The U.S. Department of Energy announced a major initiative to build and deploy the world's first fault-tolerant quantum computers by 2028, designed specifically to solve complex materials science and chemistry problems that traditional supercomputers cannot handle. The Quantum Genesis program, announced on June 23, 2026, represents a strategic shift in how America approaches scientific discovery by combining quantum computing, artificial intelligence, and exascale supercomputing into a unified research platform.

Why Does the U.S. Need Quantum Computers for Materials Science?

Classical computers, no matter how powerful, hit a wall when trying to simulate the behavior of atoms and molecules at scale. Quantum computers process information differently, using quantum bits (qubits) that can exist in multiple states simultaneously, allowing them to explore vast numbers of possibilities in parallel. This makes them uniquely suited for materials discovery, where researchers need to predict how thousands of different chemical combinations will behave under extreme conditions.

Oak Ridge National Laboratory, one of the Department of Energy's flagship research centers, is already demonstrating this potential. Researchers there are using AI and quantum computing together to solve a critical fusion energy problem: finding a single material that can simultaneously breed tritium fuel, shield superconducting magnets from radiation, cool reactor walls exposed to 100-million-degree plasma, and transfer heat to generate electricity. This kind of multi-constraint problem is exactly what quantum computers excel at solving.

"Finding a single material that does all four simultaneously at the atomic scale is exactly the kind of problem Genesis can solve. Together, they're pooling the world's best supercomputers, quantum hardware, AI models and 70 years of experimental data," explained Al Geist, a researcher at Oak Ridge National Laboratory, in a video describing the Genesis Mission.

Al Geist, Oak Ridge National Laboratory

What Are the Three Core Components of Quantum Genesis?

The Department of Energy's Quantum Genesis initiative is structured around three major priorities designed to accelerate quantum computing development and real-world application:

• The DOE Q Competition: A bold competition that will demonstrate fault-tolerant quantum systems in 2028 with logical qubits numbering in the low hundreds. These systems will target critical scientific applications in chemistry, materials science, plasma physics, and high-energy physics, with participants collaborating closely with experts from DOE's National Laboratories and National Quantum Information Science Research Centers.
• The National Quantum Supercomputing User Facility: A first-of-its-kind facility that will provide U.S. scientists and engineers access to advanced quantum computing systems capable of tackling previously intractable problems. This facility will integrate with existing exascale supercomputers, artificial intelligence systems, and the Energy Sciences Network to create a unified high-performance computing ecosystem.
• Focused Research and Development for Quantum Applications: Targeted research efforts that bring together universities, National Laboratories, and industry partners to identify and implement breakthrough quantum scientific applications, mirroring how the Genesis Mission's National Science and Technology Challenges guide AI-driven innovation.

How Is AI Accelerating Quantum-Powered Materials Discovery?

The real power of Quantum Genesis lies in combining quantum computing with artificial intelligence. At Oak Ridge, researchers are using AI agents to propose promising new material compositions, while quantum computers and supercomputers evaluate how those materials will perform under extreme conditions. AI surrogate models trained on decades of experimental data then accelerate this screening process by roughly 100 times.

For the molten salt fusion reactor problem, researchers queried the properties of thousands of salt mixtures using AI, and the AI system could even predict properties of salts that had never been synthesized before. This hybrid approach transforms materials discovery from a slow, trial-and-error process into a rapid, data-driven pipeline.

What Does This Mean for U.S. Competitiveness?

The Quantum Genesis initiative is part of a broader Department of Energy effort called the Genesis Mission, which aims to revolutionize scientific discovery and strengthen U.S. competitiveness in quantum information science. The announcement aligns with President Trump's Executive Order on "Ushering the Next Frontier of Quantum Innovation," which reaffirms America's commitment to leadership in quantum computing.

"Scientific discovery is one of the most powerful drivers of human flourishing, and quantum computing has the potential to dramatically accelerate that discovery. Through Quantum Genesis, we are bringing together America's National Laboratories, universities, and private sector innovators to develop and deploy the world's first scientifically relevant fault-tolerant quantum computing capability," said Secretary of Energy Chris Wright.

Chris Wright, Secretary of Energy

Oak Ridge National Laboratory, which has grown to 7,400 employees and a $2.5 billion annual budget, is central to this effort. The lab is advancing research in AI, quantum computing, and isotope production while working on the Genesis Mission alongside universities and private sector partners. The lab is also constructing the Second Target Station for the Spallation Neutron Source, which will enable faster, more detailed research on materials used for energy storage, semiconductors, aerospace, and medicine.

When Will These Quantum Computers Be Ready?

The timeline is aggressive but achievable. The DOE Q Competition aims to demonstrate fault-tolerant quantum systems with low hundreds of logical qubits by 2028. This represents a significant milestone, as current quantum computers have far fewer stable qubits and struggle with error correction. Oak Ridge will receive parts of a new quantum machine called Lux in the coming months to support this mission.

The convergence of quantum computing, AI, and exascale supercomputing represents a fundamental shift in how scientists approach discovery. Rather than waiting years for experimental results, researchers can now use AI to propose candidates, quantum computers to evaluate them at the atomic level, and classical supercomputers to simulate their behavior at scale. This integrated approach could accelerate breakthroughs in fusion energy, battery chemistry, semiconductor design, and countless other fields where materials science is the bottleneck.