Seoul, South Korea

Hanlae Jo

This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignees: Hyundai Motor Company, Ionq, Inc., Kia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hanlae Jo. Retrieved from https://idiyas.com/inventor/hanlae-jo

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Hanlae Jo: Innovator in Quantum Computing

Introduction

Hanlae Jo is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of quantum computing, particularly in the development of quantum convolutional neural networks. With a total of 2 patents, his work is paving the way for advancements in image recognition technologies.

Latest Patents

Hanlae Jo's latest patents include a groundbreaking method titled "Multiscale contiguous block pixel entangler for image recognition on hybrid quantum-classical computing system." This method involves implementing a quantum convolutional neural network (QCNN) in a hybrid quantum-classical computing system. The process includes a data load operation, convolutional layer operation, pooling operation, and measurement operation. The data load operation encodes pixel data of an input image onto a quantum processor using column and row qubits. The convolutional layer operation utilizes a contiguous block pixel entangler that entangles qubits based on the features to detect in the input image. The pooling layer applies a series of one-qubit operations, while the measurement operation assesses the state of an output qubit.

Another notable patent is the "Quantum convolutional neural network circuit." This patent outlines systems and methods for classifying objects in images using a QCNN. The method involves receiving an image, compressing it with an autoencoder, and encoding features into quantum states. The encoded features are then input into the QCNN, which is trained to detect objects and generate classifications.

Career Highlights

Throughout his career, Hanlae Jo has worked with notable companies such as IonQ, Inc. and Hyundai Motor Company. His experience in these organizations has contributed to his expertise in quantum computing and image recognition technologies.

Collaborations

Some of his coworkers include Jason John Iaconis and Soon Cheol Park. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Hanlae Jo is a visionary inventor whose work in quantum computing is shaping the future of image recognition. His patents reflect a deep understanding of both quantum mechanics and practical applications in technology. His contributions are expected to have a lasting impact on the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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