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IBM Quantum is the world’s leading full-stack provider in quantum computing, dedicated to bringing useful quantum computing to the world. IBM Quantum stands out through its robust and scalable quantum hardware, a comprehensive suite of tools and services, and one of the largest fleets of quantum systems available via the cloud. With more than 90 quantum computers deployed globally, users can access these systems to explore, experiment, and build quantum solutions. The platform has supported approximately 4 trillion quantum circuit executions and fostered a vibrant global community of more than 240,000 users and 325+ ecosystem partners. This community has contributed to over 5,900 research publications, highlighting IBM Quantum’s impact across academia, industry, and research. Through continuous innovation and collaboration, IBM Quantum isn’t just advancing computing—it’s redefining what’s possible.
External link for IBM Quantum
IBM Quantum reposted this
#SC26 National Center for Supercomputing Applications University of Illinois Urbana-Champaign RIKEN IBM #DeltaAI IBM Quantum System Two Nighthawk r2 We are pushing to 91 qubits where no apparent classical methods are available. Please join us in our presentation sessions at the #NCSA Booth #838 in #SC26. * Tuesday, Nov 17: 3:00 PM – 3:30 PM * Wednesday, Nov 18: 3:00 PM – 3:30 PM * Thursday, Nov 19: 10:00 AM – 10:30 AM https://lnkd.in/g2ZsCxrC
IBM Quantum reposted this
It was great to see at the IBM Quantum Developer Conference '26 the lightning talk session featuring the seven new quantum functions launched in our catalog this year. From optimization and error mitigation to quantum simulation and machine learning, each startup showcased how their function helps users accelerate quantum application development: • David Alber (ParityQC), David Bucher (Aqarios) and Keisuke Sato (JIJ) – Optimization • Nicholas Ezzell (Quantum Elements) and Saikat Basu (LTM) – Error suppression and mitigation • Justin Davis (Q-CTRL) – Quantum simulation • Sebastian Wagner (Kipu Quantum) – Quantum feature extraction for machine learning Many thanks to all presenters for sharing their work and insights! Learn more about these functions here: https://lnkd.in/eVZsm7C8
IBM Quantum reposted this
It was great to share the stage at #QDC2026 this week to discuss how we’re pushing the frontier of quantum computing with IBM Quantum Nighthawk r2. This year we highlighted advances including a 25x increase in circuit throughput with Nighthawk r2, AI-driven improvements in gate fidelity, pulse-level capabilities for quantum error correction research, and new demonstrations extending quantum advantage experiments. What excites me most is seeing these capabilities in the hands of the community. With fast reset, dynamic circuits, real-time control and large-scale syndrome measurement experiments, researchers now have increasingly powerful tools to explore quantum error correction and develop the foundations of fault-tolerant quantum computing. Thank you to everyone who attended, spoke and helped manage the event! Can’t wait for next year.
IBM Quantum reposted this
#Supercomputing comes to Chicago next week, and we are bringing something I have been wanting to show for a long time. At #SC26, IIDAI - IBM Illinois Discovery Accelerator Institute (with National Center for Supercomputing Applications and IBM) are running live demonstrations of Quantum-Centric Supercomputing: a quantum processor and an HPC system working on the same problem, together, on real materials science. Predicting the properties of quantum materials — candidates for future superconductors, energy-efficient catalysts, advanced electronic devices — remains one of the hardest problems in computational science. By integrating quantum processors directly into HPC workflows, we want to get at problems that neither machine can solve on its own. Why this one matters for the region: Illinois and Chicago have become one of the world's serious centers of gravity for quantum computing, and this year SC is in our back yard. What you will see at the booth is Illinois institutions and IBM, through the IBM-Illinois Discovery Accelerator Institute, demonstrating what that investment actually produces — DeltaAI GPUs on the classical side, IBM Quantum System Two on the quantum side. Live demos at the NCSA booth, #838: → Tuesday, November 17 | 3:00–3:30 PM → Wednesday, November 18 | 3:00–3:30 PM → Thursday, November 19 | 10:00–10:30 AM Seating is limited to 30 per session, so please register in advance: https://lnkd.in/gaa-GRnJ And yes — different limited-edition pins for everyone who joins us at a session! When they are gone, they are gone. #SC26 #QuantumComputing #HPC #MaterialsScience #Chicago
IBM Quantum reposted this
During the first week of November, students from the UAL Creative Computing Institute built projects with our Atlas Alpha platform, then presented them at IBM’s London office. Most of them had never studied physics or advanced mathematics. The Creative Quantum Hackathon was run by UAL Creative Computing Institute, IBM Quantum and Moth as part of Qiskit Fall Fest 2026, with Astryd Park and Stewart Smith introducing the students to Atlas. The teams made games, generative artworks and interactive demos, using Atlas engines including Labyrinth, Quantum Blur and TelaBlur. Most people who use quantum computers will never program one gate by gate. The work now is building the layer between the hardware and the people with ideas. Congratulations to Q/SCAPE (Best Use of Quantum), BIG BANG (Most Refined), and Hannah Hannah and QUANT-BIRD (joint Most Original). Thank you to the students for their projects, to the team at IBM London for hosting, and to UAL CCI for bringing the group together. https://lnkd.in/eVdD26pC #Moth #Quantum #UAL #CCI #IBMQuantum #Qiskit #QuantumComputing
IBM Quantum reposted this
I recently stood a few feet from a refrigerator colder than outer space. Inside was a quantum processor operating near a temperature of absolute zero. #IBMPartner This was at IBM Research in Yorktown Heights, where Olivia Lanes, who leads the IBM Quantum learning and education team, showed me the extraordinary engineering behind quantum systems. I came arrived with plenty of questions, including the ones I hear most often from business leaders: ➡️ How do quantum computers actually work? ➡️ Why would we need quantum computers when we have AI? ➡️ If my business will never own a quantum computer, why should I care? That last question is a big one. Most businesses won’t need to own the hardware. They can access it through the cloud. But learning where quantum could be useful, building the skills and identifying problems worth exploring will take time. With IBM targeting fault-tolerant quantum computing for 2029, with the delivery of IBM Quantum Starling, “we’ll learn about it when it gets here” deserves a rethink. In my latest article, I take you inside the lab to explore the hardware, the myths, the progress and what business leaders can do now. Olivia also shares what to look for beyond headline qubit counts when assessing the big claims. What’s the biggest barrier to exploring quantum in your business: finding a relevant use case, building the team and the skills, or sorting through the hype versus meaningful progress? Let me know in the comments!
