Quantum Algorithm for Linear Matrix Equations
Google Quantum AI researchers developed a quantum algorithm for solving important classes of linear matrix equations using block-encoding.
We curate and explain the latest research in quantum computing from leading organizations — so you can focus on what matters.
A curated view of the most important and interesting research from across the quantum ecosystem.
Google Quantum AI researchers developed a quantum algorithm for solving important classes of linear matrix equations using block-encoding.
IBM continues advancing scalable quantum processors with improved fidelity, performance, and reduced error rates.
AUG 2026
MICROSOFT
Microsoft researchers explore reinforcement learning to co-design quantum error-correcting codes and decoders, optimizing code structures for decoder performance.
AUG 2026
AMAZON WEB SERVICES
AWS and JPMorganChase explore quantum technologies for complex optimization problems through hybrid quantum-classical methods, algorithms, and experiments.
SEP 2026
NVIDIA
NVIDIA introduces CUDA-Q Logical, a compiler infrastructure designed to connect logical quantum programs with error-correction codes, physical resources, and fault-tolerant execution models.
JAN 2026
INTEL
Researchers demonstrate a programmable six-qubit quantum circuit on a silicon spin-qubit array, highlighting the challenges of scaling semiconductor quantum hardware.