Exotic Isotope/Simulation Software Research
September 2020 through May 2021, I participated in research under Dr. Abhay Deshpande at Stony Brook University, working directly with Dr. Barak Schmookler. The research pertained to the Electron-Ion Collider (EIC) at the Brookhaven National Laboratory (BNL), and focused on its potential for detecting rare isotopes. In particular, my contribution dealt with comparing the accuracies of various high energy accelerator simulation software, including BeAGLE and FLUKA. A paper for the project is still ongoing; however, relevant slides can be found on Indico, and reference to the project can be found in the EIC Yellow Report in section 7.5.6.
Listed again for ease of access:
- BeAGLE and FLUKA Software
- Slides explaining rare isotope detection project
- In-depth analysis of the rare isotope detection project: EIC Yellow Report (section 7.5.6)
Quantum Algorithms
June 2020 through the present, my research at the Air Force Research Laboratory (AFRL) has focused on machine learning applications of quantum algorithms, and its progression can be traced as follows. My first project centered on the automation of user-designed quantum Bayesian networks, with a focus on noise modeling; it is now the base of a quantum Bayesian network UI we are developing at AFRL. Next, I became involved in a project researching the efficiencies of different parameterized circuits in quantum autoencoders. Here, my contributions consisted of defining the input data and designing the portion of code responsible for amplitude encoding. This research has recently been published; its link can be found here. Currently, I have just concluded heading a project, designing and implementing novel quantum analogs to classical graph neural networks for the goal of particle interaction simulation. It too has been recently published, and its link can be found here.
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