📢 𝐉𝐔𝐒𝐓 𝐈𝐍: $IBM(IBM.US) IBM, ORNL and Cleve

📢 𝐉𝐔𝐒𝐓 𝐈𝐍: $IBM(IBM.US) IBM, ORNL and Cleveland Clinic Use Quantum Computing for Fusion Fuel Research

👉 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:

➤ 𝐈𝐁𝐌, ORNL and Cleveland Clinic computed 𝟗 molecular configurations for fusion fuel materials.

➤ Researchers achieved the 𝐟𝐢𝐫𝐬𝐭-𝐤𝐧𝐨𝐰𝐧 quantum computer calculations for this application.

➤ Study focused on 𝐅𝐋𝐢𝐁𝐞, a leading material for tritium production in fusion reactors.

➤ Research targets 𝐭𝐫𝐢𝐭𝐢𝐮𝐦 extraction, a major bottleneck for commercial fusion energy.

➤ Quantum-centric supercomputing combined 𝐪𝐮𝐚𝐧𝐭𝐮𝐦, 𝐀𝐈, and classical computing techniques.

➤ Methods build on IBM's previous 𝟏𝟐,𝟔𝟑𝟓-𝐚𝐭𝐨𝐦 quantum-enabled protein simulations.

➤ Findings support the U.S. DOE's 𝐆𝐞𝐧𝐞𝐬𝐢𝐬 𝐌𝐢𝐬𝐬𝐢𝐨𝐧 to advance fusion energy.

➤ Results were published in a new paper on 𝐚𝐫𝐗𝐢𝐯.

👉 𝐖𝐡𝐲 𝐈𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬:

➤ Better tritium production could accelerate 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐟𝐮𝐬𝐢𝐨𝐧 𝐞𝐧𝐞𝐫𝐠𝐲 development.

➤ Demonstrates expanding 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 scientific applications for quantum computing.

➤ Advances IBM's strategy of combining 𝐪𝐮𝐚𝐧𝐭𝐮𝐦, 𝐀𝐈, and high-performance computing.

👉 𝐄𝐱𝐩𝐞𝐫𝐭 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭:

➤ "In order to demonstrate the capabilities catalyzed by the Genesis Mission, we have built a team of leading experts across seven DOE national labs, four universities, three industry partners, and Cleveland Clinic to pursue a multi-pronged discovery cycle aimed at optimizing tritium production in molten salt fusion blanket materials. Quantum computers, such as those built by IBM and enhanced by AI and exascale computing, are key tools that accelerate the discovery and design cycles needed to produce sufficient tritium to fuel fusion reactors." — 𝐓𝐨𝐦 𝐁𝐞𝐜𝐤, Section Head for Science Engagement, ORNL.

➤ "This work builds on our advances in simulating complex biological systems at scale, including proteins spanning 12,635 atoms and extends those techniques into materials science to explore fusion-relevant systems with greater accuracy and efficiency. At Cleveland Clinic, we are focused on applying advanced technologies to deepen scientific understanding and accelerate discovery." — 𝐊𝐞𝐧𝐧𝐞𝐭𝐡 𝐌𝐞𝐫𝐳, PhD, Staff Scientist, Cleveland Clinic.

➤ "Bringing quantum, AI, and classical computing together is essential to tackling our society's most fundamental scientific challenges – unlocking capabilities which none of these paradigms can access alone. These results add to mounting evidence that quantum-centric supercomputing is now a practical scientific tool for problems that have long challenged chemists, engineers, and materials scientists." — 𝐉𝐞𝐫𝐫𝐲 𝐂𝐡𝐨𝐰, CTO of Quantum-Centric Supercomputing, IBM.