activity
19982026
most citedUltra-bright source of polarization-entangled photons

1.1k citations · 8.1k across the 103 of their papers we have counts for

collaborators

105 papers

quant-ph2026

L-band single-photon generation from a cavity-coupled silicon C-center

Carolina Crosta, Kyu-Young Kim, Purbita Purkayastha +7

Monolithic integration of single-photon sources into silicon photonics offers a compelling solution for realizing scalable quantum telecommunication architectures. Among the candid…

physics.optics2026

Single-Photon Nonlinearity from a Nanobeam with a Quantum Dot

Abhijit Biswas, Neelesh Kumar Vij, Allan S. Bracker +3

An efficient single-photon nonlinearity is a key resource for photonic quantum technologies. Single-photon nonlinearities have been demonstrated with quantum dots (QDs) across a ra…

quant-ph2026

Surface passivation for narrowing optical linewidth of silicon T centers in nanophotonic devices

Fariba Islam, Chang-Min Lee, Kyu-Young Kim +4

Silicon T centers are promising spin-photon interfaces in solid-state platforms for telecom-compatible, scalable quantum information technologies. A major challenge for T centers i…

quant-ph2026

Optically Active Single Hole Spin in ZnSe

Amirehsan Alizadehherfati, Yuxi Jiang, Kelsey J. Mirrielees +7

Semiconductor hole spins offer a pathway to extended coherence times by decoupling from nuclear magnetic noise, while their spin-orbit coupling enables fast all-electrical control.…

quant-ph2026

Bright Telecom Spin-Photon Interface in Silicon Photonics

Carolina Crosta, Amirehsan Alizadehherfati, Purbita Purkayastha +5

Silicon is an attractive host for scalable quantum photonics, but the absence of bright telecom-band emitters with optically addressable spin states has limited its use for spin-ph…

cs.ET2026

Quantization-aware Photonic Homodyne computing for Accelerated Artificial Intelligence and Scientific Simulation

Lian Zhou, Kaiwen Xue, Amirhossein Fallah +14

Modern problems in high-performance computing, ranging from training and inferencing deep learning models in computer vision and language models to simulating complex physical syst…