Integrating Artificial Intelligence and Quantum Computing: A Systematic Literature Review of Features and Applications

Published: Jan. 1, 2025

Language: Английский

Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(1), P. 12 - 12

Published: Jan. 14, 2025

Contemporary machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy. However, like many computer software systems, they can fail by generating confusing or erroneous outputs deferring to human operators interpret the results make final decisions. In this paper, we employ recently proposed quantum tunnelling neural networks (QT-NNs) inspired brain processes alongside cognition theory classify image datasets while emulating perception judgment. Our findings suggest that QT-NN model provides compelling evidence of its potential replicate human-like decision-making. We also reveal be trained up 50 times faster than classical counterpart.

Language: Английский

Reservoir computing with state-dependent time delay

Physical review. E, Journal Year: 2025, Volume and Issue: 111(3)

Published: March 27, 2025

We examine a new design of reservoir computing based on an otherwise linear dynamical system subject to feedback in which delay time linearly depends the system's state. Despite apparent linearity under casual perusal, nonetheless possesses nonlinearity that can be used for time-delay computing. find close multiple Hopf bifurcation points lead rich sawtooth-shaped transient response input signals, beneficial capabilities. benchmark memory capacity and performance solving delayed XOR, Iris flower classification tasks, Santa Fe time-series prediction task. demonstrate how tuned by changing dependence.

Language: Английский