund TU Delft

ID: 34684225