collaborators

5 papers

quant-ph2026

Quantum computational displacement sensing

Sridhar Prabhu, Saeed A. Khan, Xingrui Song +7

Quantum computational sensing (QCS) combines quantum sensing with quantum computing to extract task-relevant information from the physical world. QCS can in principle achieve an ac…

cs.CV2026

Ultra-low-light computer vision using trained photon correlations

Mandar M. Sohoni, Jérémie Laydevant, Mathieu Ouellet +7

Illumination using correlated photon sources has been established as an approach to allowing high-fidelity images to be reconstructed from noisy camera frames by taking advantage o…

quant-ph2025

Exponential advantage in quantum sensing of correlated parameters

Sridhar Prabhu, Vladimir Kremenetski, Saeed A. Khan +2

Conventionally in quantum sensing, the goal is to estimate one or more unknown parameters that are assumed to be deterministic - that is, they do not change between shots of the qu…

quant-ph2025

Large-scale quantum reservoir computing using a Gaussian Boson Sampler

Valeria Cimini, Mandar M. Sohoni, Federico Presutti +7

A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at large scale in optics. Here we report on experiments in which we used a fre…

physics.optics2025

Programmable on-chip nonlinear photonics

Ryotatsu Yanagimoto, Benjamin A. Ash, Mandar M. Sohoni +7

Nonlinear photonics uses coherent interactions between optical waves to engineer functionality that is not possible with purely linear optics. Traditionally, the function of a nonl…