Abstract: Quantum neural networks (QNNs) are gaining attention as a promising foundation for next-generation machine learning. However, the practical deployment of QNNs, particularly in vision tasks, ...

Suppose you’re a CIO or senior application planner, and you need to understand whether you should dig into quantum computing as a future option. Enterprises themselves are divided on the issue, ...

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 ...

Quantum computing has quietly advanced to a level of maturity and capability that many technologists, and policymakers, still underestimate. Long dismissed as a “future” technology, quantum is already ...

The exponential growth of network complexity, traffic volume and security demands is challenging the scalability of classical automation frameworks. Artificial intelligence (AI) has improved network ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

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 ...

Built from a single erbium atom, a hybrid quantum bit encodes data magnetically and beams it through fiber-optic wavelengths. When you purchase through links on our site, we may earn an affiliate ...

A number of voices question when quantum computing technologies will deliver true business value, but IT and networking giant Cisco says that through new networking application demos for classical use ...

IBM and AMD are working together to blend Big Blue’s quantum computers with the chipmaker’s CPUs, GPUs and FPGAs to build intelligent, quantum-centric, high-performance computers. The plan is to ...

Abstract: This work explores the integration of quantum computing within a classical Convolutional Neural Network (CNN) framework, leveraging a VGG16 model enhanced with a quantum Convolutional Neural ...