COLLEGE PARK, Md., Aug. 28, 2025 — IonQ today announced it will be taking part in the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE25) taking place August 31 to September 5 in Albuquerque, New Mexico. IonQ will present four peer-reviewed research papers and participate in 12 onsite events including multiple technical workshops and panels at IEEE Quantum Week.

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:

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.

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.

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 with Ansys, 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.

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 Alex Ratcliffe, Sainath Motlakunta, Aharon Brodutch, Mihir Bhaskar, Evgeny Epifanovsky, Masako Yamada, Martin Roetteler, and Marco Pistoia will contribute to 12 panels and workshops across the QCE25 program spanning quantum applications in finance, chemistry, life sciences and AI, as well as topics on quantum architectures, interconnects, and networking.

For more information about IonQ’s participation at QCE25 and the company’s latest announcements, please visit www.ionq.com.

About IonQ

IonQ, Inc. (NYSE: IONQ) is a 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.

Source: IonQ