I am a PhD student in the Theory Group at Columbia advised by Henry Yuen. I’m interested quantum computing, especially complexity, cryptography and learning theory. Some specific problems that I think about are QMA versus QMA1, Shadow Tomography, the Complexity of Unitary Synthesis problems, among other problems in Quantum Complexity and Cryptography.
Email: johnb at cs dot columbia dot edu
- John Bostanci and John Watrous. Quantum game theory and the complexity of approximating quantum Nash equilibria. Quantum, 2022.
- John Bostanci and Alex Kubica. Finding the disjointness of stabilizer codes is NP-complete. Physical Review Research, 2022.
- Adam Bene Watts and John Bostanci. Quantum Event Learning and Gentle Random Measurements. Preprint, 2022.
- John Bostanci, Yuval Efron, Tony Metger, Alexander Poremba, Luowen Qian, Henry Yuen. Unitary Complexity and the Uhlmann Transformation Problem. Preprint, 2022.
In Fall 2022 I was a TA for Introduction to Quantum Computing at Columbia, taught by Henry Yuen.
In Summer 2023 I was a TA for Topological Aspects of Error Correcting Codes at the Park City Mathematics Institute Graduate Summer School, taught by Jeongwan Haah.
I used to work for a start-up derivatives exchange called Kalshi, where I helped design and build the exchange, as well as designed and built most of the connections with external parties including Bloomberg, brokers, and market makers.
I also used to work for Citadel on the Alpha Research and Development team. Some of my projects include X-Alpha (a graph based resource manager for creating terms), and Leonov (a neural architecture that performed better than human modelers on near term alpha).