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This could be the largest synthetic code dataset yet How to measure the performance of a quantum computer | IBM Quantum Computing Blog Release News: Qiskit v2.5 is here! | IBM Quantum Computing Blog CoFrGeNets replace the ‘bones’ of transformer-based models How training environments can teach AI models to misbehave What’s new at IBM Quantum - Q2 2026 | IBM Quantum Computing Blog Modeling the chemistry of fusion reactor material | IBM Quantum Computing Blog Ponder This Challenge - July 2026 - Return of the Superheroes Apply to IBM Quantum Developer Conference 2026 | IBM Quantum Computing Blog Qiskit Paulice: postselected quantum error correction | IBM Quantum Computing Blog What is IBM’s nanostack chip architecture? IBM introduces the smallest computer chip in the world A new playbook for quantum optimization benchmarking Running AI on mixed hardware for speed and affordability Explore next-gen quantum algorithms with IBM Quantum Credits | IBM Quantum Computing Blog Allstate explores quantum computing for insurance portfolios | IBM Quantum Computing Blog Can LLMs discover quantum error correction codes? Prototype and validate fermionic circuits faster with ffsim | IBM Quantum Computing Blog Bringing the power of semantic AI to IBM Db2 The fast Fourier transform, how and why it works Building AI more like software The future of quantum takes center stage at NY Tech Week Qiskit Fall Fest 2026: Applications open | IBM Quantum Computing Blog IBM to invest $10 billion in quantum computing | IBM Quantum Computing Blog Renowned mathematician Subhash Khot joins IBM Research Ponder This Challenge - June 2026 - The Superhero Team Movies New Classroom Accounts expand quantum access for educators | IBM Quantum Computing Blog Qiskit Global Summer School 2026: Registration now open | IBM Quantum Computing Blog How researchers built a record-setting quantum circuit | IBM Quantum Computing Blog IBM charts a new research path with MIT How IBM is using quantum computing to understand the operating system of the universe How to use sample-based quantum diagonalization on IBM hardware Quantum-centric supercomputing simulates 12,635-atom protein | IBM Quantum Computing Blog A decade of quantum on the cloud | IBM Quantum Computing Blog Ponder This Challenge - May 2026 - The Powers of a Binary Matrix Where the frontiers of high-speed racing and computing meet Introducing the IBM Granite 4.1 family of models Building the future of computing, together Next-generation algorithms could move fusion from the lab to the grid Bringing quantum-centric supercomputing to Illinois Release News: Qiskit v2.4 is here! | IBM Quantum Computing Blog How IBM Quantum is enabling healthcare and biology research | IBM Quantum Computing Blog How an extra training step can unlock AI’s reasoning power IBM demonstrates extreme scale for content-aware storage with a 100-billion vector database Ponder This Challenge - April 2026 - The Unlabeled Clock IBM Research and ETH Zurich open a new era of innovation IBM’s newest time-series models cover a full range of enterprise prediction tasks Toward a transparent supply chain for AI Quantum computers take a step into real materials science Donating llm-d to the Cloud Native Computing Foundation Cleveland Clinic & IBM debut new quantum simulation workflow | IBM Quantum Computing Blog Turning turbulence into transcripts Like the information in a dream: IBM’s Charles H. Bennett receives ACM Turing award Doubling down on open-access quantum computing | IBM Quantum Computing Blog Unveiling the first reference architecture for quantum-centric supercomputing Realizing Feynman’s vision for the future of simulation | IBM Quantum Computing Blog IBM is working today to secure communication from tomorrow’s quantum risks Building PyTorch-native support for the IBM Spyre Accelerator Quantum simulates properties of the first-ever half-Möbius molecule, designed by IBM and researchers A look back at the International Year of Quantum | IBM Quantum Computing Blog TerraStackAI: Bringing Earth and space AI to Red Hat and the world Ponder This Challenge - March 2026 - Path game on a hole-riddled chessboard IBM demonstrates High NA EUV process capability on track for insertion below 2 nm nodes at SPIE 2026 Quantum Advantage Tracker: the race to advantage | IBM Quantum Computing Blog
What’s new at IBM Quantum - Q1 2026 | IBM Quantum Computing Blog
2026-04-20 · via IBM Research

Q1 2026

More runtime for Open Plan users

IBM Quantum Open Plan users are getting new learning resources, expanded QPU access, and a special one-time offer: eligible users can now unlock 180 minutes of runtime after using 20 minutes within past 12 months. Sign in to IBM Quantum Platform to view your status.

Check your eligibilityRead the blog

IBM Quantum Nighthawk chipIBM Quantum Nighthawk chipIBM Quantum Nighthawk chipIBM Quantum Nighthawk chip

  • Best EPLG

    0.19%

    On ibm_boston

  • Best CLOPS

    330K+

    Across 7 QPUs

  • Total available qubits

    2344

    Across 16 QPUs

  • Total papers

    5857

    Citing IBM Quantum or Qiskit

Learn quantum-HPC workflows

Dive into the world of quantum-centric supercomputing with our new course, "Integrating quantum and high-performance computing." Get free, hands-on guidance covering:

  • Computing resource management
  • Quantum and classical programming models
  • SQD and SKQD algorithms

Start the course(opens in a new tab)

Heron r3 & Nighthawk for deeper circuits

Target deeper, more demanding circuits on IBM’s latest QPUs. Heron r3 delivers low error rates for complex hybrid workflows. Nighthawk’s square-lattice connectivity enables new kinds of experiments, like a recent study using 2D disordered Heisenberg‑model simulations to examine the thermalization of isolated quantum many‑body systems.

Read the study(opens in a new tab)

Designing quantum projects

New course helps you make the most of expanded Open Plan runtime.

Learn how to:

  • Scope projects
  • Choose high-impact use cases
  • Secure funding

Start the course(opens in a new tab)

Qiskit v2.4—for software devs

Qiskit v2.4 makes it easier to build fast, compiled tooling. New C‑API features, improved Python extension support, and faster fault‑tolerant compilation. Better performance without requiring changes to existing workflows.

Read the release notes(opens in a new tab)

Additional updates

Introducing Qiskit Fermions

Qiskit Fermions is a new quantum chemistry library that extends Qiskit with tools for fermionic systems. Use built‑in fermionic mappers, operator tools, and an extensible circuit‑synthesis library—or build your own mappers and circuits with Python or the C API.

Browse the Github repo(opens in a new tab)

Tutorial: Low-overhead error detection with spacetime codes

Try out a novel method that uses spacetime codes to detect errors, balancing the accuracy of fault-tolerant error correction protocols with the lighter-weight computational cost of error mitigation.

Run the tutorial(opens in a new tab)

Qiskit Functions add real-time logs

Real-time execution logs provide visibility into execution stages, applied optimizations, and job metadata. Use `job.logs()` to monitor progress, debug failures faster, and analyze how Functions run—while they're running. Try it now in the Quantum Portfolio Optimizer Function, more soon.

Learn about real-time logs(opens in a new tab)

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