Magic-state functional units mapping and scheduling multi-level distillation circuits for fault-tolerant quantum architectures
Quantum computers have recently made great strides and are on a long-term path towards useful fault-tolerant computation. A dominant overhead in fault-tolerant quantum computation is the production of high-fidelity encoded qubits, called magic states, which enable reliable error-corrected computatio...
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Published in | 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) pp. 828 - 840 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
Piscataway, NJ, USA
IEEE Press
01.10.2018
IEEE |
Series | ACM Conferences |
Subjects | |
Online Access | Get full text |
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Summary: | Quantum computers have recently made great strides and are on a long-term path towards useful fault-tolerant computation. A dominant overhead in fault-tolerant quantum computation is the production of high-fidelity encoded qubits, called magic states, which enable reliable error-corrected computation. We present the first detailed designs of hardware functional units that implement space-time optimized magic-state factories for surface code error-corrected machines.
Interactions among distant qubits require surface code braids (physical pathways on chip) which must be routed. Magic-state factories are circuits comprised of a complex set of braids that is more difficult to route than quantum circuits considered in previous work [1]. This paper explores the impact of scheduling techniques, such as gate reordering and qubit renaming, and we propose two novel mapping techniques: braid repulsion and dipole moment braid rotation. We combine these techniques with graph partitioning and community detection algorithms, and further introduce a stitching algorithm for mapping subgraphs onto a physical machine. Our results show a factor of 5.64 reduction in space-time volume compared to the best-known previous designs for magic-state factories. |
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ISBN: | 9781538662403 153866240X |
DOI: | 10.1109/MICRO.2018.00072 |