6 papers
Cognition in Superposition: Quantum Models in AI, Finance, Defence, Gaming and Collective Behaviour
Ivan S. Maksymov
At first glance, quantum mechanics and behavioural science seem worlds apart -- one rooted in equations and particles, the other in thoughts and choices. Yet, emerging research rev…
Resonant-Tunnelling Diode Reservoir Computing System for Image Recognition
A. H. Abbas, Hend Abdel-Ghani, Ivan S. Maksymov
As artificial intelligence continues to push into real-time, edge-based and resource-constrained environments, there is an urgent need for novel, hardware-efficient computational m…
Quantum-Cognitive Tunnelling Neural Networks for Military-Civilian Vehicle Classification and Sentiment Analysis
Milan Maksimovic, Anna Bohdanets, Immaculate Motsi-Omoijiade +2
Prior work has demonstrated that incorporating well-known quantum tunnelling (QT) probability into neural network models effectively captures important nuances of human perception,…
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
Hend Abdel-Ghani, A. H. Abbas, Ivan S. Maksymov
The rising computational and energy demands of artificial intelligence systems urge the exploration of alternative software and hardware solutions that exploit physical effects for…
Quantum-tunnelling deep neural network for optical illusion recognition
Ivan S. Maksymov
The discovery of the quantum tunnelling (QT) effect -- the transmission of particles through a high potential barrier -- was one of the most impressive achievements of quantum mech…
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Milan Maksimovic, Ivan S. Maksymov
Modern machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy. However, like many computer software systems, they can fail by generating…