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This paper describes a novel approach to solving unstructured search problemsusing a classical, signal-based emulation of a quantum computer. The classicalnature of the representation allows one to perform subspace projections inaddition to the usual unitary gate operations. Although bandwidth requirementswill limit the scale of problems that can be solved by this method, it cannevertheless provide a significant computational advantage for problems oflimited size. In particular, we find that, for the same number of noisy oraclecalls, the proposed subspace projection method provides a higher probability ofsuccess for finding a solution than does an single application of Grover'salgorithm on the same device.

Subspace projection method for unstructured searches with noisy quantum oracles using a signal-based quantum emulation device