Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Entropy computing, a paradigm for optimization in open photonic systems. |
| Συγγραφείς: |
Nguyen, Lac, Miri, Mohammad-Ali, Rupert, R. Joseph, Dyk, Wesley, Wu, Sam, Vrahoretis, Nick, Huang, Irwin, Begliarbekov, Milan, Chancellor, Nicholas, Chukwu, Uchenna, Mahamuni, Pranav, Martinez-Delgado, Cesar, Haycraft, David, Spear, Carrie, Huffman, Joel Russell, Sua, Yong Meng, Huang, Yu-Ping |
| Πηγή: |
Communications Physics; 10/24/2025, Vol. 8 Issue 1, p1-9, 9p |
| Θεματικοί όροι: |
Combinatorial optimization, Photonics, Quantum computing, Combinatorics, Mathematical optimization, Hamiltonian mechanics, Quantum electronics, Optical computing |
| Περίληψη: |
Finding better solutions to combinatorial optimization problems could have a large positive impact on many real-world application areas, such as logistics. For this reason, significant efforts have been made to design novel optimization paradigms. Here we show an early instance of such paradigm in an optical setting, the entropy computing paradigm. Specifically, we experimentally demonstrate the feasibility of entropy computing by building a hybrid photonic-electronic computer that uses optical measurement and feedback to solve non-convex optimization problems. The system functions by using temporal photonic modes to create qudits in order to encode probability amplitudes in the time-frequency degree of freedom of a photon. This scheme, when coupled with with electronic interconnects, allows us to encode an arbitrary Hamiltonian into the system and solve non-convex continuous variables and combinatorial optimization problems. We show that the proposed entropy computing paradigm can act as a scalable and versatile platform for tackling a large range of NP-hard optimization problems. The authors introduce a computational paradigm termed "entropy computing" to solve combinatorial optimization problems using an open quantum system, where engineered dissipations are employed to stabilize the system state to the ground state of a desired Hamiltonian and show that it can be realized on photonic hardware. Finally, they experimentally show its strong performance on max-cut related problems. [ABSTRACT FROM AUTHOR] |
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