The latest IBM Quantum System One is officially operational at Yonsei University in Seoul, South Korea—only the second on a university campus in the world. https://ibm.co/491hbct The system at Yonsei University is powered by a 127-qubit IBM Quantum Eagle processor, which will now empower students, faculty, and researchers to do utility-scale work. Beyond that, we look forward to the potential of this system to fuel our ongoing efforts to accelerate the use of quantum applications, the discovery of quantum algorithms, and to help build a quantum workforce in Korea. The IBM Quantum System One at Yonsei University is now part of IBM’s fleet of utility-scale quantum computers available via the cloud and the fifth, globally, at dedicated sites, including systems in the United States, Canada, Germany and Japan. Learn more at the press release linked above.

This year, IBM Quantum hosted its first ever Quantum Developer Conference — a gathering for developers to get an exclusive, hands-on preview of cutting-edge tools that will help them explore in the era of utility. QDC 2024 kicked off with our annual State of the Union address, featuring the latest updates and advances from IBM Quantum as we work to bring useful quantum computing to the world. The event brought together over 200 quantum developers and featured technical seminars, challenges, office hours, IBM and partner activation village, entertainment, and lab tours. There were also multiple opportunities for networking with researchers, engineers, experts! If you want to re-live the magic of QDC or you weren’t able to attend, all of the content and materials are now live on IBM Quantum Learning: https://ibm.co/3ZbToUa Be sure to follow this page for future announcements related to QDC and other IBM Quantum events!

If you’re attending SuperComputing 2024 in Atlanta this week, join us for two insightful sessions about quantum computing. The first is a quantum seminar on Tuesday, November 19 at 9AM ET hosted by IBM Principal Research Scientist Antonio Córcoles, and IBM Project Management Lead Tushar Mittal. The second on Wednesday, November 20 at 2:15PM ET is part of the SC24 Invited Talks series. It will feature IBM VP of Quantum Jay Gambetta who will be talking about quantum-centric supercomputing. Scan the QR codes on the images below or head to the respective links to register and more info. SC24 Quantum Seminar: https://ibm.co/3YYam6Y SC24 Invited Talks Quantum-Centric Supercomputing: A New Perspective on Computing https://ibm.co/3AZUHMq

We’re exploring where quantum can make the largest impact in energy with E.ON. https://ibm.co/4fobSGB E.ON serves over 47 million customers across 17 countries everyday, powering infrastructure through electricity and gas—and that is no easy task. In years past, E.ON could reasonably predict costs and consumption to ensure these customers would always have the lights on. Now, with changes in technology, sudden weather, and the differing ways we use electricity each day, small variables to supply and demand of energy can drastically impact predictability of costs, resource allocation, and energy delivery. It is a complex problem E.ON faces, but that’s exactly what quantum computing aims to solve—problems with many variables that might take millennia to solve on classical supercomputers might have much more straightforward solutions using quantum computing algorithms. E.ON is exploring how quantum could help them plan for coming fluctuations and predict patterns years into the future, which ultimately lower costs for their customers and keep the lights on for all. Head over to the link above for the full case study and watch the film on https://lnkd.in/exCbDYQ6 for more.

We’re excited to share some upcoming innovations and roadmap updates needed to realize fully error-corrected quantum computing at scale. https://ibm.co/4etLCtg On the pathway to realizing full-scale quantum computing is developing couplers that run gates across multiple quantum chips. This year at the first-ever IBM Quantum Developer Conference (QDC), we reported the results of two kinds of couplers: l-couplers, which connect chips with cables, and m-couplers, which seam together adjacent chips. First is a proof-of-concept for l-couplers we’ve named IBM Quantum Flamingo, which connects two Heron r2 chips with 4 connectors measuring up to a meter long. The next is an m-coupler proof-of-concept called IBM Quantum Crossbill. This concept connects three Herons with 548 couplers and 8 interchip m-coupler connections. At the moment, we’ve benchmarked the best CNOTs with errors per gates of 3.5%, while state transfer takes around 235 nanoseconds on average, on Flamingo. We expect these metrics to improve, and hope to debut a production-ready Flamingo chip for use by our clients at our 2025 quantum state-of-the-union. We will soon begin development on c-couplers, or couplers that link distant qubits on the same chip, with hopes for demonstrating this in 2026. These innovations are necessary to for us to implement scalable quantum computing, as well as the error correction code we shared earlier this year (https://ibm.co/4ezbrrE). This code has the potential to store quantum information with a fraction of the overhead associated with other leading error-correcting codes, but needs higher qubit connectivity between multiple chips to reach its potential—which we're also demonstrating today. We are excited at the prospect of the proof-of-concept innovations we’ve unveiled at this year’s QDC to help us get to that point. More details at the IBM Quantum blog above.

