Computing

Explore how quantum computing is reshaping AI — from faster problem solving to new algorithms and real-world uses like drug discovery, finance, and optimization.

Quantum Innovations Lab unveils a quantum chip with record coherence and improved error correction, accelerating practical progress toward quantum AI applications.

UPenn researchers demonstrate on-chip transfer of photonic quantum skyrmions to entangled states, showing topological noise resilience for distributed quantum networks.

Universal Quantum raised over $100M in Series A to scale its modular ion trap architecture and expand R&D in Singapore, US, Japan and Germany.

A clear look at hybrid quantum systems that combine superconducting qubits and microwave cavities to simulate fermions and bosons more efficiently for particle physics research.

Qiskit and other quantum SDKs now expose C APIs and native bindings for Fortran, C++, and Julia, allowing direct hybrid quantum-classical workflows in HPC.

planqc won the Made in Europe Award (Commercialising) for its neutral-atom quantum systems. Read how its 100- and 1,000-qubit projects, partnerships, and European roots bolster technological sovereignty.

Researchers demonstrate an error-suppressed logical qubit using bosonic encoding and low-loss hardware, marking a key step toward scalable, practical quantum processors.

How quantum computing can reduce AI’s energy footprint, DOE funding to accelerate fault-tolerant machines, and quantum innovations for clean energy.

A concise guide to quantum computing: qubits, real-world applications in medicine, energy, logistics and finance, the main technical hurdles, and the practical future with cloud platforms.