IonQ (NYSE: IONQ), the world’s leading full-stack quantum platform and foundry, will present nine peer-reviewed research papers at the 2026 IEEE International Conference on Quantum Computing and Engineering in Toronto.

The conference, known as QCE26, is held at the Metro Toronto Convention Centre and stands as the premier international flagship event for quantum computing and engineering.

Four of IonQ’s nine accepted papers received QCE26 Best Paper Awards, a rare distinction reflecting the highest marks from independent peer reviewers across academia, industry, and government labs.

IonQ’s research spans quantum machine learning, computational fluid dynamics, protein folding, and quantum error-correction, demonstrating the company’s broad focus on real-world quantum applications.

Work presented at QCE26 was conducted in collaboration with Synopsys, Einride, Kipu Quantum, Oak Ridge National Laboratory, qBraid, QuantumBasel, Quantum Signals, and the University of Tennessee.

In one award-winning paper, IonQ and Kipu Quantum scaled quantum protein-folding optimization to 61-qubit instances on IonQ Tempo, reaching classical reference energies in four of six sequences.

A collaboration with Synopsys on quantum-accelerated graph partitioning improved end-to-end finite-element simulation time by up to 14.6% across industrial models with meshes up to 35 million elements.

Research conducted with Einride found up to 12.1% more shipments with no meaningful cost increase on real-world logistics data, scaled to instances of up to 130 qubits on IonQ Forte and Forte Enterprise.

A paper produced in collaboration with QuantumBasel and the University of Basel showed up to 24% lower classification error than the best classical baseline, with a measurable energy-to-solution break-even noted around 34 qubits.

IonQ’s Lisa Lambert, Vice President, Global Strategy and Managing Director, Canada; John Gamble, Vice President, Architecture; and Martin Roetteler, Vice President, Quantum Applications R&D will deliver the QCE26 keynote address titled “Engineering Quantum for Real-World Impact” on September 15.

IonQ researchers will also co-organize a workshop on quantum computing in biotherapeutics alongside CCRM and Moderna, targeting near- to medium-term optimization problems in advanced therapies.

Additional contributions include panels on quantum error correction featuring John Gamble alongside colleagues from AWS Quantum Technologies, and a session on distributed quantum architectures featuring IonQ’s Aharon Brodutch.

IonQ’s Abeynaya Gnanasekaran will lead a tutorial alongside the U.S. Naval Research Laboratory and RTX Corporation, introducing a new framework for more efficient decomposition in quantum linear algebra applications.

In 2025, IonQ achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance, underscoring the technical foundation behind its expanding research output.