{"id":5486,"date":"2026-03-16T13:30:00","date_gmt":"2026-03-16T20:30:00","guid":{"rendered":"https:\/\/aqt.lbl.gov\/?p=5486"},"modified":"2026-03-16T13:31:55","modified_gmt":"2026-03-16T20:31:55","slug":"hybrid-quantum-nvidia","status":"publish","type":"post","link":"https:\/\/aqt.lbl.gov\/2026\/03\/16\/hybrid-quantum-nvidia\/","title":{"rendered":"Berkeley Lab and NVIDIA Collaboration Accelerates U.S. Leadership in Hybrid Quantum\u2013Classical Computing"},"content":{"rendered":"\n<lbl-container\n  wrapper-size=\"sm\"\n  theme=\"white\"\n>\n  <lbl-rich-text>\n    <p><span style=\"font-weight: 400\">Today\u2019s state-of-the-art quantum computers rely on powerful classical high\u2011performance computers for control, calibration, and error correction. As quantum processing units (QPUs) grow from dozens to thousands of qubits, the real\u2011time measurement and processing demands placed on classical central processing units (CPUs) spike. This pressure is intensified because quantum states are sensitive to their environment, typically lasting less than a few milliseconds, placing even greater strain on the already extremely tight feedback loop between the quantum and classical systems.<\/span><\/p>\n<p><span style=\"font-weight: 400\">A new collaboration between Lawrence Berkeley National Laboratory (Berkeley Lab) and NVIDIA, <\/span><a href=\"https:\/\/nvidianews.nvidia.com\/news\/nvidia-nvqlink-quantum-gpu-computing\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">announced<\/span><\/a><span style=\"font-weight: 400\"> in October 2025, is working to overcome key challenges in hybrid quantum\u2013classical computing. Its goal is to enable QPUs and graphics processing units (GPUs) to operate together in real time, with shorter delays (latency) and far greater data throughput (bandwidth). The interdisciplinary research team at Berkeley Lab has successfully connected the lab\u2019s quantum control stack for QPUs, QubiC (Quantum bit Controller), to NVIDIA DGX Spark GPU using the NVIDIA NVQLink platform for low-latency, high-bandwidth GPU-QPU communication. Hardware testing is expected to conclude in early March, positioning the collaboration for cutting-edge AI-enhanced quantum experiments that will continue to advance the nation\u2019s leadership in scientific discovery and innovation.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span style=\"font-weight: 400\">An Open Quantum-GPU Computing Workflow\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Funded by the U.S. Department of Energy Office of Science, QubiC is an open\u2011source control and measurement system that has been deployed and tested at Berkeley Lab\u2019s <\/span><a href=\"https:\/\/aqt.lbl.gov\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Advanced Quantum Testbed<\/span><\/a><span style=\"font-weight: 400\"> (AQT) by users from national labs, universities, and industry. Inspired by Berkeley Lab\u2019s expertise in controls for particle accelerators, and supported in part by the <\/span><a href=\"https:\/\/quantumsystemsaccelerator.org\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Quantum Systems Accelerator<\/span><\/a><span style=\"font-weight: 400\">, QubiC\u2019s modular framework allows quantum and classical workflow components to be replaced or modified independently. QubiC\u2019s open design philosophy has enabled seamless integration with the NVIDIA NVQLink open system architecture, coupling AQT\u2019s QPU with the NVIDIA DGX Spark.<\/span><\/p>\n  <\/lbl-rich-text>\n<\/lbl-container>\n\n\n\n<lbl-container theme=\"white\">\n  <lbl-image\n    img-caption=\"Preliminary QubiC testing at AQT with NVIDIA DGX Spark and NVIDIA NVQLink \"\n    img-credit=\"(Credit: Keegan Houser \/ UC Berkeley)\"\n  >\n    <img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"960\" src=\"https:\/\/aqt.lbl.gov\/wp-content\/uploads\/sites\/2\/2026\/03\/Copy-of-NZ8_8079-copy-1440x960.jpg\" class=\"attachment-lbl-components-lg size-lbl-components-lg\" alt=\"Preliminary QubiC testing at AQT with NVIDIA DGX Spark and NVIDIA NVQLink (Credit: Keegan Houser \/ UC Berkeley)\" slot=\"media\" \/>  <\/lbl-image>\n<\/lbl-container>\n\n\n\n<lbl-container\n  wrapper-size=\"sm\"\n  