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ORCIDShamminuj Aktar
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2020 – today
- 2024
[i5]Shamminuj Aktar, Andreas Bärtschi, Diane Oyen, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy:
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation. CoRR abs/2405.08100 (2024)- 2023
- [c4]Shamminuj Aktar
, Abdel-Hameed A. Badawy, Andreas Bärtschi, Stephan J. Eidenbenz:
Scalable Experimental Bounds for Dicke and GHZ States Fidelities. CF 2023: 176-184 - [c3]Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa, Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Nishant Panda, Nirmal Prajapati, Nazmul Haque Turja, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy:
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. ICPADS 2023: 1975-1982 - [c2]Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Diane Oyen, Stephan J. Eidenbenz:
Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network. QCE 2023: 401-402 - 2022
- [c1]Shamminuj Aktar, Abdel-Hameed A. Badawy, Nandakishore Santhi:
Quantum Netlist Compiler (QNC). HPEC 2022: 1-7 - [i4]Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy:
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. CoRR abs/2202.07798 (2022) - [i3]Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz:
Scalable Experimental Bounds for Entangled Quantum State Fidelities. CoRR abs/2210.03048 (2022) - 2021
- [i2]Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz:
A Divide-and-Conquer Approach to Dicke State Preparation. CoRR abs/2112.12435 (2021)
2010 – 2019
- 2016
- [i1]Jarin Firose Moon, Shamminuj Aktar, M. M. A. Hashem:
Securely Outsourcing Large Scale Eigen Value Problem to Public Cloud. CoRR abs/1609.01410 (2016)
Coauthor Index
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