IonQ and partners show practical applications and future roadmap at IEEE 2026

IonQ and its research partners are demonstrating a shift from theoretical quantum computing to practical application, with 10 peer-reviewed papers accepted at IEEE QCE26, the company says. The research mirrors a historical transition seen with GPUs and deep learning, where a surge in processing power reshaped the software landscape. IonQ notes that advances in parallel compute are driving a new paradigm. IonQ’s work earned both Best and 3rd Best papers in the Quantum End-to-End Hybrid Case Studies track, including a study detailing “Protein Folding on a 64-Qubit Trapped-Ion Hardware.” IonQ is showcasing major research momentum at the event, earning 4 medals across 10 accepted peer-reviewed papers, including two first-place wins for work on quantum-accelerated AI fine-tuning and quantum-accelerated engineering simulations. With partner Synopsys, IonQ integrated a quantum-classical solver into Synopsys/Ansys LS-DYNA for Finite Element Analysis, scaling workflows to 150 qubits in NVIDIA simulations and 36 qubits on IonQ Forte hardware. The work showed best-case wall-clock-time improvements of 14.6% in simulation and approximately 12% on real hardware. On the AI side, IonQ and QuantumBasel successfully…