Ammar Daskin

Istanbul Medeniyet University — Turkey

Computer Science · Physical Sciences

6h-index181citations44works0.22yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Quantum Computing Algorithms and Architecture(38), Quantum Information and Cryptography(24), Quantum-Dot Cellular Automata(8), Quantum and electron transport phenomena(6), Neural Networks and Reservoir Computing(6)

Publications44 total

Quantum Distortion Model for Running Variational Quantum Algorithms without Error Corrections
2025Open Access
Learnable quantum spectral filters for hybrid graph neural networks
2025Open Access
Dimension reduction with structure-aware quantum circuits for hybrid machine learning
2025Open Access
Dimension reduction with structure-aware quantum circuits for hybrid machine learning
arXiv (Cornell University)·2025Open Access
Error analysis of quantum operators written as a linear combination of permutations
Quantum Information Processing·2025· 1 citedOpen Access
From Theory to Practice: Analyzing Variational Quantum Power Method for Quantum Optimization of QUBO Problems
arXiv (Cornell University)·2025Open Access
Quantum RNNs and LSTMs Through Entangling and Disentangling Power of Unitary Transformations
arXiv (Cornell University)·2025Open Access
Quantum Simulations Based on Parameterized Circuit of an Antisymmetric Matrix
arXiv (Cornell University)·2025Open Access
An alternative explicit circuit diagram for the quantum search algorithm by implementing a non-unitary gate
arXiv (Cornell University)·2024Open Access
Error analysis of quantum operators written as a linear combination of permutations
arXiv (Cornell University)·2024Open Access
A unifying primary framework for QGNNs from quantum graph states
The European Physical Journal Special Topics·2024· 1 cited
Quantum Kolmogorov-Arnold networks by combining quantum signal processing circuits
arXiv (Cornell University)·2024Open Access
A quantum compiler design method by using linear combinations of permutations
arXiv (Cornell University)·2024Open Access
A unifying primary framework for quantum graph neural networks from quantum graph states
arXiv (Cornell University)·2024Open Access
Federated learning with distributed fixed design quantum chips and quantum channels
arXiv (Cornell University)·2024· 1 citedOpen Access
A Simple Quantum Blockmodeling with Qubits and Permutations
arXiv (Cornell University)·2023Open Access
Dimension Reduction and Redundancy Removal through Successive Schmidt Decompositions
Applied Sciences·2023· 5 citedOpen Access
Dimension reduction and redundancy removal through successive Schmidt decompositions
arXiv (Cornell University)·2023Open Access
On the explainability of quantum neural networks based on variational quantum circuits
arXiv (Cornell University)·2023· 2 citedOpen Access
Quantum implementation of circulant matrices and its use in quantum string processing
arXiv (Cornell University)·2022· 2 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Sabre Kais(14), Ananth Grama(5), Jonathan P. Dowling(3), Katherine L. Brown(2), Giorgos Kollias(1), Rishabh Gupta(1), Rishabh Gupta(1), Teng Bian(1), Daniel C. Murphy(1), Rongxin Xia(1), Kate Brown(1), George Kollias(1)