MicroCloud Hologram Inc. is advancing the field of quantum computing through its research into Continuous Variable Quantum Neural Networks (CV-QNN), which aim to embed Variational Quantum Circuits in ...

We introduce efficient tensor network models for sequence processing motivated by correspondence to probabilistic graphical models, interpretability and resource compression. Inductive bias is ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

As an example, we analyze the accuracy of hybrid and classical neural networks with 120 and 124 parameters, respectively, corresponding to the 1-layer, 2-qumode, and 2-hidden neuron networks shown in ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...