IBM Research

.@IBM reveals latest quantum processors—IBM Quantum Loon and IBM Quantum Nighthawk—and all future chips on our quantum development roadmap are being fabricated at the Albany NanoTech Complex (@CNSE) using 300mm semiconductor wafer technology: ibm.co/6012BMukr #QDC25

Advancing molecular discovery with quantum computing. 🧬 Together with prominent academic partners, @IBMResearch used quantum computing to validate the world’s first molecule possessing a half‑Möbius electronic topology. Learn more here → ibm.co/6010EEf1G

@ThreemaApp 🤝

We’re joining forces with @IBMResearch to implement post-quantum cryptography in Threema. 🤝 threema.com/bp/quantum-sec…

Researchers from the Basque Quantum Initiative, @NIST, and @IBM create one of the largest, most sophisticated demonstrations of a time crystal on an IBM Quantum Heron processor: ibm.co/6012DMZwY Full paper published in @Nature Communication here: ibm.co/6014DMZwm

Momentum is building for quantum-centric supercomputing. Results from our partners at @ORNL, @AMD, @RIKEN_en, @AlgorithmiqHQ, and the quantum community are showing how GPUs + QPUs can accelerate workflows and boost the fidelity of quantum computations: ibm.co/6015DKSFW

Researchers from @IBM present the first quantum algorithm capable of efficiently simulating stochastic differential equations, making it the first such algorithm able to simulate chaotic, non‑linear systems — something classical computers struggle with: ibm.co/6012D8FPQ

The real reason most AI models fail 👇 Most AI models don’t fail from lack of intelligence. They fail in production. 💥 @IBMResearch David Cox explains why “boring AI” — efficient, modular, auditable — might be the only kind that truly scales. 📺 YouTube: link.theneurondaily.com/r/JphvZH 🎧 Spotify: link.theneurondaily.com/r/okvA2U 🎙️ Apple Podcast: link.theneurondaily.com/r/vBBAXd #TheNeuron #AIInfrastructure #Granite4 #IBM #EnterpriseAI #AIProduction #MachineLearning #TechPodcast

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@FilippoUtro Congratulations on this milestone, Filippo! 🎉

15 years at @IBMResearch this week! 🥂 From my first project to the most recent, it’s been an incredible ride 🚀✨ A massive thank you to all the amazing people I’ve worked with so far. You’ve made every year worth it! #ProudIBMer

Introducing CUGA: production-grade open agents for real workflows. Groq → real-time speed @huggingface → open models @IBMResearch → enterprise architecture @langflow_ai → builder-friendly tools No patience required.

@IBM Accurately predicting the ground state of complex systems—such as an organic molecule composed of hundreds of mutually interacting particles in a chain—could unlock new research opportunities across fields ranging from chemistry to high-energy physics.

@IBM Their experiments demonstrate that quantum diagonalization algorithms, like Krylov quantum diagonalization” (KQD), are poised to complement their classical counterparts at the foundation of computational methods for quantum systems.

The University of Tokyo and @IBM Research are extending the capabilities of quantum computers to simulate condensed matter with clever algorithm design: ibm.co/6010BcIFj

AI is reshaping industries, but enterprise adoption lags. That's why we're partnering with @kaggle to deliver benchmarks that prove performance under real-world conditions. Learn how to choose AI you can trust: ibm.co/6010BdkM0

📢 We’re excited to partner with @IBMResearch to launch a new benchmark suite called Enterprise Operations (EntOps). This suite contains two benchmarks: ITBench and AssetOpsBench. Check out EntOps here: ​​kaggle.com/benchmarks/ibm…

Today, @IBM and @Cisco announce plans to collaborate on laying the groundwork for a distributed quantum computing network: ibm.co/6011B3DXS Our first milestone: entangling a pair of cryogenically separated quantum processors within the next five years.

Now available to all Qiskit Runtime users, our new utility-scale dynamic circuits are a powerful tool for exploring algorithms and applications that could enable near-term demonstrations of quantum advantage: ibm.co/6048BMUcg

Last week at #QDC25 we unveiled major updates to dynamic circuits — one of the most powerful tools for bringing real-time classical logic directly into quantum execution. The result: faster mid-circuit measurement, ~600 ns feedforward, parallel conditional ops, better timing control, a new MidCircuitMeasure, and 20× faster circuit prep (400× in CPU time). We put it to the test on a 46-site kicked Ising simulation across 106 qubits, seeing a 28% reduction in two-qubit gates per Trotter step and up to 24% better performance vs. unitary circuits.

Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands? The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW): intelligence delivered (capabilities) per unit of power consumed (efficiency). Today’s Local LMs already handle 88.7% of single-turn chat and reasoning queries, with local IPW improving 5.3× in 2 years—driven by better models (3.2×) and better accelerators (1.7×). As local IPW improves, a meaningful fraction of workloads can shift from centralized infrastructure to local compute, with IPW serving as the critical metric for tracking this transition. (1/N)

This week, @StanfordAILab shared findings showing AI is entering a new era: from large models in the cloud to smaller, efficient ones running locally. In tests with IBM Granite 4.0, compact models handled 88.7% of queries, cutting energy and latency. ➡️ ibm.co/6011BMpaF