Company patents
IonQ, Inc.
IonQ, Inc.'s patent strategy is surprisingly concentrated, with an overwhelming 82.8% of its portfolio in Machine Learning & AI, despite a recent decline in filings within this core area (down 3.4% in 2025 and 43.9% so far in 2026). While most categories show a significant drop in filings for 2026, the company demonstrated a notable emerging focus in Liquid Crystal & Optical Modulators, which saw a 100.0% YoY growth in 2025, suggesting a potential diversification into optical hardware components.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
250 US filings (since 2023) · 12 categories · 9 themes
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Techniques and devices for generating, shaping, focusing, and deflecting electron or ion beams, often involving multi-pole lenses, deflectors, and aberration correction for applications like microscopy or processing.
Methods and apparatus for precise wafer positioning, ion beam uniformity, and dose monitoring during ion implantation processes in semiconductor device manufacturing.
The design and manufacturing of integrated circuits that combine optical and electronic components, particularly for high-speed data communication between processors and memory.
Engineering of artificial subwavelength structures (meta-atoms) to create metasurfaces that manipulate light properties (phase, polarization, wavelength) for multi-functional optical devices.
Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.
Systems and methods for delivering radio frequency (RF) power to plasma processing chambers, including impedance matching, pulse shaping, and feedback control for stable and efficient plasma generation.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.
Patents
Showing 1-1 of 1
Component Performance Optimization