Kabir Dubey

Hi! I am a first year Ph.D. student in computer science at Northwestern University. My goal is to improve computer systems for quantum simulation and high-dimensional data processing. I'm particularly interested in what we can learn about these problems through a quantum algorithmic lens.

I graduated with a B.Sc. in mathematics and minor in computer science from the University of Chicago in June 2024. As an undergraduate, my research focus was in quantum adiabatic optimization and mathematical physics. Before that, I worked on machine learning models for accelerator physics and cellular agriculture.

Currently, I am studying topological quantum error correction. In the summer of 2025, I will be a graduate student research assistant at Berkeley National Lab.

I love to collaborate. Please feel free to email me at `kabir [at] u [dot] northwestern [dot] edu`. I am also on LinkedIn and GitHub.

Papers

Perlin, M. A., Shaydulin, R., Hall, B. P., Minssen, P., Li, C., Dubey, K., Rines, R., Anschuetz, E. R., Pistoia, M., & Gokhale, P. (March 2024). Q-CHOP: Quantum constrained Hamiltonian optimization. arXiv:2403.05653.
Roussel, R., Edelen, A., Ratner, D., Dubey, K., Gonzalez-Aguilera, J. P., Kim, Y. K., & Kuklev, N. (May 2022). Differentiable Preisach Modeling for Characterization and Optimization of Particle Accelerator Systems with Hysteresis. Phys. Rev. Lett., 128(20), 204801.
- Presented at: Cornell Center for Bright Beams Joint Theme Meeting [Slides], Midstates Undergraduate Research Symposium 2022, University of Chicago Undergraduate Research Symposium 2022 [Poster]

Kabir Dubey

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