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5 March 2021 Integrated coherent Ising machines for next-generation optimization accelerators
Thomas Van Vaerenbergh, Geza Kurczveil, Antoine Descos, Fabian Bohm, Suhas Kumar, Di Liang, Guy Verschaffelt, Guy Van der Sande, John Paul Strachan, Ray Beausoleil
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Proceedings Volume 11703, AI and Optical Data Sciences II; 117030D (2021) https://doi.org/10.1117/12.2585839
Event: SPIE OPTO, 2021, Online Only
Abstract
Coherent Ising machines have been proposed as a promising platform for combinatorial optimization. Initial fiber-based, FPGA-assisted instantiations experimentally outperform quantum annealers based on superconducting qubits in speed and energy-efficiency due their ability to have programmable all-to-all connectivity between the Ising nodes. Since then, multiple flavors of coherent Ising machines have been proposed based on silicon photonics. In this talk, we will compare and contrast these integrated Ising machines with their table-top setup counterparts and their upcoming competitors in digital and analog electronics. Moreover, we will explain how large-scale problems can be mapped to small-scale integrated Ising cores.
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Thomas Van Vaerenbergh, Geza Kurczveil, Antoine Descos, Fabian Bohm, Suhas Kumar, Di Liang, Guy Verschaffelt, Guy Van der Sande, John Paul Strachan, and Ray Beausoleil "Integrated coherent Ising machines for next-generation optimization accelerators", Proc. SPIE 11703, AI and Optical Data Sciences II, 117030D (5 March 2021); https://doi.org/10.1117/12.2585839
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KEYWORDS
Analog electronics
Annealing
Artificial intelligence
Binary data
Digital electronics
Integrated optics
Quantum communications
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