Interactive Python toolkit for topological quantum neural networks: noise-resilient classification via spin-network encoding, with three real-time visualization GUIs. Controlled interpolation between ...

Abstract: There is an increasing interest in the area of quantum computing but developing quantum algorithms is difficult. Neural Network augmented search algorithms have proven quite successful for ...

MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...

Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in ...

Neuromorphic computing, which is inspired by brain neural mechanisms and cognitive behavior mechanisms by means of computational modeling, is emerging with the promise of transforming information ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Abstract: Quantum computer has shown the advantage over the classical computer to solve some problems using the laws of quantum mechanics. With a combination of knowledge of machine learning and ...

Artificial intelligence of modern technology brain in laptop. Artificial intelligence of modern technology brain in laptop. Isolated concept device with message box using ai and new processor. Vector ...

In this paper, a novel neural network is proposed based on quantum rotation gate and controlled- NOT gate. Both the input layer and the hide layer are quantum-inspired neurons. The input is given by ...