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  Digital Discovery of 100 diverse Quantum Experiments with PyTheus

Ruiz-Gonzalez, C., Arlt, S., Petermann, J., Sayyad, S., Jaouni, T., Karimi, E., et al. (2023). Digital Discovery of 100 diverse Quantum Experiments with PyTheus. Quantum, 7: 1204. doi:10.22331/q-2023-12-12-1204.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-4963-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-0E46-5
Genre: Journal Article

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 Creators:
Ruiz-Gonzalez, Carlos1, Author
Arlt, Sören1, Author
Petermann, Jan1, Author
Sayyad, Sharareh2, Author
Jaouni, Tareq3, Author
Karimi, Ebrahim1, 3, Author
Tischler, Nora4, Author
Gu, Xuemei1, Author
Krenn, Mario1, Author
Affiliations:
1Krenn Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society, Staudtstraße 2, 91058 Erlangen, DE, ou_3345237              
2Kunst Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society, Staudtstraße 2, 91058 Erlangen, DE, ou_3345236              
3Nexus for Quantum Technologies, University of Ottawa, K1N 5N6, ON, Ottawa, Canada, ou_persistent22              
4Centre for Quantum Computation and Communication Technology (Australian Research Council), Centre for Quantum Dynamics, Griffith University, Brisbane, Australia, ou_persistent22              

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Free keywords: Quantum Physics, quant-ph
 Abstract: Photons are the physical system of choice for performing experimental tests of the foundations of quantum mechanics. Furthermore, photonic quantum technology is a main player in the second quantum revolution, promising the development of better sensors, secure communications, and quantum-enhanced computation. These endeavors require generating specific quantum states or efficiently performing quantum tasks. The design of the corresponding optical experiments was historically powered by human creativity but is recently being automated with advanced computer algorithms and artificial intelligence. While several computer-designed experiments have been experimentally realized, this approach has not yet been widely adopted by the broader photonic quantum optics community. The main roadblocks consist of most systems being closed-source, inefficient, or targeted to very specific use-cases that are difficult to generalize. Here, we overcome these problems with a highly-efficient, open-source digital discovery framework PyTheus, which can employ a wide range of experimental devices from modern quantum labs to solve various tasks. This includes the discovery of highly entangled quantum states, quantum measurement schemes, quantum communication protocols, multi-particle quantum gates, as well as the optimization of continuous and discrete properties of quantum experiments or quantum states. PyTheus produces interpretable designs for complex experimental problems which human researchers can often readily conceptualize. PyTheus is an example of a powerful framework that can lead to scientific discoveries -- one of the core goals of artificial intelligence in science. We hope it will help accelerate the development of quantum optics and provide new ideas in quantum hardware and technology.

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 Dates: 2023-12-12
 Publication Status: Published online
 Pages: 44 pages, 62 figures, comments welcome!
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.22331/q-2023-12-12-1204
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Title: Quantum
Source Genre: Journal
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Publ. Info: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
Pages: - Volume / Issue: 7 Sequence Number: 1204 Start / End Page: - Identifier: ISSN: 2521-327X
Other: https://doi.org/10.22331/q
CoNE: https://pure.mpg.de/cone/journals/resource/2521-327X