ERC Starting Grant · 2020
Smart protonic quantum frequency circuits
Machine learning empowers computers to solve complex tasks such as pattern identification and strategy optimization with applications in, e.g., financial trading, fraud detection, medical diagnosis, and self-driving vehicles. The required computing power is, however, pushing existing computational resources to their limits, restraining their further advancement. In QFreC, I target the realization of photonic frequency-based quantum co-processors, specifically tailor-made to solve machine learning problems with capabilities commensurate with today’s high-power, yet energy-efficient processing needs. In particular, I will use a high-dimensional photonic quantum frequency comb approach, where…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.