Optical Machine for Solving Combinatorial Optimization Problems

Student: Kozlov Kirill

Educational Programme: Physics (Bachelor)

Final Grade: 9

Year of Graduation: 2024

The use of analogue optical computing is a promising way to accelerate classical optimization algorithms, including training of neural networks due to the possibility of scalability and high parallelism. A relevant problem is the development of a way to encode tasks in an optical circuit. This paper presents a way to encode a universal quadratic form. Also, the the work considers a binary optimisation problem and performs simulations.

Full text (added May 23, 2024)

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