Projects per year
Abstract
Most leading proposals for linear-optical quantum computing (LOQC) use cluster states, which act as a universal resource for measurement-based (one-way) quantum computation (MBQC). In ballistic approaches to LOQC, cluster states are generated passively from small entangled resource states using so-called fusion operations. Results from percolation theory have previously been used to argue that universal cluster states can be generated in the ballistic approach using schemes which exceed the critical threshold for percolation, but these results consider cluster states with unbounded size. Here we consider how successful percolation can be maintained using a physical architecture with fixed physical depth, assuming that the cluster state is continuously generated and measured, and therefore that only a finite portion of it is visible at any one point in time. We show that universal LOQC can be implemented using a constant-size device with modest physical depth, and that percolation can be exploited using simple pathfinding strategies without the need for high-complexity algorithms.
Original language | English |
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Article number | 015005 |
Number of pages | 13 |
Journal | Quantum Science and Technology |
Volume | 3 |
Issue number | 1 |
Early online date | 15 Nov 2017 |
DOIs | |
Publication status | Published - Jan 2018 |
Structured keywords
- QETLabs
Keywords
- Quantum Computation
- Linear Optics
- Quantum computing
- Percolation theory
- Quantum Engineering
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Dive into the research topics of 'Physical-depth architectural requirements for generating universal photonic cluster states'. Together they form a unique fingerprint.Projects
- 2 Finished
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Programme Grant: Engineering Photonic Quantum Technologies.
Rarity, J. G., O'Brien, J. L., Thompson, M. G., Erven, C., Sahin, D., Marshall, G. D., Barreto, J., Jiang, P., McCutcheon, W. D., Silverstone, J. W., Sinclair, G. F., Kling, L., Banerjee, A., Wang, J., Santagati, R., Borghi, M., Woodland, E. M., Mawdsley, H. C. M. & Faruque, I. I.
16/06/14 → 15/06/19
Project: Research, Parent
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Datasets
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Data from Percolation-based LOQC (10-2017)
Morley-Short, S. (Creator) & Cable, H. (Data Manager), University of Bristol, 6 Oct 2017
DOI: 10.5523/bris.2wmj58va0tejt23ojmkxlkf4nu, http://data.bris.ac.uk/data/dataset/2wmj58va0tejt23ojmkxlkf4nu
Dataset