IBM Quantum

For everyone who, over the past months, has asked “Where should I start learning quantum computing?” or “What’s the most effective way to learn Qiskit?” — the answer is simple: join our #Qiskit Global Summer School 😉 This year, we celebrate 10 years of IBM Quantum on the cloud, so we’ve named this edition: Qiskit Global Summer School 2026: A Decade on the Cloud As always, participants will gain the practical skills needed to work with today’s most advanced quantum systems and explore their potential for real-world impact. The curriculum emphasizes hands-on programming, real-world applications, and the emerging tools shaping the future of quantum information science. For all the details, check the blog: https://lnkd.in/e9r-QNAv But let me highlight a few key updates we’re introducing this year: 🤓 New beginner-only track 🎓 Updated scoring system 📚 New professional development sessions 𝗦𝗽𝗼𝘁𝘀 𝗳𝗶𝗹𝗹 𝘂𝗽 𝗾𝘂𝗶𝗰𝗸𝗹𝘆, so make sure to sign up early to secure your place. 👉 https://ibm.biz/qgss-2026

Launching today as part of the first IBM Quantum Education Day, we’re thrilled to announce Classroom Accounts, a new way for educators to bring quantum to their students: https://ibm.co/6044EMeZs Classroom Accounts were created to help teachers, professors and instructors integrate real quantum computers into their teaching without the friction of traditional onboarding. 𝗪𝗶𝘁𝗵 𝗮 𝗖𝗹𝗮𝘀𝘀𝗿𝗼𝗼𝗺 𝗔𝗰𝗰𝗼𝘂𝗻𝘁, 𝗲𝗱𝘂𝗰𝗮𝘁𝗼𝗿𝘀 𝗰𝗮𝗻: - Onboard up to 100 students into a shared classroom environment - Provide Open Plan access with no credit card required for educators or students - Give entire classrooms hands-on experience with real quantum computers - Support curricula via the same platform used in cutting-edge R&D More details in our blog linked above. Educators, request your Classroom Account by filling out this form: https://ibm.co/6045EMeZt

The recently released PBS documentary, “Project Chapel”, offers rare, behind-the-scenes footage of the installation process of the IBM Quantum System One at Rensselaer Polytechnic Institute in 2024, the first such system of its kind installed at a university: https://ibm.co/6047EMZAL Produced by Pretty Human, the perspectives of Jay Gambetta, Jerry M. Chow, Olivia Lanes, Martin Schmidt, Osama Raisuddin, Christopher Carothers, Curtis Priem and many others share what it’s like to research, pursue and embrace the advancing field of quantum computing—all in the shared goal of opening new ways of solving our hardest, unforeseen problems in the natural world. By operating a real quantum computer on campus, the students, faculty and staff at RPI are helping advance an industry focused on applying quantum computing in transformative ways. Our blog on IBM Research covered the installation milestone in 2024: https://ibm.co/6048EMZA0 ----- #IBM #RPI #PBS #QuantumComputing

With support from the U.S. Department of Commerce, IBM recently announced plans to launch Anderon—America's first pure-play quantum foundry that will manufacture 300mm quantum wafers at the scale needed to power the global quantum industry: https://ibm.co/6047EMnsh Details on the announcement and how it positions IBM at the center of the United States’ quantum manufacturing capabilities in the link above.

Registration is now open for Qiskit Global Summer School 2026: A Decade on the Cloud: https://ibm.co/6048EMVAa The #Qiskit Global Summer School is our annual global program designed to help students, researchers, and developers build practical skills in quantum computing. #QGSS26 will run from July 13-24, 2026. Throughout the program, participants will gain the practical skills needed to work with today’s most advanced quantum systems and explore their potential for real-world impact. The curriculum emphasizes hands-on programming, real-world applications, and the emerging tools shaping the future of quantum information science. In our latest blog linked above, we outline what’s new this year, including: 🤓 - New beginners-only track 🎓 - New scoring updates 📚 - New professional development sessions 𝗦𝗽𝗼𝘁𝘀 𝗳𝗶𝗹𝗹 𝘂𝗽 𝗾𝘂𝗶𝗰𝗸𝗹𝘆, so be sure to sign up as soon as possible to secure your place! Register here: ibm.biz/qgss-2026

Key to real value from any accelerated compute is maintaining value after integration into industry workflows. Kipu’s announcement of quantum-enhanced machine learning models is an elegant way of addressing that for quantum computing in many real industry use cases. Very exciting work and proud to be a partner with Kipu. Enrique Solano #ibmquantumnetwork Kipu Quantum https://lnkd.in/eqaMqTXK

