When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all. I’m standing in front ...

What do cars, bridges and airplanes have in common? They are all exposed to the open air most of the time and are subjected to the sun’s ultraviolet (UV) radiation. Airplanes are particularly ...

During SAS Innovate 2026 in Dallas, principal quantum systems architect Bill Wisotsky tells ARTHUR GOLDSTUCK what will take ...

Organizations can start leveraging quantum-inspired techniques today to capture meaningful benefits without waiting for the ...

MicroAlgo QAS, by optimizing quantum circuit architectures, can significantly enhance the robustness of VQA in various noisy environments. By automatically searching for suitable circuit designs, QAS ...