theme=\"white\"\n>\n  <lbl-rich-text>\n    <p><span style=\"font-weight: 400\">This tightly integrated quantum-classical architecture at AQT facilitates high-bandwidth, low-latency data exchange needed for real-time quantum computing controls. Using a high-speed 100-gigabit networking link, quantum data can flow directly from the QPU to GPU memory with minimal CPU involvement, significantly reducing latency. This efficient feedback loop enables the NVIDIA DGX Spark GPU to analyze results in real time and send updated instructions to the quantum hardware. To push this hybrid architecture even further, the AQT team is integrating NVIDIA\u2019s high-speed networking technology, Hololink IP, into the QubiC gateware to accelerate quantum workloads with classical supercomputing.<\/span><\/p>\n  <\/lbl-rich-text>\n<\/lbl-container>\n\n\n\n  <lbl-container\n    theme=\"white\"\n  >\n          <lbl-pattern\n        slot=\"pattern\"\n        theme=\"quote-block\"\n      >\n      <\/lbl-pattern>\n        <lbl-quote-block\n      text=\"This integration milestone at AQT demonstrates a future where GPUs participate directly in real-time quantum control, enabling researchers to run experiments and error-correction workloads on the same GPU-based platforms used for modern AI and high\u2011performance computing. \"\n      name=\"Yilun Xu\"\n      description=\"Research Scientist in Berkeley Lab\u2019s Accelerator Technology &amp; Applied Physics (ATAP) Division and Co-Principal Investigator of QubiC \"\n    >\n      <img loading=\"lazy\" decoding=\"async\" width=\"330\" height=\"330\" src=\"https:\/\/aqt.lbl.gov\/wp-content\/uploads\/sites\/2\/2026\/03\/Yilun-Xu-330x330.jpeg\" class=\"attachment-lbl-components-sm size-lbl-components-sm\" alt=\"Yilun Xu_Berkeley Lab\" slot=\"media\" \/>    <\/lbl-quote-block>\n  <\/lbl-container>\n\n\n\n\n<lbl-container\n  wrapper-size=\"sm\"\n  theme=\"white\"\n>\n  <lbl-rich-text>\n    <h2><\/h2>\n<h2><span style=\"font-weight: 400\">The Road to AI-Enhanced Quantum Control\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Novel <\/span><a href=\"https:\/\/aqt.lbl.gov\/aqt-research\/publications\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">quantum experiments<\/span><\/a><span style=\"font-weight: 400\"> at AQT increasingly demand rapid decisions using classical hardware. To meet the broader scientific community\u2019s evolving needs, the QubiC team will continue supporting cutting-edge research through open access and collaboration with industry, academia, and national laboratories. By open-sourcing the QubiC design early in its development and throughout its integration with industry hardware such as NVIDIA accelerated computing, the Berkeley Lab team hopes that other quantum hardware groups will explore GPU-accelerated hybrid quantum\u2013classical workflows.<\/span><\/p>\n  <\/lbl-rich-text>\n<\/lbl-container>\n\n\n\n  <lbl-container\n    theme=\"white\"\n  >\n          <lbl-pattern\n        slot=\"pattern\"\n        theme=\"quote-block\"\n      >\n      <\/lbl-pattern>\n        <lbl-quote-block\n      text=\"By using high-performance networking technologies rather than custom, one-off connections, quantum researchers can scale the approach from a single testbed to large orchestrated systems where a single GPU system can coordinate multiple quantum control boards and experiments using familiar supercomputing tools.\"\n      name=\"Gang Huang\"\n      description=\"Principal Investigator to the development of QubiC and ATAP Staff Scientist\"\n    >\n      <img loading=\"lazy\" decoding=\"async\" width=\"330\" height=\"330\" src=\"https:\/\/aqt.lbl.gov\/wp-content\/uploads\/sites\/2\/2025\/10\/Gang-Huang.png\" class=\"attachment-lbl-components-sm size-lbl-components-sm\" alt=\"Gang Huang_Berkeley Lab\" slot=\"media\" \/>    <\/lbl-quote-block>\n  <\/lbl-container>\n\n\n\n\n<lbl-container\n  wrapper-size=\"sm\"\n  theme=\"white\"\n>\n  <lbl-rich-text>\n    <p><span style=\"font-weight: 400\">Building on the need to integrate quantum computers with classical supercomputers, the next frontier in quantum control is to harness AI. This emerging phase in AI-enhanced quantum control can pave the way beyond small quantum prototype systems with dozens or hundreds of physical qubits toward large-scale quantum computers built from error-corrected logical qubits.