Novel algorithms and community benchmarking efforts are reshaping how researchers search for advantage in quantum optimization.

Researchers show that serving AI models with llm-d can boost inference speeds by up to 5 times and double throughput — all while using heterogeneous GPUs.

See how top researchers used IBM Quantum Credits to develop new methods that extend today’s quantum hardware.

Insurance involves hard problems with complex, correlated risks. Allstate and IBM are showing how quantum could help solve them.

Researchers at IBM created an LLM-guided evolutionary framework that quickly found 465 distinct quantum error correction code candidates.

Open-source Python library for fast simulation of fermionic quantum circuits enables efficient prototyping and benchmarking for real quantum hardware.

Enabling semantic query processing in Db2 for digital sovereignty

The brilliance of this algorithm, which underlies the modern internet, is in how it organizes information.

Introducing IBM Granite Libraries and Project Granite Switch: bringing the rigor and modularity of software engineering to LLMs.

IBM and educational partners outlined which quantum advancements excite them and explained why it’s never too early to get on board.

Apply to host a Qiskit Fall Fest 2026 event and lead a global quantum computing experience on your campus or in your community.

The investment will fund R+D, capital expenditure, manufacturing scaling, ecosystem partnerships, and strategic acquisitions.

Classroom Accounts are a new way for educators to give large groups of students free, hands-on access to real quantum computers.

Sign up for Qiskit Global Summer School 2026: A decade on the cloud — a free, virtual program for learning quantum computing with Qiskit.

New demonstration of a 52-qubit quantum Fourier transform shows how ecosystem innovation improves algorithm performance on quantum hardware.

We spoke with IBM’s David Cox about the lab's evolution and what it takes for an industry-academia collaboration to succeed.

At Think 2026, IBM Research leadership emphasized that useful quantum computing is already here.

A new video from IBM shows how quantum and classical hardware work in tandem to perform massive calculations that can help unlock materials science mysteries.