PXL_20200917_034611373-01

People

Victor Kasatkin

Victor Kasatkin got his PhD at the California Institute of Technology working under the supervision of Matilde Marcolli. In addition he took courses in machine learning and quantum computing and later TA-ed Yaser’s “Learning from data” course. After the PhD he applied his software engineering and machine learning skills at Google. Later, as a senior software engineer, he led the launch and development of Pay For Conversion backend. In 2021 he joined Daniel Lidar’s group as a postdoctoral researcher to work on applications of quantum computing to machine learning.

Room: SSC 611
Email: K A S A T K I N A T U S C D O T E D U

Peer Reviewed Publications

  • 4. “Which differential equations correspond to the Lindblad equation?”, Phys. Rev. Research 5, 043163 (2023), by V. Kasatkin, L. Gu and D. A. Lidar [link]
  • 3. “On the spectrum of the algebra of singular integral operators with discontinuities in symbols in momenta and coordinates”, Journal of Mathematical Sciences 172 (4). 2011, by V. Kasatkin [link]
  • 2. “Morphogenetic gradients and the stability of boundaries between neighboring morphogenetic regions”, Bulletin of mathematical biology 70, 156–178 (2008) by V. Kasatkin, A. Prochiantz, D. Holcman [link]
  • 1. “Modeling homeoprotein intercellular transfer unveils a parsimonious mechanism for gradient and boundary formation in early brain development”, Journal of theoretical biology 249 (3), 503-517. 2007, by D. Holcman, V. Kasatkin, A. Prochiant [link]

Preprints

  • 2. “Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem”, [2401.07934] by P. Singkanipa, V. Kasatkin, Z. Zhou, G. Quiroz, D.A. Lidar.
  • 1. “Fredholm modules and the Beilinson-Bloch regulator”, [1509.02864], by E. Ha and V. Kasatkin