3.2k citations · 4.1k across the 9 of their papers we have counts for
9 papers
Cavity-enhanced single artificial atoms in silicon
Valeria Saggio, Carlos Errando-Herranz, Samuel Gyger +9
Artificial atoms in solids are leading candidates for quantum networks, scalable quantum computing, and sensing, as they combine long-lived spins with mobile and robust photonic qu…
Routing Single Photons from a Trapped Ion Using a Photonic Integrated Circuit
Uday Saha, James D. Siverns, John Hannegan +4
Trapped ions are promising candidates for nodes of a scalable quantum network due to their long-lived qubit coherence times and high-fidelity single and two-qubit gates. Future qua…
Individually Addressable and Spectrally Programmable Artificial Atoms in Silicon Photonics
Mihika Prabhu, Carlos Errando-Herranz, Lorenzo De Santis +4
Artificial atoms in solids have emerged as leading systems for quantum information processing tasks such as quantum networking, sensing, and computing. A central goal is to develop…
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…
Heuristic Recurrent Algorithms for Photonic Ising Machines
Charles Roques-Carmes, Yichen Shen, Cristian Zanoci +10
The inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been m…
Genuine Counterfactual Communication with a Nanophotonic Processor
I. Alonso Calafell, T. Strömberg, D. R. M. Arvidsson-Shukur +11
In standard communication information is carried by particles or waves. Counterintuitively, in counterfactual communication particles and information can travel in opposite directi…
Deep Learning with Coherent Nanophotonic Circuits
Yichen Shen, Nicholas C. Harris, Scott Skirlo +8
Artificial Neural Networks are computational network models inspired by signal processing in the brain. These models have dramatically improved the performance of many learning tas…
Quantum transport simulations in a programmable nanophotonic processor
Nicholas C. Harris, Gregory R. Steinbrecher, Jacob Mower +9
Environmental noise and disorder play critical roles in quantum particle and wave transport in complex media, including solid-state and biological systems. Recent work has predicte…