QUANTIFY: A framework for resource analysis and design verification of quantum circuits

Oumarou Oumarou, Alexandru Paler, Robert Basmadjian

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

Quantum resource analysis is crucial for designing quantum circuits as well as assessing the viability of arbitrary (error-corrected) quantum computations. To this end, we introduce QUANTIFY, which is an open-source framework for the quantitative analysis of quantum circuits. It is based on Google Cirq and is developed with Clifford+T circuits in mind, and it includes the necessary methods to handle Toffoli+H and more generalised controlled quantum gates, too. Key features of QUANTIFY include: (1) analysis and optimisation methods which are compatible with the surface code, (2) choice between different automated (mixed polarity) Toffoli gate decompositions, (3) semi-automatic quantum circuit rewriting and quantum gate insertion methods that take into account known gate commutation rules, and (4) novel optimiser types that can be combined with different verification methods (e.g. truth table or circuit invariants like number of wires). For benchmarking purposes QUANTIFY includes quantum memory and quantum arithmetic circuits. Experimental results show that the framework's performance scales to circuits with thousands of qubits.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020
PublisherIEEE
Pages126-131
Number of pages6
ISBN (Electronic)9781728157757
ISBN (Print)9781728157764
DOIs
Publication statusPublished - Aug 2020
MoE publication typeA4 Article in a conference publication
EventIEEE Computer Society Annual Symposium on VLSI - Limassol, Cyprus
Duration: 6 Jul 20208 Jul 2020
Conference number: 19
http://www.eng.ucy.ac.cy/theocharides/isvlsi20/index.html

Publication series

NameProceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume2020-July
ISSN (Print)2159-3469
ISSN (Electronic)2159-3477

Conference

ConferenceIEEE Computer Society Annual Symposium on VLSI
Abbreviated titleISVLSI
Country/TerritoryCyprus
CityLimassol
Period06/07/202008/07/2020
Internet address

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