I am a PhD candidate at Freie Universität Berlin in Jens Eisert’s group. Broadly, I work on quantum computation and quantum information. My research centers on quantum learning and optimization, complexity theory, and verifiable quantum advantage schemes on present-day quantum devices.

I completed my Master’s in physics at Freie Universität Berlin, co-supervised by Jens Eisert and Alex Bredariol Grilo. Before that, I obtained my undergraduate degree in Computing Mathematics with a double minor in physics and computer science at the City University of Hong Kong, advised by Oscar Dahlsten.

Email: asad.raza@fu-berlin.de

Publications

• Verification Complexity and Extension of Classical Shadows [pdf].
  Georgios Karaiskos, Asad Raza, Dorian Rudolph, Dax Enshan Koh, Sevag Gharibian.

• Distinctness threshold for pseudorandom unitaries [pdf].
  Asad Raza, Bill Fefferman, Jens Eisert.

• The computational two-way quantum capacity [pdf].
  Johannes Jakob Meyer, Jacopo Rizzo, Asad Raza, Lorenzo Leone, Sofiene Jerbi, Jens Eisert

• Computational Relative Entropy [pdf].
  Johannes Jakob Meyer, Asad Raza, Jacopo Rizzo, Lorenzo Leone, Sofiene Jerbi, Jens Eisert.
  QIP 2026.

• Complexity of geometrically local stoquastic Hamiltonians [pdf].
  Asad Raza, Jens Eisert, Alex B. Grilo.
  Quantum (2026).

• Online learning of quantum processes [pdf].
  Asad Raza, Matthias C. Caro, Jens Eisert, Sumeet Khatri.
  TQC 2025, Long Oral Talk at QTML 2024.

• ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms [pdf]
  Manuel S. Rudolph, Sukin Sim, Asad Raza, Michal Stechly, Jarrod R. McClean, Eric R. Anschuetz, Luis Serrano, Alejandro Perdomo-Ortiz.

• When does reinforcement learning stand out in quantum control? A comparative study on state preparation [pdf]
  Xiao-Ming Zhang, Zezhu Wei, Raza Asad, Xu-Chen Yang, Xin Wang.
  npj Quantum Information 2019.

Talks

• Distinctness threshold for pseudorandom unitaries

  • Talk at QMIO group seminar, FU Berlin, 06th August 2026.

• Online Learning of quantum processes.

  • Invited Talk at Foxconn Research, Taiwan, 15th November 2024.
  • Invited Talk at QAISG QML Seminar, Center for Quantum Technologies, National University of Singapore, 22nd October 2024.
  • Columbia Quantum seminar, Columbia University, New York, 15th November 2023.
  • QuICS Special Seminar, University of Maryland, College Park, 7th November 2023.
  • Quantum seminar, Tufts University, Boston, 27th October 2023.

• MA-hardness of geometrically local stoquastic Hamiltonians.

  • AlgoComp seminar, IRIF, Paris, 10th October 2023.
  • Quantum days at AMU workshop, CIRM, Marseille, 20th September, 2023.

• When does reinforcement learning stand out in quantum control? A comparative study on state preparation. Invited talk at Washington Quantum Computing Meetup, May 27th, 2021.