IonQ to Present Nine Peer-Reviewed Papers and Take Part in Seven Events at 2026 IEEE Quantum Week

• IonQ research spans quantum machine learning, computational fluid dynamics, protein folding, and quantum error-correction – across nine papers accepted for peer review

• Company research leaders will deliver a keynote address, lead a tutorial, and contribute to workshops and panels throughout the QCE26 program

• Work conducted with Synopsys, Einride, Kipu Quantum, Oak Ridge National Laboratory, qBraid, QuantumBasel, Quantum Signals, and the University of Tennessee.

COLLEGE PARK, Md., September 14, 2026--IonQ (NYSE: IONQ), the world's leading full-stack quantum platform and foundry, today announced it will take part in the 2026 IEEE International Conference on Quantum Computing and Engineering (QCE26) meeting. IEEE is the premier international flagship conference for quantum computing and engineering. IonQ will present nine peer-reviewed research papers and participate in six additional events throughout this week's IEEE Quantum program at the Metro Toronto Convention Centre in Toronto. In addition, IonQ's quantum experts and researchers will participate in a keynote address, a tutorial, technical workshops, poster presentations, and panels.

IEEE, publisher of one of the most respected and cited journals for innovation, accepted IonQ's papers. These publications span a wide range of high-impact research areas, from clinical data imputation and protein folding to industrial fluid dynamics and freight logistics. This body of work reflects IonQ's leadership in advancing real-world quantum applications and impactful quantum research.

Four of IonQ's accepted papers were recognized with QCE26 Best Paper Awards, a rare distinction at the field's flagship peer-reviewed conference. Best Paper Awards at IEEE Quantum Week reflect the highest marks from independent peer reviewers across academia, industry, and government labs. Winning across multiple tracks in a single year underscores the breadth of IonQ's applications research and its focus on results that hold up under rigorous external scrutiny.

IonQ Peer-Reviewed Papers at QCE26

Protein Folding on a 64 Qubit Trapped-Ion Hardware via Counterdiabatic Quantum Optimization [won a Best Paper award]
Authors: Alejandro Gomez Cadavid, Pavle Nikačević, Pranav Chandarana, Sebastian Romero, Enrique Solano, Narendra Hegade, Miguel Angel Lopez-Ruiz, Claudio Girotto, Hanna Linn, Hakan Doga, Evgeny Epifanovsky, Panagiotis Kl. Barkoutsos, Ananth Kaushik, Martin Roetteler
In collaboration with Kipu Quantum, the research scaled quantum protein-folding optimization to 61-qubit instances on IonQ Tempo. The results reached classical reference energies in four of six sequences through a hybrid quantum-classical workflow.
Session: QECS::629::968::939 – Sept. 14, 10:00–11:30 a.m., Room 802A/B