Nvidia Ising and DARPA's Heterogeneous Architectures for Quantum Program
Nvidia launched its open‑source Ising family of AI models on World Quantum Day, targeting quantum‑processor calibration and real‑time error‑correction decoding. The company argues that large‑language models can turn today’s noisy quantum chips into reliable, large‑scale computers. Meanwhile, DARPA’s Heterogeneous Architectures for Quantum (HARQ) program selected IonQ to develop a networked system that fuses trapped‑ion, neutral‑atom and superconducting qubits via photonic links. Both announcements signal a coordinated push to marry AI advances with heterogeneous quantum hardware to accelerate commercialization.
A Quantum Apocalypse Is Coming for the Internet
Google’s quantum research team released a white paper showing it can break 256‑bit elliptic‑curve cryptography using roughly 20 times fewer physical qubits than previously estimated. The breakthrough threatens the cryptographic foundations of most blockchains and many internet security protocols. The article...