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arxiv: 1508.00207 · v4 · pith:UV5CGJFBnew · submitted 2015-08-02 · 🪐 quant-ph

Robust quantum spatial search

classification 🪐 quant-ph
keywords quantumalgorithmalgorithmswalkerrorssearchrecursivesize
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Quantum spatial search has been widely studied with most of the study focusing on quantum walk algorithms. We show that quantum walk algorithms are extremely sensitive to systematic errors. We present a recursive algorithm which offers significant robustness to certain systematic errors. To search N items, our recursive algorithm can tolerate errors of size O(1/\sqrt{\ln N}) which is exponentially better than quantum walk algorithms for which tolerable error size is only O(\ln N/\sqrt{N}). Also, our algorithm does not need any ancilla qubit. Thus our algorithm is much easier to implement experimentally compared to quantum walk algorithms.

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