Quantum computers are coming. And when they arrive, they are going to upend the way we protect sensitive data. Unlike classical computers, quantum computers harness quantum mechanical effects — like ...

The year isn't over yet, but we've already seen record-breaking quantum computers, skyrocketing levels of investment, and demonstrations of real-world benefits. In all the hype about AI it can be easy ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

IBM (NYSE:IBM) said it can run a vital quantum computing algorithm on commonly available chips from Advanced Micro Devices (NASDAQ:AMD), Reuters reported. Jay Gambetta, the IBM vice president running ...

SAN FRANCISCO (Reuters) -IBM said on Friday it can run a key quantum computing error correction algorithm on commonly available chips from Advanced Micro Devices, a ...

Google has demonstrated a 13,000 times speedup for the Quantum Echoes algorithm using its Willow quantum chip. The feat is repeatable, according to the company, and it paves the way toward real-world ...

Alphabet Inc.’s Google ran an algorithm on its “Willow” quantum-computing chip that can be repeated on similar platforms and outperform classical supercomputers, a breakthrough it said clears a path ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it on another quantum computer. When you purchase through links on our site, we ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...