High-speed thin-film lithium niobate quantum processor driven by a solid-state quantum emitter
Scalable photonic quantum computing architectures pose stringent requirements on photonic processing devices. The needs for low-loss high-speed reconfigurable circuits and near-deterministic resource state generators are some of the most challenging requirements. Here, we develop an integrated photo...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
May 2023
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| In: |
Science advances
Year: 2023, Volume: 9, Issue: 19, Pages: 1-8 |
| ISSN: | 2375-2548 |
| DOI: | 10.1126/sciadv.adg7268 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1126/sciadv.adg7268 Verlag, lizenzpflichtig, Volltext: https://www.science.org/doi/10.1126/sciadv.adg7268 |
| Author Notes: | Patrik I. Sund, Emma Lomonte, Stefano Paesani, Ying Wang, Jacques Carolan, Nikolai Bart, Andreas D. Wieck, Arne Ludwig, Leonardo Midolo, Wolfram H.P. Pernice, Peter Lodahl, Francesco Lenzini |
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| 520 | |a Scalable photonic quantum computing architectures pose stringent requirements on photonic processing devices. The needs for low-loss high-speed reconfigurable circuits and near-deterministic resource state generators are some of the most challenging requirements. Here, we develop an integrated photonic platform based on thin-film lithium niobate and interface it with deterministic solid-state single-photon sources based on quantum dots in nanophotonic waveguides. The generated photons are processed with low-loss circuits programmable at speeds of several gigahertz. We realize a variety of key photonic quantum information processing functionalities with the high-speed circuits, including on-chip quantum interference, photon demultiplexing, and reprogrammability of a four-mode universal photonic circuit. These results show a promising path forward for scalable photonic quantum technologies by merging integrated photonics with solid-state deterministic photon sources in a heterogeneous approach to scaling up. | ||
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