Any n-qubit unitary can be implemented approximately with Õ(2^{n/2}) oracle queries or exactly with Õ(2^{n/2}) circuit depth via Grover search reductions, with matching lower bounds for certain implementations.
Inverting a permutation is as hard as unordered search
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abstract
We show how an algorithm for the problem of inverting a permutation may be used to design one for the problem of unordered search (with a unique solution). Since there is a straightforward reduction in the reverse direction, the problems are essentially equivalent. The reduction we present helps us bypass the hybrid argument due to Bennett, Bernstein, Brassard, and Vazirani (1997) and the quantum adversary method due to Ambainis (2002) that were earlier used to derive lower bounds on the quantum query complexity of the problem of inverting permutations. It directly implies that the quantum query complexity of the problem is asymptotically the same as that for unordered search, namely in Theta(sqrt(n)).
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quant-ph 1years
2021 1verdicts
UNVERDICTED 1representative citing papers
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Query and Depth Upper Bounds for Quantum Unitaries via Grover Search
Any n-qubit unitary can be implemented approximately with Õ(2^{n/2}) oracle queries or exactly with Õ(2^{n/2}) circuit depth via Grover search reductions, with matching lower bounds for certain implementations.