Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

New evidence suggests a rare triplet superconductor may help quantum computers stay in sync by preserving electron spin ...

Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

Quantum computers need special materials called topological superconductors—but they’ve been notoriously difficult to create. Researchers have now shown they can trigger this exotic state by subtly ...

Scientists at the Institute of Physics at the Chinese Academy of Sciences have directly ...

Light does not “think” in any human sense. Still, under the right conditions, it can behave in a way that looks uncannily like a memory system.

Quantum computing is moving from lab curiosity to practical tool far faster than most people realize, and the shift could reorder entire industries in a single decade. Instead of incremental gains, ...

Your phone finishes your sentences, your camera detects faces and your streaming app suggests songs you never thought you would want, thanks to classical AI systems. These are powerful logic engines: ...