Oct 13, 2023 · Artificial neural networks (ANN) have been shown to be effective in various machine learning–based big data analytics challenges.
Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics.
People also ask
What is quantum computer in information processing?
Can quantum computers run neural networks?
What are the 5 main components of quantum computing?
Oct 9, 2024 · There is a belief that quantum computing could revolutionise artificial intelligence and in particular deep learning.
Feb 10, 2020 · Here we propose a truly quantum analogue of classical neurons, which form quantum feedforward neural networks capable of universal quantum computation.
Jul 24, 2025 · After its success in classical computing, scientists wanted to leverage neural networks for quantum computing, which promised to enhance the ...
(PDF) “Overview of Quantum Computing in Quantum Neural ...
www.researchgate.net › publication › 37...
Aug 9, 2023 · This paper explores the fundamental principles of quantum computing, the architecture of QNNs, and their advantages over classical neural networks.
Qubits on quantum computers can be used to detect the hidden patterns in data that are difficult for a classical computer to find. Hence, there exists a huge ...
This work investigates the design, implementation, and performance of PINNs, using the Quantum Processing Unit (QPU) co-processor.
Jan 22, 2025 · Quantum computers will drive AI to new heights, enabling better accuracy and therefore better performance, and scalable sustainable growth.
3 days ago · Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, ...
