scholarly article by J. Kempe & Thomas Vidick published 2010 in Lecture Notes in Physics
Quantum advantage is here. The next question is where to apply it. New updates from the Quantum Optimization Working Group offer a glimpse at the path ahead.
Novel algorithms and community benchmarking efforts are reshaping how researchers search for advantage in quantum optimization.
Researchers at IBM created an LLM-guided evolutionary framework that quickly found 465 distinct quantum error correction code candidates.
The brilliance of this algorithm, which underlies the modern internet, is in how it organizes information.
At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.
At Think 2026, IBM Research leadership emphasized that useful quantum computing is already here.
IBM Research’s partnerships with MIT, ETH Zurich, and the University of Illinois will lead to next-generation AI and quantum algorithms and applications.
Researchers are already combining CPUs, GPUs, and QPUs into demonstrations of quantum-centric supercomputing
