How to Keep Quantum Information Alive for Machine Learning

# Quantum Computers Could Transform Machine Learning—If Scientists Can Stop Them From Breaking Quantum computers promise to solve certain problems far faster than today's machines, but they have a critical weakness: the information they process is extremely fragile and degrades quickly due to interference from heat and electromagnetic noise. Researchers are developing error-correction techniques to protect quantum data long enough for it to be useful, which is essential before quantum computing can tackle real business problems at scale.