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The QubiC team at AQT will <\/span><a href=\"https:\/\/atap.lbl.gov\/news\/machine-learning-accelerates-progress-toward-scalable-quantum-computers\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">continue exploring<\/span><\/a><span style=\"font-weight: 400\"> AI-enhanced quantum control by deploying pre-trained neural network models on the NVIDIA DGX Spark. In particular, they plan to investigate applications such as readout classification, gate tuning, and real-time error correction decoding. They will also test new hybrid quantum\u2013classical algorithms and adaptive techniques to improve quantum computing performance.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Through support from the DOE Office of Science, Berkeley Lab\u2019s collaboration with NVIDIA advances quantum\u2013classical research to enable next-generation discovery. By uniting national laboratory expertise with leading industry capabilities, the collaboration reinforces U.S. leadership in scalable, AI-driven computing. This effort aligns with the goals of the DOE <\/span><a href=\"https:\/\/genesis.energy.gov\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Genesis Mission<\/span><\/a><span style=\"font-weight: 400\">, which seeks to integrate AI, high-performance computing, and quantum technologies to accelerate the productivity and impact of American innovation.<\/span><\/p>\n  <\/lbl-rich-text>\n<\/lbl-container>\n\n\n\n  <lbl-container\n    theme=\"white\"\n  >\n          <lbl-pattern\n        slot=\"pattern\"\n        theme=\"quote-block\"\n      >\n      <\/lbl-pattern>\n        <lbl-quote-block\n      text=\"Quantum processors are working hand-in-hand with state-of-the-art accelerated computing through the low latency and high throughput connectivity provided by the NVIDIA NVQLink platform. By using NVQLink to run real-time workloads between quantum processors and GPUs, Berkeley Lab is performing the groundwork needed to turn today\u2019s supercomputing systems into tomorrow\u2019s quantum-GPU supercomputers.\"\n      name=\"Tim Costa\"\n      description=\"Vice President and General Manager for Quantum, NVIDIA\"\n    >\n      <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/aqt.lbl.gov\/wp-content\/uploads\/sites\/2\/2026\/03\/Timothy-Costa-cropped-scaled-300x300-1.jpg\" class=\"attachment-lbl-components-sm size-lbl-components-sm\" alt=\"Timothy-Costa-NVIDIA\" slot=\"media\" \/>    <\/lbl-quote-block>\n  <\/lbl-container>\n\n\n\n<lbl-container\n  theme=\"white\"\n  wrapper-size=\"sm\"\n>\n  <lbl-divider><\/lbl-divider>\n<\/lbl-container>\n\n\n\n<lbl-container\n  wrapper-size=\"sm\"\n  theme=\"white\"\n>\n  <lbl-rich-text>\n    <p class=\"p1\"><span class=\"s1\"><a href=\"https:\/\/www.lbl.gov\/\" target=\"_blank\" rel=\"noopener\">Lawrence Berkeley National Laboratory<\/a><\/span> (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab\u2019s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab\u2019s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy\u2019s Office of Science.<\/p>\n<p class=\"p1\">DOE\u2019s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit <a href=\"http:\/\/energy.gov\/science\" target=\"_blank\" rel=\"noopener\"><span class=\"s1\">energy.gov\/science<\/span><\/a>.<\/p>\n  <\/lbl-rich-text>\n<\/lbl-container>\n","protected":false},"excerpt":{"rendered":"<p>Incorporating QubiC into NVQlink will provide researchers with open access to the tools and infrastructure needed for rapid innovation.<\/p>\n","protected":false},"author":6,"featured_media":5494,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"berkeley-news-post","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9,75],"tags":[99,34,100,101,85],"news_topics":[],"class_list":["post-5486","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-quantum-control","tag-co-design","tag-quantum-computing","tag-quantum-information-science","tag-research-development","tag-workforce"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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