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ORCIDMustafa Emre Sahin
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2020 – today
- 2024
[i3]Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa:
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. CoRR abs/2401.02879 (2024)- [i2]Anton Lebedev, Thomas Warford, Mustafa Emre Sahin:
A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques. CoRR abs/2409.03094 (2024) - 2023
- [j1]Stefano Mensa
, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. Mach. Learn. Sci. Technol. 4(1): 15023 (2023) - [c3]Anton Lebedev, Mustafa Emre Sahin, Thomas Warford:
A Bayesian Optimization Through Sequential Monte Carlo and Statistical Physics-Inspired Techniques. ICCS (5) 2023: 621-628 - 2022
- [i1]Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage. CoRR abs/2204.04017 (2022) - 2021
- [c2]Mustafa Emre Sahin, Anton Lebedev, Maksims Abalenkovs, Vassil Alexandrov:
Usability of Markov Chain Monte Carlo Preconditioners in Practical Problems. ScalA@SC 2021: 44-49 - 2020
- [c1]Mustafa Emre Sahin, Anton Lebedev, Vassil Alexandrov:
Empirical Analysis of Stochastic Methods of Linear Algebra. ICCS (7) 2020: 539-549
Coauthor Index
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