1. Extending gradient echo memory using machine learning and single photons
- Author
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Daniel B. Higginbottom, Karun V. Paul, Jesse L. Everett, Geoff Campbell, Ben C. Buchler, Anthony C. Leung, Aaron D. Tranter, Ping Koy Lam, and Pierre Vernaz-Gris
- Subjects
Physics ,Photon ,business.industry ,Cross-phase modulation ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Machine learning ,computer.software_genre ,01 natural sciences ,010309 optics ,Quantum gate ,Spontaneous parametric down-conversion ,0103 physical sciences ,Atom optics ,Artificial intelligence ,Photonics ,0210 nano-technology ,business ,Optical filter ,Adaptive optics ,computer - Abstract
Gradient echo memory is the most efficient quantum memory protocol to date. Recent additions of machine learning and compatible single photons can raise its performance and the possibility of using it as a quantum gate.
- Published
- 2018
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