IonQ Partners with Oak Ridge National Laboratory, Demonstrating Quantum Power Grid Optimization Advancements
New hybrid quantum-classical approach outperforms novel quantum algorithms to advance energy sector modernization
The Unit Commitment problem involves determining the optimal schedule for power generators to meet electricity demand at minimal cost. This task becomes increasingly complex as power systems scale and generate more energy using dispatchable energy resources (e.g. nuclear plants, natural gas, hydroelectric…etc.) and intermittent sources such as solar and wind.
IonQ and ORNL developed a hybrid approach that combines IonQ’s 36-qubit Forte Enterprise quantum computing with classical computing. Using this hybrid approach, the team found varied solutions for power generation scheduling across 24 time periods and 26 generators.
“This demonstration marks a significant milestone in applying quantum computing to real-world energy challenges. We are proud to be partnering on this ground-breaking work with ORNL and the DOE,” said Niccolo de Masi, CEO of IonQ. “As our systems scale to thousands and millions of qubits, we expect to solve grid optimization challenges at a scale that classic computing methods cannot match.”
The energy sector is increasingly viewed as a key early use case for quantum computing advantages, given its reliance on complex optimization and simulation tasks. According to the
This research is part of DOE’s multi-year GRID-Q project, which brings together national laboratories, academic partners, and private-sector companies. ORNL leads the project, with IonQ as one of only two quantum industry partners tasked with developing scalable quantum algorithms for grid operations.
“This case study, completed by ORNL in partnership with IonQ, demonstrated the feasibility of using an ion-trapped quantum computing device to solve the Unit Commitment problem in the power grid,” said Suman Debnath, who led ORNL’s contributions to the project. “As the quantum device scales, concurrent research is intended to test how the application performance can gain a quantum advantage.”
IonQ anticipates that quantum systems with 100 to 200 high-fidelity qubits, which are expected as early as 2026, will be capable of solving grid-scale Unit Commitment problems. The quantum optimization methods demonstrated in this work are applicable to a broad range of industries, including logistics, scheduling, and finance.
This latest announcement builds on the established relationship between IonQ and ORNL. The organizations have partnered on several projects including: noise-tolerant methods to help solve the world’s hardest optimization problems as well as a novel approach to scalable quantum computing. IonQ is also engaged in a separate
About IonQ
IonQ, Inc. [NYSE: IONQ] is the leading commercial quantum computing, quantum networking and quantum applications company, delivering high-performance systems aimed at solving the world’s most complex problems. IonQ’s current generation quantum computers, IonQ Forte and IonQ Forte Enterprise, are the latest in a line of cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results.
The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking also positions the company as a leader in building the quantum internet.
The company’s innovative technology and rapid growth were recognized in Newsweek’s 2025 Excellence Index 1000, Forbes’ 2025 Most Successful Mid-Cap Companies list, and Built In’s 2025 100 Best Midsize Places to Work in
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Source: IonQ, Inc.