Quantum Science Seminar #53 - Quantum Computing

"Quantum computing in industry"

Helmut G. Katzgraber - Quantum Solutions Lab
(Amazon Web Services)

Quantum computing promises to solve seemingly intractable problems. In the medium term, both optimization and chemistry will likely be the only impactful applications for this novel technology. In this talk, an overview of quantum computing in industry with a focus on optimization is presented. It is argued that quantum optimization machines are still superseded by classical approaches on CMOS for the foreseeable future. However, problem modeling as well as physics-inspired algorithms present new, potentially transformative ways to solve hard combinatorial optimization problem across industries. This is illustrated with a new hybrid algorithm for combinatorial optimization problems.

References:

[1] Philipp Hauke, Helmut G. Katzgraber, Wolfgang Lechner, Hidetoshi Nishimori, and William D. Oliver

"Perspectives of quantum annealing: Methods and implementations"

Reports on Progress in Physics 83, 054401 (2020)

[2] Maliheh Aramon, Gili Rosenberg, Elisabetta Valiante, Toshiyuki Miyazawa, Hirotaka Tamura, and Helmut G. Katzgraber

"Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer"

Frontiers in Physics 7, 48 (2019)

[3] Alejandro Perdomo-Ortiz, Alexander Feldman, Asier Ozaeta, Sergei V. Isakov, Zheng Zhu, Bryan O’Gorman, Helmut G. Katzgraber, Alexander Diedrich, Hartmut Neven, Johan de Kleer, Brad Lackey, and Rupak Biswas

"Readiness of Quantum Optimization Machines for Industrial Applications"

Physical Review Applied 12, 014004 (2019)

Access the live talk at 17.00 CEST or the recording afterwards via this link:

https://www.youtube.com/channel/UCYfq48NHj6zbudywnLW3aYw

Here you can find the recording of the last lecture by John Doyle about "Laser Cooling of Polyatomic Molecules".

Quantum Science Seminar #52 - Eleni Diamanti

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