Considering joining the group ..
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Our Lab 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. Â
Please don't hesitate to contact me if you have any questions or considering joining the group.
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2025, “Analyzing Quantum Noise in Image Encodings: A Circuit-Based Hybrid Integration Approach”. In IEEE QCE. (Accepted)
2025, “Potential of Distributed Circuits for Mitigating Quantum Image Noise” . In IEEE QCE. (Accepted)
2025, “Comparision of Parallel SMC and MCMC for Bayesian Deep Learning”. https://arxiv.org/abs/2402.06173
2025, “Distorted Edge Feature Extraction using Quantum Convolutional Structure”, IEEE DCAS. https://ieeexplore.ieee.org/document/11045502
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Aug. 30 - Sep. 5, 2025, Albuquerque, NM. (Please meet Yayu Mo there)
July 20 - 25, 2025, Chicago, IL.
June 21 - 25, 2025, San Francisco, CA.
March 06 - 09, 2025, Chicago, IL.
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“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 articleÂ
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Machine learning shows potential to enhance quantum information transfer, March 2021Â
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