# IBM Genesis Mission Award Pairs $50M in Quantum Access With Algorithm-First AI Research > Source: > Published: 2026-08-05 15:52:49+00:00 The U.S. Department of Energy has selected IBM for a Phase I Genesis Mission project focused on AI-assisted quantum application development. The company also plans to provide up to $50 million in access to IBM quantum systems for DOE national laboratories and their partners over the next five years. The Genesis Mission is building a national scientific-computing framework that brings together AI, classical high-performance computing, quantum computing, scientific instruments, and research data. IBM’s selection adds a quantum component to the first set of projects under the Genesis Mission Request for Applications process. This work complements the DOE’s planned computing infrastructure at Oak Ridge National Laboratory. As previously reported, AMD’s Lux system is expected to become the first fully operational Genesis Mission platform, with funded projects slated to begin using it in October 2026. [Lux combines AMD Instinct MI355X GPUs,](https://www.storagereview.com/news/amds-lux-becomes-the-first-genesis-mission-supercomputer-with-discovery-to-follow-in-2028) EPYC CPUs, and Pensando networking to support AI services, conventional HPC workloads, simulation, and data-intensive research workflows. IBM’s contribution is directed at extending that model to include quantum resources for workloads where classical systems and AI alone are insufficient. ## AI-Assisted Quantum Application Development IBM’s Phase I project will examine a reversed workflow for identifying quantum computing applications. Rather than beginning with a scientific problem and searching for a quantum algorithm, IBM plans to start with known quantum algorithms and use an agentic AI research assistant to locate scientific problems in published literature that meet the algorithms’ requirements. The system would review research papers, identify possible algorithm-to-problem matches, assess them against human-defined criteria, and produce an explanation for researchers to evaluate. The objective is to reduce the manual effort involved in surveying scientific literature and uncover application candidates that may otherwise be missed. The DOE’s Phase I awards are intended to establish and test research workflows before larger-scale funding and deployment. Teams will evaluate whether AI-enabled approaches can accelerate discovery, improve predictive accuracy, improve experimental workflows, or identify new research opportunities. ## Quantum Systems Available to DOE Labs IBM said it will make systems including the 156-qubit IBM Quantum Heron and 120-qubit IBM Quantum Nighthawk available to DOE national labs and their research partners. The company will also provide technical support for integrating quantum hardware with the labs’ existing AI and HPC environments. IBM operates 15 quantum systems and reports more than 97 percent uptime across the fleet. Its latest Nighthawk architecture includes 120 programmable qubits, supports more than 5,000 quantum operations, and delivers throughput of up to 100,000 circuits per second. The program’s practical value will depend on workflow integration rather than quantum hardware alone. Quantum systems are likely to be used selectively, with AI narrowing large research spaces and conventional GPU-accelerated supercomputers handling simulation and data processing. Quantum processors can then be directed toward specific portions of a workload that are difficult to model efficiently with classical methods. ## Molten Salt Research Illustrates the Model IBM pointed to a recent collaboration with Oak Ridge National Laboratory and Cleveland Clinic as an example of this approach. The organizations used a quantum-centric workflow to study molten salts relevant to tritium fuel production for fusion-energy systems. AI agents searched and filtered candidate materials from ORNL’s molten-salt research archive, which spans roughly 70 years of research. GPU-accelerated supercomputers modeled the shortlisted materials, while quantum computers were applied to the most computationally complex aspects of the simulations. That division of labor aligns with the broader Genesis Mission approach. Lux is expected to provide a near-term platform for integrated AI and HPC workflows, including simulations, digital twins, autonomous laboratory environments, and persistent AI services. IBM’s project introduces quantum computing as an additional resource that can be connected to those workflows as suitable scientific applications emerge. The Genesis Mission roadmap also includes Discovery, an exascale-class system planned for delivery at ORNL in 2028. Discovery is expected to use [6th Gen AMD EPYC “Venice” CPU](https://www.storagereview.com/news/amd-6th-gen-epyc-venice-256-cores-1-6tb-s-and-the-first-pcie-gen-6-server-cpu)s, AMD Instinct MI430X GPUs, and an HPE Cray platform with DAOS storage. Together, Lux, Discovery, and associated quantum resources outline a DOE strategy centered on progressively integrating AI, HPC, data, and emerging compute architectures into scientific research workflows. IBM already works with DOE laboratories including Lawrence Berkeley, Oak Ridge, and Los Alamos. The Genesis Mission project formalizes another avenue for evaluating where quantum computing can deliver measurable value alongside the AI and HPC infrastructure being deployed at national laboratories.