Jan 1, 2015 · We propose in this paper a new type of neural networks, named a quantum artificial neural network (QANN), which is presented as a system of interconnected “ ...

In this paper, we propose an analog of a CANN, named a quantum artificial neural network (QANN), and prove that every continuous mapping that maps n quantum ...

Combining the advantages of quantum computers and the idea of CANNs, we propose in this paper a new type of neural networks, named a quantum artificial neural ...

Oct 22, 2024 · In this paper, a novel neural network is proposed based on quantum rotation gate and controlledNOT gate. Both the input layer and the hide ...

Aug 2, 2021 · This paper explains the backgrounds and basic principles of quantum deep learning and also introduces major achievements.

Dec 14, 2022 · In this paper, we introduce two new quantum methods for neural networks. The first one is a quantum orthogonal neural network, which is based on a quantum ...

Aug 23, 2014 · The UAT implies that a QANN may be a potential computing tool for dealing with quantum information. Since simulations of classical artificial ...

Dec 15, 2022 · Research in this subject takes three broad forms: applications of classical ML techniques to quantum physical systems; application of quantum ...

This notebook demonstrates different quantum neural network (QNN) implementations provided in qiskit-machine-learning, and how they can be integrated into ...

Sep 4, 2023 · Quantum machine learning (QML) is an interdisciplinary field that applies quantum computing to traditional machine learning tasks.