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arxiv: 1211.2217 · v3 · pith:RBNINC67new · submitted 2012-11-09 · 🪐 quant-ph

Topological quantum computing with a very noisy network and local error rates approaching one percent

classification 🪐 quant-ph
keywords cellserrorquantumratesnetworknoisythenvery
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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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