Attila Cangi

According to our database, Attila Cangi authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Bridging the gap in electronic structure calculations via machine learning.

Attila Cangi

Nat. Comput. Sci., October, 2024

Accelerating Electron Dynamics Simulations through Machine Learned Time Propagators.

Karan Shah, Attila Cangi

CoRR, 2024

2023

Physics-enhanced neural networks for equation-of-state calculations.

Timothy J. Callow, Jan Nikl, Eli Kraisler, Attila Cangi

Mach. Learn. Sci. Technol., December, 2023

A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification.

Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal

Appl. Soft Comput., March, 2023

Random Quantum Neural Networks for Noisy Image Recognition.

Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Deep Spiking Quantum Neural Network for Noisy Image Classification.

Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Training-free hyperparameter optimization of neural networks for electronic structures in matter.

Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi

Mach. Learn. Sci. Technol., December, 2022

A Scalable 5, 6-Qubit Grover's Quantum Search Algorithm.

Dinesh Reddy Vemula, Debanjan Konar, Sudeep Satheesan, Sri Mounica Kalidasu, Attila Cangi

CoRR, 2022

Random Quantum Neural Networks (RQNN) for Noisy Image Recognition.

Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi

CoRR, 2022

atoMEC: An open-source average-atom Python code.

Timothy J. Callow, Daniel Kotik, Eli Kraisler, Attila Cangi

Proceedings of the 21st Python in Science Conference 2022, 2022

2020

Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks.

J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam

CoRR, 2020