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, ...

At select points last year, trailing 12-month gains for quantum computing stocks IonQ, Rigetti Computing, D-Wave Quantum, and Quantum Computing Inc. reached as much as 6,200%! Investors have become ...

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 ...

Quantum computing promises a new generation of computers capable of solving problems hundreds of millions of times more quickly than today’s fastest supercomputers. This is done by harnessing spooky ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

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 ...

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 ...