Hello! Our lab is a theory lab and my group and I are pursuing research in the wide field of the Physics of Information and AI.
The Applied Math Department and Perimeter Institute are hiring! We are seeking an outstanding researcher for a joint tenure-track faculty position at the intersection of AI, Theoretical Physics, and Mathematical Foundations. To apply, see the ad here.
Current topics include, for example:
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Quantum information in quantum gravity
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Relativistic Quantum Information
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Computational complexity in adiabatic quantum computation
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AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction)
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Quantum machine learning
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Quantum cloud technologies
We are actively involved in practical applications through partnerships with the National Research Council of Canada, IVADO in Montreal, with the Fraunhofer Institute IAO on the Bildungscampus Heilbronn and with the forthcoming Innovation Park Artificial Intelligence in Heilbronn, Germany.
We have also been researching information-theoretic aspects of engineering and biology. Oh, and yes, we showed that one can integrate by differentiating - see for example the two equations on the top right of this page. No kidding: Journal, Arxiv, Journal, Arxiv, Video. The new methods are now implemented in Maple and are making Maple faster and more powerful than the competition in integration and integral transforms.
Here is some advice I wrote for new grad students: Handbook
And, we are hiring! With generous funding from the Dieter Schwarz Foundation, we are seeking exceptional junior scientists for multiple research positions, namely junior postdocs, senior postdocs and research assistant professors. To apply, see the ad here.
News
We developed the first method to safely redundantly back up quantum information, enabling quantum clouds
We showed that, in spite of the no-cloning theorem, qubits can be cloned at will, if encrypted with a single-use decryption key. Here are the two LinkedIn announcements post, experimental post, a link to the theory paper, a link to the paper that shows it works in practice, and here is some press coverage.
We discovered new insights into the problem of solving problems
Any computational problem can be reformulated as an adiabatic quantum computation. We discovered new insights into how problem hardness translates into slowdowns due to entanglement production. See, for example, here.
Achim Kempf appointed Dieter Schwarz Chair in the Physics of Information and AI
Professor Achim Kempf has been appointed the inaugural Dieter Schwarz Chair in the Physics of Information and AI, established by a landmark donation from the Dieter Schwarz Foundation to fund new research at the intersection of quantum information and artificial intelligence. Read the full story here.