Bora Basyildiz


Hello! I am a Master’s Thesis Student at CSM. I work with and in collaboration with the following two research groups.

I am primarily interested in using Quantum Computers to solve novel problems that classical computers can’t. Yet, to do so, we must make usable Quantum Computers leveraging error correction, error mitigation, and hardware optimizations. Hence, I am interested in Lieb-Robinson Bounds and speed limits in hopes to enable high-depth quantum circuits, which would let us run novel algorithms.

I have previously completed dual undergraduate degrees in Applied Mathematics and Computer Science with a minor in Public Affairs in the McBride Honors Program at CSM. I graduated Summa Cum Laude and was the Outstanding Graduating Senior in Applied Mathematics. At CSM, I was the Senior Director of the McBride Honors Program, Diversity Inclusion & Access Ambassador, and Undergraduate Research Scholar. Professionally, I have worked as a Machine Learning/Data Analyst at AT&T, a Student Researcher at Google, and a Technical Writer at SectionIO.

In my free time, I enjoy to go to NBA games, watch the UFC, ski, play jazz piano, and play video games. If you have any questions or would like to talk, please don’t hesitate to reach out!


  • BS in Applied Mathematics, Colorado School of Mines, 2022
  • BS in Computer Science, Colorado School of Mines, 2022
  • MS in Quantum Engineering, Colorado School of Mines, 2024
  • PhD Candidate in Physics, California Institute of Technology, Incoming Fall 2024


  • Quantum Information Theory
  • Quantum Optimal Control
  • Digital Quantum Computing
  • Quantum Speed Limits.
  • Qudit Quantum Systems
  • Quantum-adjacent Machine Learning.




  • Co-Founder and President of Society of Quantum Engineers (2023-2024)
  • McBride Honors Program Student Director (2022-2023)
  • Leadership Committee for CSM Quantum Engineering Seminar (2023)
Bora Basyildiz headshot


Coorstek 338
Colorado School of Mines
Golden, CO 80401
Bora at a conference with innovators
Hiking at Conference