Scholar
Eliska Greplova
Google Scholar ID: WIPqU4gAAAAJ
Delft University of Technology
Citations & Impact
Citations
767
H-index
15
i10-index
17
Publications
20
Co-authors
63
list available
Publications
Resume (English only)
Academic Achievements
- October 2025: Ana released a preprint 'Every Benchmark All at Once', showing how to use gate-set-shadow tomography to get maximum from benchmarking techniques.
- October 2025: Released DELFT CHARGE STABILITY DATASET, nearly 10k charge stability diagrams.
- October 2025: Dima, Stan, Jin, Juan, Badr, Sibren, and Naoual released a preprint 'Why is topology hard to learn?', showing how to build trainable machine learning objects that learn topology exactly.
- September 2025: Created an open interactive textbook for learning how to tackle physics problems through programming in Python.
- September 2025: Tom released a preprint, developing a continuous equivariant ansatz that accurately finds ground states of SU(2) lattice gauge theory in 2+1D and 3+1D.
- August 2025: Vini's quantum generative model for neuroscience was published in Cell Reports Physical Science and highlighted in Biophysics Collection of CRPS.
- July 2025: Worked with Christian Kraglund Andersen to figure out how to implement qLDPC codes on contemporary superconducting and spin qubit quantum devices.
- July 2025: Ana's randomized benchmarking tutorial was published in SciPost Physics Lecture Notes.
- June 2025: Contributed to the Vandersypen Lab's project on high-fidelity spin shuttling, now published in Nature Nanotechnology.
- June 2025: Published a book 'Machine Learning in Quantum Sciences' by Cambridge University Press.
- April 2025: Vini, Tom, and Saqar got a spotlight paper at the ICLR Workshop on Neural Network Weights as a New Data Modality 2025.
- March 2025: Sam, Valentina, and collaborators published a unified tuning framework for high fidelity operation of spin qubits on arXiv.
- March 2025: Arash successfully defended his PhD thesis.
- February 2025: Tom, Arash, and Bokai published their research on quantum resources of quantum and classical variational methods in Machine Learning: Science and Technology.
- January 2025: Valentina, Charles, and Vini published QDsim in SciPost Physics Codebases.
- December 2024: Joey Rogers, Sam Katiraee-Far, and Saqar Khaleefah successfully defended their master theses.
Research Experience
- Leading the QMAI group at Kavli Institute of Nanoscience (TU Delft), focusing on quantum devices, artificial intelligence, and topology in condensed matter physics.
Background
- A physicist interested in quantum devices, artificial intelligence, and topology in condensed matter physics. Leading the Quantum Matter and AI (QMAI) group at Kavli Institute of Nanoscience (TU Delft).
Miscellany
- Can be reached via email: e.greplova@tudelft.nl.
