IonQ Highlighted in 12 Events and 4 Scientific Papers at 2025 IEEE International Conference on Quantum Computing and Engineering
IonQ’s scientific leadership in quantum computing highlighted by scientific papers accepted for peer-review and company’s participation in 12 onsite events
IonQ (NYSE: IONQ), the leading commercial quantum computing and networking company, today announced it will be taking part in the 2025
IEEE – publisher of one of the most respected and cited journals for innovation – accepted IonQ’s papers spanning a wide range of high-impact research areas, from quantum machine learning to simulations applying quantum computing for energy optimization. This body of work reflects IonQ’s leadership in advancing real-world quantum applications, impactful quantum research, and more than 1000 assets in its patent portfolio.
IonQ’s research team will present the following peer-reviewed papers at QCE25:
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A New Hybrid Algorithm for Solving the Unit Commitment Problem
Authors:Willie Aboumrad , Phani R V Marthi,Suman Debnath , Martin Roetteler, Evgeny Epifanovsky
Introduces a novel hybrid quantum-classical algorithm to address the Unit Commitment Problem, a core optimization challenge in energy grid management.
Session: TP10::QAPP::749 –Aug. 31 , 10:00–11:30 a.m.
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Accelerating Large-Scale Linear Algebra Using Variational Quantum Imaginary Time Evolution
Authors:Willie Aboumrad ,Daiwei Zhu ,Claudio Girotto , Francois-Henry Rouet,Jezer Jojo ,Robert Lucas ,Jay Pathak ,Ananth Kaushik , Martin Roetteler
Demonstrates how variational quantum imaginary time evolution can accelerate large-scale linear algebra computations central to scientific and engineering applications.
Session: TP12::QAPP::313 –Aug. 31 , 3:00–4:30 p.m.
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Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method
Authors:Apurva Tiwari ,Jason Iaconis ,Jezer Jojo , Sayonee Ray, Martin Roetteler,Chris Hill ,Jay Pathak
In collaboration withAnsys , presents the most advanced demonstration to date of the Quantum Lattice Boltzmann Method on quantum hardware, paving the way for future breakthroughs in computational fluid dynamics.
Session: TP76::QAPP::407 –Sept. 5 , 1:00–2:30 p.m.
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Quantum Language Model Fine Tuning
Authors:Sang Kim ,Jonathan Mei ,Claudio Girotto ,Masako Yamada , Martin Roetteler
Explores hybrid quantum-classical architecture for fine-tuning large language models, highlighting potential applications in image processing, property prediction in chemistry, biology and materials science.
Session: TP70::QAPP::369 –Sept. 5 , 1:00–2:30 p.m.
Peer-review versions of these technical papers will be available through the IEEE website at the start of the QCE25 event. IonQ’s body of peer-reviewed research validates the quality of the company’s research and reinforces the company’s commitment to pushing the boundaries of quantum computing with new capabilities that can outperform classical computing.
In addition to technical paper sessions, IonQ’s research team including
For more information about IonQ’s participation at QCE25 and the company’s latest announcements, please visit www.ionq.com.
About IonQ
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
IonQ Forward-Looking Statements
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Source: IonQ