Topological quantum computing with a very noisy network and local error rates approaching one percent
arXiv:1211.2217 · doi:10.1038/ncomms2773
Abstract
A scalable quantum computer could be built by networking together many simple processor cells, thus avoiding the need to create a single complex structure. The difficulty is that realistic quantum links are very error prone. A solution is for cells to repeatedly communicate with each other and so 'purify' any imperfections; however prior studies suggest that the cells themselves must then have prohibitively low internal error rates. Here we describe a method by which even error-prone cells can perform purification: groups of cells generate shared resource states, which then enable stabilization of topologically encoded data. Given a realistically noisy network (>=10% error rate) we find that our protocol can succeed provided that intra-cell error rates for initialisation, state manipulation and measurement are below 0.82%. This level of fidelity is already achievable in several laboratory systems.
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References in corpus (10)
- Surface codes: Towards practical large-scale quantum computation
- Fault-tolerant quantum computation with high threshold in two dimensions
- Towards fault-tolerant quantum computing with trapped ions
- Quantum computing with nearest neighbor interactions and error rates over 1%
- Distributed Quantum Computation Based-on Small Quantum Registers
- Prospects for measurement-based quantum computing with solid state spins
- Surface code with decoherence: An analysis of three superconducting architectures
- Distributed quantum information processing with minimal local resources
- Practicality of spin chain 'wiring' in diamond quantum technologies
- Purification of large bicolorable graph states