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Trapped Ion Quantum Computing
Experimental Multi-state Quantum Discrimination in the Frequency Domain with Quantum Dot Light
arXiv
Authors: Alessandro Laneve, Michele B. Rota, Francesco Basso Basset, Nicola P. Fiorente, Tobias M. Krieger, Saimon F. Covre da Silva, Quirin Buchinger, Sandra Stroj, Sven Hoefling, Tobias Huber-Loyola, Armando Rastelli, Rinaldo Trotta, Paolo Mataloni
Year
2022
Paper ID
59236
Status
Preprint
Abstract Read
~2 min
Abstract Words
163
Citations
N/A
Abstract
The quest for the realization of effective quantum state discrimination strategies is of great interest for quantum information technology, as well as for fundamental studies. Therefore, it is crucial to develop new and more efficient methods to implement discrimination protocols for quantum states. Among the others, single photon implementations are more advisable, because of their inherent security advantage in quantum communication scenarios. In this work, we present the experimental realization of a protocol employing a time-multiplexing strategy to optimally discriminate among eight non-orthogonal states, encoded in the four-dimensional Hilbert space spanning both the polarization degree of freedom and photon energy. The experiment, built on a custom-designed bulk optics analyser setup and single photons generated by a nearly deterministic solid-state source, represents a benchmarking example of minimum error discrimination with actual quantum states, requiring only linear optics and two photodetectors to be realized. Our work paves the way for more complex applications and delivers a novel approach towards high-dimensional quantum encoding and decoding operations.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2022 reference point for readers tracking recent quantum research.
- The quest for the realization of effective quantum state discrimination strategies is of great interest for quantum information technology, as well as for fundamental studies.
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