IonQ wins four best-paper awards at quantum computing conference

IonQ had four papers recognized with Best Paper Awards at the 2026 IEEE International Conference on Quantum Computing and Engineering, a rare achievement at the field’s flagship peer-reviewed event, the company says. The company will present a total of nine accepted research papers this week, ranging from advances in protein folding to optimizations for freight logistics, reflecting IonQ’s focus on real-world quantum applications. These publications, accepted by IEEE, publisher of highly-cited journals, demonstrate IonQ’s breadth of research and its ability to withstand rigorous external scrutiny. “Winning across multiple tracks in a single year underscores the breadth of IonQ’s applications research,” said a company representative. IonQ Wins Four Best Paper Awards at 2026 IEEE Quantum Week The awards acknowledge the quality and impact of IonQ’s contributions to quantum computing research, judged by independent peer reviewers from academia, industry, and government laboratories. This level of recognition signals a growing maturity in IonQ’s research program, extending beyond foundational science into applied quantum solutions, according to the company. IonQ’s research portfolio, as presented at the conference, extends beyond theoretical advancements to address challenges in diverse fields. The accepted papers detail work ranging from optimizing protein folding, a critical step in drug discovery, to improving the efficiency of freight logistics. This breadth of application is underscored by collaborations with organizations like Kipu Quantum, Synopsys, and Einride, demonstrating a commitment to translating quantum potential into tangible results. The company’s focus on real-world problems is reflected in the selection of topics, moving beyond abstract algorithms toward practical implementations. The award-winning paper detailing quantum protein folding utilized 61 qubits on IonQ’s Tempo system, achieving results comparable to classical reference energies in four of six test sequences. Researchers, led by Alejandro Gomez Cadavid, employed a hybrid quantum-classical workflow to scale the optimization process, a technique increasingly favored for near-term quantum devices. Another winning paper focused on quantum-accelerated linear algebra, demonstrating a 14.6 percent improvement in finite-element simulation time using industrial models with meshes up to 35 million elements, a result achieved in collaboration with Synopsys. IonQ’s research also addresses the challenges of scaling quantum machine learning. A paper on quantum parity representations showed accuracy improvements of up to 41.7 percent while maintaining classical inference, a key step toward practical quantum machine learning algorithms. This work, led by Sang Hyub Kim, highlights the potential of quantum resources to enhance classical machine learning models.

The team’s research into AI-assisted distributed quantum optimization, conducted with Oak Ridge National Laboratory and a leading chip manufacturer, explored methods to tackle complex combinatorial problems using a combination of quantum and classical computing, the company says. The company’s commitment to hardware development is also evident in the research presented. A paper detailing mid-circuit measurements for Clifford noise reduction on IonQ’s Tempo system demonstrated a method for using the unique capabilities of IonQ’s hardware to improve the fidelity of quantum computations. IonQ is developing 256-qubit trapped-ion systems for delivery in 2026, with Horizon Quantum as the first customer for a 256-qubit machine. IonQ’s Lisa Lambert, John Gamble, and Martin Roetteler will deliver the QCE26 keynote address, “Engineering Quantum for Real-World Impact,” on September 15, further solidifying the company’s position as a leader in the field. Source: http://www.businesswire.com/news/home/20260914545337/en/IonQ-to-Present-Nine-Peer-Reviewed-Papers-and-Take-Part-in-Seven-Events-at-2026-IEEE-Quantum-Week/ More like thisQuantum Hardwareplanqc and LOGIQC to Build Error-Corrected Quantum ComputerQuantum Research NewsResearchers Find Near-Perfect Quantum Data Transmission Via WeightingQuantum Research NewsWake Forest opens lab for room-temperature quantum processorsQuantum ComputingFrom Microwave Layout to Quantum DynamicsStay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Dr. Donovan Dr. Donovan is a futurist and technology writer covering the quantum revolution. Where classical computers manipulate bits that are either on or off, quantum machines exploit superposition and entanglement to process information in ways that classical physics cannot. Dr. Donovan tracks the full quantum landscape: fault-tolerant computing, photonic and superconducting architectures, post-quantum cryptography, and the geopolitical race between nations and corporations to achieve quantum advantage. The decisions being made now, in research labs and government offices around the world, will determine who controls the most powerful computers ever built. Latest Posts by Dr. Donovan: Carahsoft to distribute Quantum XChange’s FIPS-validated platform September 22, 2026 Chulalongkorn University and Qunova Computing to Jointly Research Quantum Tech September 22, 2026 Marist to use IBM z17 for quantum finance research September 22, 2026