Recognizing the potential of these modular systems, researchers from The Grainger College of Engineering at the University of ...

This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools ...

So, the question that arises is, how do we use AI effectively to support their investigations? With this question in mind, a team of researchers has already started work on finding a solution for a ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Furthermore, quantum machine learning algorithms can also be utilized in areas such as cybersecurity, smart manufacturing, and energy management, delivering efficient data analysis and ...

shenzhen, May 20, 2025-- Shenzhen, May. 20, 2025/–– MicroAlgo Inc., announced that quantum algorithms will be deeply integrated with machine learning to explore practical application scenarios ...

Machine learning and quantum computing are both areas with considerable progress in recent years. The combination of these disciplines holds great promise for both research and practical applications.

Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...

In this talk, we will explore a quantum-classical generative modeling framework designed to enhance molecular design by leveraging quantum computing. By integrating quantum algorithms with established ...