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Thomas Vidick

Thomas Vidick

Appointment

CIFAR Azrieli Global Scholar 2017-2019

Quantum Information Science

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About

Thomas Vidick’s research is at the interface of theoretical computer science, quantum information and cryptography.

He is interested in applying techniques from computer science, such as complexity theory, to study problems in quantum computing. He has investigated the role of entanglement in multi-prover interactive proof systems and obtained the first substantial computational hardness results on the power of entangled provers. Entanglement also plays a major role in quantum cryptography, and Vidick has made important contributions to the field of device-independent cryptography.

Awards

  • Co-winner of the FOCS 2012 Best Paper Award
  • Bernard Friedman Memorial Prize in Applied Mathematics
  • Air Force Young Investigator Award

Relevant Publications

  • Arad, I., Landau, Z., Vazirani, U., & Vidick, T. (2017). Rigorous RG algorithms and area laws for low energy eigenstates in 1D. Communications in Mathematical Physics, 356(1), 65-105.

  • Arnon-Friedman, R., Dupuis, F., Fawzi, O., Renner, R., & Vidick, T. (2018). Practical device-independent quantum cryptography via entropy accumulation. Nature communications, 9(1), 459.

  • Natarajan, A., & Vidick, T. (2018, October). Low-degree testing for quantum states, and a quantum entangled games PCP for QMA. In 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 731-742). IEEE.

  • Brakerski, Z., Christiano, P., Mahadev, U., Vazirani, U., & Vidick, T. (2018, October). A cryptographic test of quantumness and certifiable randomness from a single quantum device. In 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 320-331). IEEE.

  • Fitzsimons, J., Ji, Z., Vidick, T., & Yuen, H. (2019, June). Quantum proof systems for iterated exponential time, and beyond. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (pp. 473-480). ACM.

Institution

California Institute of Technology

Department

Department of Computing and Mathematical Sciences

Education

  • PhD, University of California, Berkeley
  • Masters, Université Paris
  • BS, École normale supérieure

Country

United States

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