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Trapped Ion Quantum Computing

Storage and retrieval of two unknown unitary channels

arXiv
Authors: Michal Sedlák, Robert Stárek, Nikola Horová, Michal Mičuda, Jaromir Fiurášek, Alessandro Bisio

Year

2024

Paper ID

37432

Status

Preprint

Abstract Read

~2 min

Abstract Words

209

Citations

N/A

Abstract

We address the fundamental task of converting n uses of an unknown unitary transformation into a quantum state (i.e., storage) and later retrieval of the transformation. Specifically, we consider the case where the unknown unitary is selected with equal prior probability from two options. First, we prove that the optimal storage strategy involves the sequential application of the n uses of the unknown unitary, and it produces the optimal state for discrimination between the two possible unitaries. Next, we show that incoherent "measure-and-prepare" retrieval achieves the maximum fidelity between the retrieved operation and the original (qubit) unitary. We then identify the retrieval strategy that maximizes the probability of successfully and perfectly retrieving the unknown transformation. In the regime in which the fidelity between the two possible unitaries is large the probability of success scales as Psucc = 1 - mathcal{O}\(n-2\), which is a quadratic improvement with respect to the case in which the unitaries are drawn from the entire unitary group U(d) with uniform prior probability. Finally, we present an optical experiment for this approach and assess the storage and retrieval quality using quantum tomography of states and processes. The results are discussed in relation to non-optimal measure-and-prepare strategy, highlighting the advantages of our protocol.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • We address the fundamental task of converting n uses of an unknown unitary transformation into a quantum state (i.e., storage) and later retrieval of the transformation.

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