Internship: Probabilistic computing in nonlinear optical resonators

Internship/Master project:
Probabilistic computing in nonlinear optical resonators

Work Activities

In conventional computers, information is encoded in bits that can take a value of 0 or 1. Quantum computers extend this idea by using qubits, which can exist in superpositions of 0 and 1. A third paradigm, known as probabilistic computing, uses probabilistic bits (p-bits): binary units that randomly fluctuate between 0 and 1 with a controllable probability. Rather than avoiding randomness, this approach uses noise as a computational resource. Probabilistic computing is actively investigated in the context of Boltzmann machines and neural networks, where stochastic binary units can efficiently perform computational tasks that naturally involve randomness, often more efficiently than deterministic hardware. In this project, you will explore how nonlinear optical resonators can be used for probabilistic computing. Our group recently realized, theoretically, a...