Our group aims to theoretically AND experimentally investigate various quantum properties of light-matter interaction for applications in future optoelectronic devices, quantum information processing, and sensing. Moreover, we explore associated fundamental phenomena, such as many-body physics, that could emerge in such physical systems. Our research is at the interface of quantum optics, condensed matter physics, quantum information sciences, and more recently, machine learning.
Boson Sampling for Generalized Bosons (Video)
Recent progress on quantum random sampling protocols such as random circuit sampling (interacting) and boson sampling (non-interacting) demonstrate an advantage of quantum information processing. Is there an intermediately interacting regime where the random sampling becomes intractable in a classical setting and becomes feasible on a quantum device? We found that such an intermediately interacting regime could be feasibly utilized by a generalization of current boson sampling protocols.
Excursions at the Interface of Topological Phases of Matter and Quantum Error Correction
Dissertation Committee Chair: Professor Maissam Barkeshli
Committee:
Professor Sankar Das Sarma
Professor Jay Deep Sau
Professor Michael Gullans
Professor Mohammad Hafezi
Theses
2023
- Quantum Simulation of the Bosonic System and Application of Machine Learning, PhD Thesis, En-Jui Kuo (2023)
2022
Sunil Mittal
Where are they now?:
Assistant Professor at Northeastern University
Bin Cao
Where are they now?:
Apple
Vikram Orre
Where are they now?:
Genesis Engineering Solutions