Mustafa Emre Sahin

According to our database, Mustafa Emre Sahin authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Quantum resources in resource management systems.

Iskandar Sitdikov, Mustafa Emre Sahin, Utz Bacher, Aleksander Wennersteen, Andrew Damin, Mark Birmingham, Philippa Rubin, Stefano Mensa, Matthieu Moreau, Aurelien Nober, Hitomi Takahashi, Munetaka Ohtani

CoRR, June, 2025

Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators.

Mustafa Emre Sahin, Edoardo Altamura, Oscar Wallis, Stephen P. Wood, Anton Dekusar, Declan Millar, Takashi Imamichi, Atsushi Matsuo, Stefano Mensa

CoRR, May, 2025

Quantum Machine Learning for Minimal Omics Datasets with Large Feature Space Using Embeddings and Feature Selection Techniques.

Mustafa Emre Sahin, Matthew Madgwick, James Strudwick, Vivek Sehra, Oscar Wallis, Hamed Javidi, Anna Paola Carrieri, Laxmi Parida, Lara Jehi, Stefano Mensa, Filippo Utro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.

Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Stefano Mensa, Jan Lukas Robertus

Quantum, 2024

Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges.

Hakan Doga, Mustafa Emre Sahin, Joao H. Bettencourt-Silva, Anh Pham, Eunyoung Kim, Alan Andress, Sudhir Saxena, Aritra Bose, Laxmi Parida, Jan Lukas Robertus, Hideaki Kawaguchi, Radwa Soliman, Daniel Blankenberg

CoRR, 2024

2023

Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage.

Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Mach. Learn. Sci. Technol., March, 2023

A Bayesian Optimization Through Sequential Monte Carlo and Statistical Physics-Inspired Techniques.

Anton Lebedev, Mustafa Emre Sahin, Thomas Warford

Proceedings of the Computational Science - ICCS 2023, 2023

2021

Usability of Markov Chain Monte Carlo Preconditioners in Practical Problems.

Mustafa Emre Sahin, Anton Lebedev, Maksims Abalenkovs, Vassil Alexandrov

Proceedings of the 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2021

2020

Empirical Analysis of Stochastic Methods of Linear Algebra.

Mustafa Emre Sahin, Anton Lebedev, Vassil Alexandrov

Proceedings of the Computational Science - ICCS 2020, 2020