Entropy Computing: A Paradigm for Optimization in an Open Quantum System

التفاصيل البيبلوغرافية
العنوان: Entropy Computing: A Paradigm for Optimization in an Open Quantum System
المؤلفون: 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, Campanelli, Mark, Huffman, Russell, Sua, Yong Meng, Huang, Yuping
سنة النشر: 2024
المجموعة: Physics (Other)
Quantum Physics
مصطلحات موضوعية: Quantum Physics, Physics - Optics
الوصف: Modern quantum technologies using matter are designed as closed quantum systems to isolate them from interactions with the environment. This design paradigm greatly constrains the scalability and limits practical implementation of such systems. Here, we introduce a novel computing paradigm, entropy computing, that works by conditioning a quantum reservoir thereby enabling the stabilization of a ground state. In this work, we experimentally demonstrate the feasibility of entropy computing by building a hybrid photonic-electronic computer that uses measurement-based 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 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2407.04512
رقم الأكسشن: edsarx.2407.04512
قاعدة البيانات: arXiv