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Quantum principal component analysis
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The usual way to reveal properties of an unknown quantum state, given many copies of a system in that state, is to perform measurements of different observables and to analyze the measurement results statistically. Here we show that the unknown quantum state can play an active role in its own analysis. In particular, given multiple copies of a quantum system with density matrix \rho, then it is possible to perform the unitary transformation e^{-i\rho t}. As a result, one can create quantum coherence among different copies of the system to perform quantum principal component analysis, revealing the eigenvectors corresponding to the large eigenvalues of the unknown state in time exponentially faster than any existing algorithm.
Forward citations
Cited by 2 Pith papers
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A distillation-teleportation protocol for fault-tolerant QRAM
An adaptive distillation-teleportation protocol implements a fault-tolerant QRAM query with poly(n) quantum resources and 1/poly(n) device fidelity, at the cost of an exponential classical dataset update each round.
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Singular value transformation for unknown quantum channels
An algorithm block-encodes the Liouville representation of an unknown quantum channel from black-box access, enabling polynomial transformations of its singular values via QSVT.
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