IonQ has showcased quantum-enhanced applications advancing AI.
Takeaway Points
- IonQ has showcases quantum.
- In a different research publication, IonQ partnered with a top-tier automotive manufacturer.
- IonQ, Inc. is a leader in the quantum computing and networking industries.
AI and ML
IonQ , a leading commercial quantum computing and networking company, on Thursday announced a new research advancements in applying quantum computing to artificial intelligence (AI) and machine learning, marking significant progress in hybrid quantum-classical approaches that boost both large language models (LLMs) and generative AI.
In two new research papers, the computing company researchers showed how quantum computing can support advanced materials development by generating synthetic images of rare anomalies and enhancing large language models by adding a quantum layer for fine-tuning.
Masako Yamada, Director of Applications Development at IonQ, said, “This work highlights how quantum computing can be strategically integrated into classical AI workflows, taking advantage of increased expressivity to enhance traditional AI LLMs in rare-data regimes. LLMs have demonstrated versatility far beyond pure ‘language’ applications, and we believe hybrid quantum-classical models are well positioned to unlock the next wave of AI capabilities.”
Ariel Braunstein, SVP of Product at IonQ, commented, “This work is a compelling example of how the combination of IonQ’s quantum computers and classical machine learning can produce impressive results for materials science and manufacturing. Using classical computing to augment experimental data with synthetic generation can be expensive and limited in value. This work shows that a quantum hybrid approach can yield higher quality images with less data than classical methods and could lead to new applications across industries such as materials science, medical imaging, and financial forecasting.”
Research Report
In a recently published paper, IonQ introduced a hybrid quantum-classical architecture designed to improve LLM fine-tuning, where a pre-trained LLM is supplemented with a small set of training data to customize its functionality via quantum machine learning.
According to the report, in a different research publication, IonQ partnered with a top-tier automotive manufacturer to apply quantum-enhanced generative adversarial networks (GANs) to materials science. Researchers trained GANs to sample the output distribution of a quantum circuit, generating synthetic images of steel microstructures that augment conventional imaging techniques, where data is often sparse, and therefore model trainability is poor.
Partnership
IonQ said it has signed a memorandum of understanding (MOU) with AIST’s Global Research and Development Center for Business by Quantum AI (G-QuAT) to aid in advancing hybrid quantum computing technologies with AI.
About IonQ
IonQ, Inc. is a leader in the quantum computing and networking industries, delivering high-performance systems aimed at solving the world’s largest and most complex commercial and research use cases. IonQ’s current generation quantum computers, IonQ Forte and IonQ Forte Enterprise, are the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits.
The company’s innovative technology and rapid growth were recognized in Newsweek’s 2025 Excellence Index 1000, Forbes’ 2025 Most Successful Mid-Cap Companies list, and Built In’s 2025 100 Best Midsize Places to Work in Washington DC and Seattle, respectively. Available through all major cloud providers, IonQ is making quantum computing more accessible and impactful than ever before.
