Prof. Zoë Holmes

Zoë Holmes received in 2015 her MPhil degree in Physics and Philosophy from the University of Oxford. In 2016 she obtained her MRes (Master of Research) from the Imperial College London, where in 2019 she got her PhD in quantum thermodynamics. In 2020 she started as a Postdoctoral Researcher at Los Alamos National Laboratory (USA) working on quantum algorithms and quantum machine learning methods for Noisy Intermediate-Scale Quantum (NISQ) computers. In 2021 she became the Mark Kac Fellow at Los Alamos National Lab. Since August 2022 she is Tenure Track Assistant Professor of Physics at EPFL.

 

Main Publications

  • Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles & Zoë Holmes. 2023. “Out-of-distribution generalization for learning quantum dynamics” https://www.nature.com/articles/s41467-023-39381-w
  • Holmes, Zoë, Kunal Sharma, M. Cerezo, and Patrick J. Coles. 2022. “Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus.” PRX Quantum 3 (1): 010313. https://doi.org/10.1103/PRXQuantum.3.010313.
  • Cîrstoiu, Cristina, Zoë Holmes, Joseph Iosue, Lukasz Cincio, Patrick J. Coles, and Andrew Sornborger. 2020. “Variational Fast Forwarding for Quantum Simulation beyond the Coherence Time.” Npj Quantum Information 6 (1): 1–10. https://doi.org/10.1038/s41534-020-00302-0.
  • Holmes, Zoë, Andrew Arrasmith, Bin Yan, Patrick J. Coles, Andreas Albrecht, and Andrew T. Sornborger. 2021. “Barren Plateaus Preclude Learning Scramblers.” Physical Review Letters 126 (19): 190501. https://doi.org/10.1103/PhysRevLett.126.190501.