Quantum is almost here, but organizations are not ready. Experts urge moving from 128-bit to 256-bit encryption ASAP. Another looming issue: quantum skills. Quantum computing is making our future ...

This article is part of a package on the future of quantum computing. Read about the most promising applications of these machines here and see an illustrated field guide to qubits here. Inside a ...

After a rough start to the year, America’s four major publicly traded quantum computing companies are surging once again. The latest rally kicked off about a month ago, right around World Quantum Day, ...

It could be years until quantum computing delivers on its promise to revolutionize everything from financial trading to drug discovery. But that’s not stopping the companies developing quantum ...

The Bitcoin community continues to debate whether cryptographically relevant quantum computers are imminent or decades away. Project Eleven, a quantum security research company, awarded a prize to ...

Cisco today unveiled a prototype switch it says will significantly accelerate the timeline for practical, distributed, quantum-computing-based networks. “Today we have quantum computers operating at ...

For quantum computing to reach the point where it is fault-tolerant, scalable, and commercially viable, it’s going to be with the help of key components of advanced computing today, namely AI, open ...

The boss of Europe’s largest quantum computing firm says it is determined to make the engineering breakthroughs that superconducting quantum computers need to become capable of running the ...

Researchers in Innsbruck and Aachen have now proposed and experimentally demonstrated that a universal fault-tolerant quantum algorithm can be executed without such measurements. Using a trapped-ion ...

Abstract: Quantum convolutional neural networks (QCNNs) are a highly appealing architecture that combines quantum computing and deep learning. Inspired by classical convolutional neural network (CNN) ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a study published in Physical Review Letters, a team led by Prof. Peng Xinhua and ...