Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks

T Mahmood, JA Darwish, T Hussain… - Advances in High …, 2024 - Wiley Online Library
In this study, we solved the Schrödinger wave equation by using effective potential in an
artificial neural network (ANN) for the mass spectrum of different charmonium states …

Confined hydrogen atom: endohedrals H@ C36 and H@ C60

H Olivares-Pilón, AM Escobar-Ruiz… - Machine Learning …, 2023 - iopscience.iop.org
In this work, for the lowest states with angular momentum, l= 0, 1, 2 the energies and
eigenfunctions of the endohedrals H@ C36 and H@ C60 are presented. The confining …

Quantum Computer Architecture: A Quantum Circuit-Based Approach Towards Quantum Neural Network

T Mahmood, T Hussain, M Ahmed - Proceedings of the Pakistan …, 2023 - ppaspk.org
According to recent research on the brain and cognition, the microtubule level activities in
the brain are in accordance with the quantum mechanical concepts. Consciousness is the …

On the quartic anharmonic oscillator and the Padé-approximant averaging method

VA Babenko, NM Petrov - Modern Physics Letters A, 2022 - World Scientific
For the quantum quartic anharmonic oscillator with the Hamiltonian H= 1 2 (p 2+ x 2)+ λ x 4,
which is one of the traditional quantum-mechanical and quantum-field-theory models, the …

Deep learning neural network for approaching Schrödinger problems with arbitrary two-dimensional confinement

A Radu, CA Duque - Machine Learning: Science and Technology, 2023 - iopscience.iop.org
This article presents an approach to the two-dimensional Schrödinger equation based on
automatic learning methods with neural networks. It is intended to determine the ground …

Quantum data classification by a dissipative protocol with a superconducting quantum circuit implementation

U Korkmaz, C Sanga, D Türkpençe - International Congress of Electrical …, 2022 - Springer
Artificial intelligence (AI) and machine learning (ML) have begun to include promising
methods for solving real-world problems. However, the power of these methods is limited by …

ПРО БІКВАДРАТИЧНИЙ АНГАРМОНІЧНИЙ ОСЦИЛЯТОР–ПІДХІД У РАМКАХ РОЗКЛАДУ ПО ОСЦИЛЯТОРНОМУ БАЗИСУ. I. ДОСЛІДЖЕННЯ ТА РОЗРАХУНОК …

ВА Бабенко, ОВ Нестеров - Nuclear Physics & Atomic …, 2024 - search.ebscohost.com
H px=+ Показано дуже хорошу збіжність розрахованих рівнів енергії ангармонічного
осцилятора залежно від кількості врахованих у розкладі базисних функцій для …

A thermal quantum classifier

U Korkmaz, D Türkpençe, TC Akıncı… - arXiv preprint arXiv …, 2019 - arxiv.org
A data classifier is the basic structural unit of an artificial neural network. These classifiers,
known as perceptron, make an output prediction over the linear summation of the input …

Development and refinement of the Variational Method based on Polynomial Solutions of Schrödinger Equation

F Maiz - Open Engineering, 2020 - degruyter.com
The variational method is known as a powerful and preferred technique to find both
analytical and numerical solutions for numerous forms of anharmonic oscillator potentials. In …

Ядерна фізика та енергетика Nuclear Physics and Atomic Energy

AI Levon, P Alexa, S Pascu, PG Thirolf - Nucl. Phys, 2016 - jnpae.kinr.kyiv.ua
A new statistical interpretation of the nuclear collective states is suggested and applied to
analysis of states, found recently in rare earths and actinide nuclei by the two-neutron …