Entropy computing: efficient optimization in an open quantum photonic system
Mohammad‐Ali Miri, Joey Rupert, Lac Nguyen, Wesley Dyk, Sam B. Wu, Nick Vrahoretis, Irwin Huang, Milan Begliarbekov, Nicholas Chancellor, Uchenna Chukwu, Pranav Mahamuni, Cesar Martinez-Delgado, David Haycraft, Carrie Spear, Mark B. Campanelli, Russell Huffman, Yong Meng Sua, Yu‐Ping Huang · 2025
We introduce entropy computing, a new approach toward optimization that involves conditioning a quantum reservoir to stabilize and sustain the ground state. We experimentally demonstrate entropy computing through a hybrid photonic-electronic system leverages photon qudits, which are encoded as probability amplitudes in the time-frequency domain, and integrates electronic interconnects to create an arbitrary Hamiltonian. Our platform effectively addresses non-convex continuous variable and combinatorial optimization problems, showcasing its potential for solving complex computational challenges.