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Research Services

Yorktown Heights, New York 74,004 followers

Inventing what's next in science and technology. Subscribe to our newsletter for the latest: https://ibm.biz/BdMdCb

About us

IBM Research is a group of researchers, scientists, technologists, designers, and thinkers inventing what’s next in computing. We’re relentlessly curious about all the ways that computing can change the world. We’re obsessed with advancing the state of the art in AI and hybrid cloud, and quantum computing. We’re discovering the new materials for the next generation of computer chips; we’re building bias-free AI that can take the burden out of business decisions; we’re designing a hybrid-cloud platform that essentially operates as the world’s computer. We’re moving quantum computing from a theoretical concept to machines that will redefine industries. The problems the world is facing today require us to work faster than ever before. We want to catalyze scientific progress by scaling the technologies we’re working on and deploying them with partners across every industry and field of study. Our goal is to be the engine of change for IBM, our partners, and the world at large.

Industry

Research Services

Company size

10,001+ employees

Headquarters

Yorktown Heights, New York

Updates

• IBM Research reposted this
  We’re excited to share some upcoming innovations and roadmap updates needed to realize fully error-corrected quantum computing at scale. https://ibm.co/4etLCtgOn 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.
  
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  74,004 followers
  3d Edited
  "If you ever have to look at anything up to 500,000x, call me.” 🤙IBM Research Advisory Engineer John Ott demonstrates how the scanning electron microscope (SEM) at the Thomas J. Watson Research Center in New York fires beams of electrons at an object through a magnetic lens - instead of a glass lens - to achieve 500,000x magnification. Join us on a look inside Ott’s lab as he uses the SEM to give you a view of a penny you’ve never seen before: https://lnkd.in/gGdkxNFk----#IBM #Research
  
• IBM Research reposted this
  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/Bda9KzThe 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.
  
• Large amounts of valuable enterprise data lie buried in PDFs, annual reports, and other business documents. #Docling, IBM's new open-source toolkit, is designed to extract and process this information so that large language models can digest it. How it works: Docling converts complex documents into #JSON and #Markdown files that can be used to fine-tune LLMs for enterprise tasks and to ground them on trusted data via retrieval-augmented generation. Docling can run on a standard laptop and takes just five lines of code to set up. 🦆 - Learn more on the IBM Research blog: https://lnkd.in/gwnkFQmV🦾 - Try it and contribute via GitHub: https://lnkd.in/gUYgQByS
  
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  74,004 followers
  1w Edited
  Fine-tuning large language models on specialized data the traditional way can involve updating billions to trillions of weights. Low-rank adaptation, or #LoRA, offers a shortcut. With LoRA, you change only a tiny subset of the base model’s weights, creating a plug-in module (also called a LoRA!) that gives your model domain-specific expertise at inference time. Like custom bits for a multi-head screwdriver, LoRAs can be swapped in and out of the base model to give it specialized capabilities. Here are several ways IBM Research is innovating with LoRA to make it easier to customize and serve #AI models at scale. https://lnkd.in/e_4G4rV8
  
• IBM Research recently concluded our annual Pat Goldberg Memorial Best Paper Award competition. This competition recognizes a small number of outstanding papers spanning the broad breadth of IBM Research including computer science and AI, mathematical sciences, physical sciences and quantum computing. These papers also reflect strong collaborations with leading research universities. Papers published in 2023 were eligible, and this year, three papers were selected as winners, and four as honorable mentions. These seven papers were published in leading scientific publications: Nature Magazine, Physical Review Letters, the IEEE Journal of Solid State Circuits, and NeurIPS. Topics covered in the papers include a paradigm using AI to discover fundamental scientific laws; advances in superconducting computers; and key advances enabling practical use of quantum computing before we have fully fault-tolerant systems. These awards were established in the memory of Pat Goldberg, an IBM researcher who was instrumental in establishing systematic research disciplines in IBM Research. The competition was named in her honor when she passed away after retiring from IBM. We salute the winners and encourage you to read the papers here: https://lnkd.in/ehnsyKuj
  IBM announces the winners of the 2024 Pat Goldberg competition research.ibm.com
• In this week's newsletter, we are building the future of chips in the United States. This week we announce the home of the new NSTC EUV Accelerator, learn more about advancing quantum algorithms, and continue recognizing impact from IBM in AI. Read more for the latest and subscribe here:
  Building the future of chips in the USA IBM Research on LinkedIn
• This morning, Natcast.org and NY Gov. Kathy Hochul announced that the Albany NanoTech Complex will be the home of the first National Semiconductor Technology Center (NSTC) site, designated by the 2022 CHIPS and Science Act. Based in Albany, New York, and run by NY CREATES, this complex will stand up the NSTC Extreme Ultraviolet (EUV) Accelerator, a new facility that will accelerate cutting-edge semiconductor research in the United States. IBM and other industry leaders have used EUV technology at Albany NanoTech to produce some of the world’s most innovative chip breakthroughs, including the world’s first 2 nm chip. As a proof point for the new EUV Accelerator, IBM Research has already shown the first working proof of designing wafers using the next-generation High NA EUV technology, before a machine has even made it to Albany. This new research provides a pathway for designing chips below the 2 nm level. Read more about the announcement and what is in store for Albany:https://lnkd.in/eHGmTvch
  

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