3.2k citations · 5.4k across the 17 of their papers we have counts for
17 papers
Single chip photonic deep neural network with accelerated training
Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov +6
As deep neural networks (DNNs) revolutionize machine learning, energy consumption and throughput are emerging as fundamental limitations of CMOS electronics. This has motivated a s…
An Electro-Photonic System for Accelerating Deep Neural Networks
Cansu Demirkiran, Furkan Eris, Gongyu Wang +7
The number of parameters in deep neural networks (DNNs) is scaling at about 5 the rate of Moore's Law. To sustain this growth, photonic computing is a promising avenue, as…
Experimental quantum speed-up in reinforcement learning agents
Valeria Saggio, Beate E. Asenbeck, Arne Hamann +10
Increasing demand for algorithms that can learn quickly and efficiently has led to a surge of development within the field of artificial intelligence (AI). An important paradigm wi…
A Recurrent Ising Machine in a Photonic Integrated Circuit
Mihika Prabhu, Charles Roques-Carmes, Yichen Shen +10
Conventional computing architectures have no known efficient algorithms for combinatorial optimization tasks, which are encountered in fundamental areas and real-world practical pr…
Variational Quantum Unsampling on a Quantum Photonic Processor
Jacques Carolan, Masoud Mohseni, Jonathan P. Olson +8
Quantum algorithms for Noisy Intermediate-Scale Quantum (NISQ) machines have recently emerged as new promising routes towards demonstrating near-term quantum advantage (or supremac…
Scalable feedback control of single photon sources for photonic quantum technologies
Jacques Carolan, Uttara Chakraborty, Nicholas C. Harris +4
Large-scale quantum technologies require exquisite control over many individual quantum systems. Typically, such systems are very sensitive to environmental fluctuations, and diagn…