IBM Quantum reposted this
Here’s what a realistic roadmap looks like. Incremental and public progress towards fault tolerance. At this week’s IBM Quantum Developer Conference (QDC) the roadmap was updated. It’s low-key tame, and I love it. Not promises of 10s of thousands of qubits. Not promises of fault tolerant machines next year that can’t do anything because they’re so slow. Not promises of 300 qubits coming from a company that has less than 100. Instead, we got a realistic roadmap about performant chips and software to benchmark and run hybrid workflows using 1000+ qubits. Doing so in a way that acts as a stepping stone to error corrected qubits on the Starling machine in 2029. That’s where the value will be in the next 3 years before another era of research will begin.
IBM Quantum reposted this
Today we released the GPU-accelerated subspace diagonalization module in qiskit-fulqrum. Subspace diagonalization is often the bottleneck in SQD workflows. Fulqrum-GPU attacks it with tuned GPU sparse matvec (SpMV) kernels for matrix-free eigensolving, and it is MPI-compatible, so one job can span many nodes and GPUs in a quantum-centric supercomputing (QCSC) environment. The result: very large subspaces, solved fast. The attached figure shows an iron–sulfur cluster, 4Fe-4S (54e, 36o), diagonalized in a 150-billion-determinant (1.5e11) subspace on 16 nodes. This release also revamps the CPU module for chemistry Hamiltonians. The matrix-free engine is fast and memory-efficient, so you can prototype large diagonalizations on a laptop or desktop. Try it, request features, report issues: PyPI (sdist): https://lnkd.in/g8GeHJHB Git repo: https://lnkd.in/g2MDivKZ arXiv (CPU design): https://lnkd.in/e8r-zUG7 IBM QDC Blog: https://lnkd.in/giE9TpUc
Quantum advantage is increasingly a developer experience, not just a research milestone. That transition is on full display this week at IBM Quantum Developer Conference 2026 (#QDC26), where we're showcasing practical tools that help developers build, test, optimize, and scale quantum workloads today. The recently announced managed workflow experience on the IBM Quantum Platform brings classical and quantum resources together, allowing users to deploy and scale quantum-classical workflows using managed CPUs, GPUs, and QPUs within a single environment. We see this as an important step toward supporting increasingly complex quantum-classical workloads. Currently in beta, IBM Quantum Functions (formerly Qiskit Functions) gives users easier access to a growing ecosystem of advanced quantum software tools directly on the IBM Quantum Platform. From error mitigation, optimization, and machine learning to quantum simulation, these functions help researchers and developers accelerate experimentation and streamline workflows with less operational overhead. Combined with a new consumption-based billing model, users can quickly access cutting-edge capabilities from ecosystem partners without separate software procurement. In our latest blog, we walk through the releases that matter most for developers across hardware, software, error correction, and access, and show how to get started building with each: https://lnkd.in/dBudCPnw
IBM Quantum reposted this
We're happy to announce that AI-QEM, LTM's proprietary AI-powered Quantum Error Mitigation capability, is now available in the IBM Quantum Functions Catalog. With this milestone, LTM becomes the first Global Systems Integrator (GSI) worldwide to publish a function in the catalog. This also reflects the growing role of ecosystem partners in expanding the tools available to the wider quantum community. The AI-QEM function helps users mitigate errors faster and with fewer resources as they develop quantum algorithms and applications. Together with IBM, LTM Outcreates a faster, more cost-efficient route to useful quantum applications. Read more: https://okt.to/fIdvrw Scott Crowder • Indranil Mitra • Amogh Apsingekar • Saikat Basu #ItsTimeToOutcreate #QuantumComputing #IBMQuantum #AI
