Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

Participants will code, simulate, and benchmark advanced quantum algorithms while applying Quantum Machine Learning (QML) to practical, real-world scenarios.

In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...

IBM’s success in running quantum error correction on standard AMD chips marks a pivotal moment — proving that practical ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as ...

Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

Some of the key interactions between IP law and quantum computing involve the intersection of patents and copyright—each of which impacts how companies protect quantum computing hardware and software, ...

If we become quantum tomorrow, data is lost today. Quantum comes down to size and efficiency. Current computers approach ...

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

Much ink has been spilled discussing what the career prospects are for a CS graduate in this age where generative AI has ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

Hardware Google claims it has made a 'major breakthrough' in quantum computing with an algorithm 13,000X faster than a ...