This repository contains projects that demonstrate advanced techniques in unsupervised and supervised learning, as well as quantum computing and quantum neural networks. The work presented here ...

Vision: The QuantumMind Nexus envisions a future where the seamless integration of quantum computing and neural networks leads to a quantum leap in human cognition. We aspire to unravel the deepest ...

Using quantum concepts like superposition and entanglement, quantum-enhanced neural networks (QENN) combine machine learning (ML) and quantum computing to improve neural network performance. They are ...

Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers ...

With the rapid development of quantum computing, a variety of quantum convolutional neural networks (QCNNs) are proposed. However, only 1/2n2 features of an n -qubits input are transferred to the next ...

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link ...

One of the most common requests I get from readers is to demonstrate a neural network implemented using the Python programming language. The use of Python appears to be increasing steadily. If you ...