Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
M Maksimovic, IS Maksymov - arXiv preprint arXiv:2412.08010, 2024 - arxiv.org
Modern machine learning (ML) systems excel in recognising and classifying images with
remarkable accuracy. However, like many computer software systems, they can fail by …
remarkable accuracy. However, like many computer software systems, they can fail by …
Krylov Expressivity in Quantum Reservoir Computing and Quantum Extreme Learning
Quantum machine learning utilizes the high-dimensional space of quantum systems,
attracting significant research interest. This study employs Krylov complexity to analyze task …
attracting significant research interest. This study employs Krylov complexity to analyze task …
Memory-Augmented Hybrid Quantum Reservoir Computing
Reservoir computing (RC) is an effective method for predicting chaotic systems by using a
high-dimensional dynamic reservoir with fixed internal weights, while keeping the learning …
high-dimensional dynamic reservoir with fixed internal weights, while keeping the learning …
[PDF][PDF] NANOTECHNOLOGY MEETS QUANTUM COMPUTING: ADVANCING QUANTUM BITS (QUBITS) AND DEVICES FOR NEXT GENERATION COMPUTING
Purpose: This work aims to understand the relevance of nanotechnology in the
enhancement of quantum computing with an emphasis on the perceptions of workers in the …
enhancement of quantum computing with an emphasis on the perceptions of workers in the …