Today at the first-ever IBM Quantum Developer Conference (QDC), IBM Researchers shared that they’ve successfully delivered a system capable of running accurate calculations employing circuits with 5,000 two-qubit gates. https://ibm.biz/Bda9Kz The second iteration of the IBM Quantum Heron quantum processing unit is what drives theese capabilities—powered by 156 qubits in a heavy-hex layout. The new design preserves the tunable coupler architecture we introduced last year to suppress crosstalk, and features new two-level system mitigation to reduce the impact of noise. This newer Heron QPU not only features a 16x improvement in performance, but a significant 25x speed-up in terms of quickness over previous generations. But these improvements also require the collective effort of the quantum computing community to develop algorithms that would be able to leverage the full power of a system like the one we’re sharing today if we hope to drive the field forward. We believed that 5,000 two-qubit gates was an ideal goal, being in the regime of circuits beyond classical simulation. Reliable results from quantum circuits with 5,000+ gates grants users the opportunity to perform real scientific discovery with quantum computers, and to push forward in the search for quantum advantage. And we’re thrilled to share that a number of our startup partners have also delivered utility-scale capabilities—directly integrated as part of the Qiskit Functions catalog—with many approaching that 5,000 gate threshold. We committed to delivering monumental improvements in both our hardware and software. We asked the community to help us in the push for quantum algorithms that could take advantage of those improvements when ready. Now, we’re fully ready for our developer community to start seeking quantum advantages to help us deliver useful quantum computing to the world. More at the IBM Quantum Blog linked above.

‘An Introduction to Quantum Machine Learning’—a new learning course— is now available for partners in the IBM Quantum Network. https://ibm.co/3ChDcri One of the most promising applications for quantum computing is data with complex structures. This new course introduces three of the most well-studied approaches—variational quantum circuits, VQCs with parallels to quantum neural networks, and quantum kernel estimation. This learning opportunity will provide a brief overview of related classical machine learning paradigms and explains how quantum computing plays a role. The course also shows learners how to integrate quantum computing results into existing classical workflows. For example, one use case within the lesson shows how to use a precomputed kernel matrix estimated using a quantum computer in a classical classifier in sklearn. The course is now available on the IBM Quantum Learning platform linked above, and once users complete the course, they can take an exam to earn a quantum machine learning badge via Credly.

IBM has been named Best Company of the Year in the Post-Quantum Cryptography Industry by Frost & Sullivan. https://ibm.co/4fihTVk This recognition highlights the relentless dedication of our Quantum Safe teams across Consulting, Research, and Software, and highlights the impacts we've made to the current and future standards of post-quantum cryptography. We understand that every organization's journey to post-quantum cryptography is unique, and we're proud to support our trusted partners and the quantum computing community in our mission to make the world quantum safe.

Introducing fractional gates—a powerful new tool for reducing the circuit depth of quantum workloads. https://lnkd.in/e9Fxxdms Fractional gates are a new type of quantum logic gate now available on IBM Quantum Heron QPUs. They can help you significantly reduce circuit depth by enabling your transpiled circuits to execute certain single- and two-qubit rotations directly, rather than as decompositions that extend gate depth and introduce errors. This can make a big difference in the efficiency of your quantum workloads, especially utility-scale workloads that focus on simulating nature. When you're running large-scale experiments that use 100+ qubits and thousands of gates, any reduction in circuit depth will help you get more out of the noisy quantum hardware we use today. Head to the IBM Quantum blog linked above to learn more and get started with fractional gates today.

Researchers from Stony Brook University are taking steps toward advancing quantum algorithms using IBM Quantum systems. https://lnkd.in/eGfFw6Hx In a recent experiment, researchers from Stony Brook University were able to simulate interesting quantum systems using variational quantum algorithms implemented across up to 102 qubits on IBM’s superconducting quantum computers. For this particular experiment, the authors focused their attention on XXZ and Heisenberg spin chains, two simplified models of magnetism. By analyzing the way the spins in these spin chains behave and interact with one another, physicists can learn a great deal about the quantum phases of matter in quantum systems. Head to the IBM Quantum blog linked above to learn more about how the researchers set out to simulate large spin chain systems on quantum hardware, and how they plan to use these simulations to calculate the ground state energy of those systems.