Lohani Research Group
Quantum AI and Engineering
Considering joining the group ..
Quantum AI and Engineering
👋
Our group is dedicated to developing innovative and impactful research across a wide spectrum of exciting and flourishing fields of quantum science and engineering, including artificial intelligence, quantum computation and control, quantum sensing, communication and networking, and cutting-edge quantum technologies.
Please don't hesitate to contact me if you have any questions or considering joining the group.
...
June 22 – 25. Prof. Lohani served as a session chair, “Quantum Breakthroughs Creating Game-Changing Applications”, at DAC62 The Chips to Systems Conference. https://62dac.conference-program.com/.
June 13, Prof. Lohani served as a Technical Committee Member for QCE 25, IEEE International Conference on Quantum Computing and Engineering (QCE). Thanks to all sub-reviewers: Yayu Mo, Lin Ding.
Yayu will continue his research as a summer graduate research assistant and pursue his PhD in the group from the Fall 2025.
---------- x ----------
2025, "Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles", arXiv:2505.13585
2025, "Distorted Edge Feature Extraction using Quantum Convolutional Structure" IEEE DCAS. https://ieeexplore.ieee.org/document/11045502.
2025, "Classification of Single Photons in Higher-Order Spatial Modes via Convolutional Neural Networks", arXiv:2412.07560.
---------- x ----------
July 20 - 25, 2025, Chicago, IL.
June 21 - 25, 2025, San Francisco, CA.
March 06 - 09, 2025, Chicago, IL.
...
“The introduction of the quantum engineering master’s program establishes Lyle as a dynamic ecosystem, uniting leaders in the quantum information science and engineering communities,” notes Dr. Sanjaya Lohani, a member of the program’s esteemed faculty. “Lyle offers unparalleled research and education opportunities to make a significant impact.” ... .... Read more >>
Featured in the US Army Research Office 2022 annual review, July 2023. ARO 2022 annual review - Please visit page 156.
Won Brookhaven Seed Award, March 2023. Read the press release.
A Hardware-Aware Approach to Improving Quantum State Tomography, Qiskit, Feb 15, 2022. Read the published article
... ...
Machine learning shows potential to enhance quantum information transfer, March 2021
...