Abstract
In general, quantum circuits permit anytwological qubits tobe combined viaa quantum gate. When these are tobe deployed on locally-connected grid-shaped quantum processors, swap operations are required to make adjacent interacting qubits. Swap insertion algorithms are complex and time-consuming. Windowing limits this complexity by considering onlya subset ofthe circuit's gates when inserting swaps, but hasnotbeen applied tothe latest generation of swap insertion algorithms, nor hasany systematic method been proposed for determining the appropriate window length. This paper showshowoff-line analysis ofswap density across the circuit identifies thresholds for window length which limit increases inthe number of swap gates. When adopted, speed-ups inthe swap insertion process asymptotically approach 100% with the length ofthe circuit, whilst maintaining swap costsat comparable levelstonon-windowed algorithms.
Original language | English |
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Title of host publication | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728103976 |
DOIs | |
Publication status | Published - 01 May 2019 |
Event | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan Duration: 26 May 2019 → 29 May 2019 https://www.iscas2019.org/ |
Publication series
Name | Proceedings: IEEE International Symposium on Circuits and Systems |
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Volume | 2019-May |
ISSN (Print) | 2158-1525 |
Conference
Conference | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 |
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Country/Territory | Japan |
City | Sapporo |
Period | 26/05/2019 → 29/05/2019 |
Internet address |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Window size estimation for nearest neighbour compliant quantumcircuit mapping'. Together they form a unique fingerprint.Student theses
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The synthesis of nearest neighbour compliant quantum circuits
Rogers, L. (Author), McAllister, J. (Supervisor) & Paternostro, M. (Supervisor), Jul 2021Student thesis: Doctoral Thesis › Doctor of Philosophy
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