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Center for Nonlinear Studies |
Physical systems can often be understood through the transformations and computations they naturally perform. This perspective provides a unifying framework for analyzing complex phenomena, from many-body quantum systems to neural computation in the brain. Beyond abstraction, these ideas can also inform the development of next generation computers which natively implement algorithms and demand less energy. In this talk, I will discuss specific specific classical analog algorithms that leveraging transient hardware dynamics for useful computation. I will present results for near term hardware based linear algebra accelerators. Further, I will present preliminary works applying these same non-equilibrium and network theoretic ideas to quantum algebras to study dynamics and decoherence in open quantum systems.
Host: Syed Shah