𝐐𝐮𝐚𝐧𝐭𝐮𝐦-𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐚𝐛𝐥𝐞 𝐟𝐨𝐫 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 Kipu Quantum releases the quantum feature surrogate framework: a hybrid approach that uses IBM Quantum processors to generate data representations classical algorithms cannot produce on their own, and transfers them into classical surrogates that run with millisecond latency and no quantum computer at inference time. It has been tested with real data and validated by clients. 1) 87% accuracy on satellite image classification, matching the full quantum pipeline against 84% classical baselines. 2) AUC 0.932 on medical image diagnostics, outperforming ResNet-50 and ResNet-18 baselines. 3) 10% accuracy improvement on molecular toxicity classification. 4) Using 20% of training data processed on quantum hardware, a 5x reduction in quantum compute cost. Read snippets from quotes of partners and clients with full texts in the press release below: “The quantum feature extraction technique that Kipu Quantum has developed for how quantum and classical compute can work together is yet another great example of finding a cost-effective way to run hybrid, QML workflows. And we at IBM are excited about the Kipu team’s work to show how our quantum hardware efficiently delivers accurate results across a wide range of applications ...” Scott Crowder, Vice President IBM Quantum Adoption “Kipu’s off-line surrogate framework achieves economic quantum advantage by capturing the 2–3% absolute accuracy gains of a quantum processor while running inference entirely on classical hardware. By processing only a small representative subsample (e.g., 20%) on actual quantum hardware, the framework reduces expensive quantum executions by a factor of 5 or more ...” André M. König, CEO at Global Quantum Intelligence, LLC “There is a compelling shift happening in how quantum computing will create value, i.e. not by replacing classical systems, but by teaching them something they could not learn alone. Kipu Quantum’s quantum feature surrogate framework is a masterclass ...” Rika Nakazawa, Chief Commercial Innovation at NTT DATA, Inc. “Through the Kipu Quantum Hub platform, we are achieving promising milestones that can optimize classical models in image classification for predictive maintenance. The Proof of Concept we implemented delivered positive results by using thermographic drone imagery ...” Estela Vilches, Head of Digital Innovation at Moeve “The scope of this technology is intentionally broad and industry-agnostic, providing a scalable solution for a wide range of immediately viable use cases. From satellite image classification and advanced customer analytics to the rapid screening of pharmaceutical candidates ...” Dr. Aaron C. Kemp - CISSP, IBM Champion, Director Quantum Research & Enterprise Innovation at KPMG US Press Release: https://lnkd.in/dW7f4Q_n Paper: "Off-line quantum-advantage feature extraction for industrial production" https://lnkd.in/d4vDuw7a

A new preprint “Concatenating Algebraic Codes over High-Rate Quantum LDPC Codes” [https://lnkd.in/ejQ6bkMr] by Adam Wills (Massachusetts Institute of Technology, IBM) and the IBM quantum error correction team shows that concatenating an algebraic code over the gross code reduces the space overhead of a fault-tolerant quantum memory below the bicycle-architecture baseline. A programmable fault-tolerant quantum computer requires a long-lived memory and protected gates for computation. Quantum LDPC architectures built on high-rate codes are one promising route to scalable fault tolerance. However, scaling the leading high-rate qLDPC architectures indefinitely is challenging because interactions must occur between increasingly distant qubits. From a practical perspective, the costs of non-local connectivity scale with range, degree, and even the type of connection. This non-uniform cost motivates us to explore hierarchical approaches to fault-tolerant architectures, where we can take advantage of the different strengths of on-chip and inter-module couplers. In particular, code concatenation is a well-known technique to combine two or more codes that is a key ingredient in the first proofs of the quantum threshold theorem. In our new preprint, we package all of the logical information of a qLDPC code called the gross code into one logical qudit, a higher-dimensional analog of a qubit. This lets us view failures of the qLDPC code as qudit errors and use an algebraic code designed to encode and correct qudits. The concatenated approach creates the potential to use simpler chip modules, recover from module loss or correlated bursts, and provide a fallback when the inner qLDPC decoder fails. Our main conclusion is that concatenation improves the space overhead of a fault-tolerant quantum memory. Quantitatively, the logical error rate of the memory is significantly suppressed, taking the gross code into the teraquop regime (one trillion logical qubits * logical cycles). Along the way, we achieve improvements that benefit the bicycle architecture, like optimized logical error rates for the in- and inter-module surgery operations. The core ideas — Galois qudits, quantum Reed-Solomon outer codes, and list decoding — are highly transferable across quantum architectures, motivating future research to extend from memory to logical computation with concatenated algebraic codes and high-rate qLDPC codes. Andrew Cross