Researchers at Peking University have successfully improved the range of quantum communication network to thousands of miles and hundreds of customers.

Quantum Computing Inc. (QUBT) is well-capitalized but must prove it can convert R&D and photonics expertise into sustainable commercial growth. QUBT's TFLN foundry and recent Luminar Semiconductor ...

Media coverage of the threat posed by quantum computing usually identifies cryptocurrencies as a key area of classical cryptography that will be effortlessly broken when the technology hits the ...

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 ...

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 ...

Quantum computing is the icing on the cake for this company. Some technologies reshape the world. We've seen several of them rise to prominence in the last few decades, including the personal computer ...

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 ...

What is it about quantum computers that makes them more powerful than conventional machines? A new experiment shows that the property of “quantum contextuality” may be a key ingredient. Quantum ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...