The practical assessment of quantum computing by tech leaders requires knowledge of how quantum computing differs from classical computing systems.

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.

Quantum machine learning is a highly promising application for quantum computing. The hybrid quantum-classical convolutional neural networks (QCCNN) employs parameter quantum circuit to enhance ...

AlphaQubit, a recurrent-transformer neural network, outperforms state-of-the-art decoders in quantum error correction, enhancing surface code decoding accuracy.

Quantum resources for artificial intelligence Memristors are thought to be valuable in neural networks, which typically require large amounts of training data to operate effectively. An architecture ...

European researchers are developing quantum computers using light and glass, in a collaboration that promises breakthroughs in computing power, battery technology and scientific discovery.

For example, when using the quantum processor to reconstruct lightning data, they found it did a better job at lower altitudes but was generally comparable to the classical neural network.

Deep tech Could quantum neural networking lead to human immortality? Probably not... but it'd be super cool! May 10, 2021 - 10:07 pm There’s no proof you’re going to die.

Figure illustrating the architecture of the quantum convolutional neural networks developed by the researchers. Credit: Cong, Choi & Lukin.

One thing to note is that the 150 lines quoted includes comments, so the actual code bulk is even less. The majority of the program handles the quantum register and a generic way to apply a matrix ...