activity
20182026
most citedOn the experimental feasibility of quantum state reconstruction via machine learning

29 citations · 70 across the 14 of their papers we have counts for

collaborators

21 papers

quant-ph2026

Induced random mixed states are symmetric Dirichlet mixtures

Brian T. Kirby, Alexander C. B. Greenwood, Sanjaya Lohani +1

We establish an exact equivalence in distribution between -dimensional random mixed states induced by partial traces over -dimensional environments and the Mai-Alquier distri…

quant-ph2026

Adaptive AI for Pulse-Level Quantum Control

Sanjeev Shapkota, Yayu Mo, Sanjaya Lohani

The Control Variational Quantum Eigensolver (ctrl-VQE) directly optimizes microwave pulses to enable faster and lower-error quantum-state preparation, but its continuous control la…

quant-ph2026

Quantum Erasure Imaging: Complementary Modalities from Delayed-Choice Erasure

Sean D Huver, Sanjaya Lohani

Quantum Erasure Imaging (QEI) turns delayed-choice erasure into a practical imaging protocol. Entangled photon pairs encode two classical modalities, absorption and a phas…

stat.ML2025

Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles

Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani +4

This work introduces a new method designed for Bayesian deep learning called scalable Bayesian Monte Carlo (SBMC). The method is comprised of a model and an algorithm. The model in…

physics.optics2024

Classification of Single Photons in Higher-Order Spatial Modes via Convolutional Neural Networks

Manon P. Bart, Sita Dawanse, Nicholas J. Savino +7

Spatial modes are a promising candidate for encoding information for classical and quantum optical communication due to their potential high information capacity. Unfortunately, co…

stat.ML2024

Comparison of parallel SMC and MCMC for Bayesian deep learning

Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani +4

This work systematically compares parallel implementations of consistent (asymptotically unbiased) Bayesian deep learning algorithms: sequential Monte Carlo sampler (SMC$_\parallel…