Durham, NC, United States of America

Qingzhong Liang


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Qingzhong Liang in Quantum Computing

Introduction

Qingzhong Liang is a prominent inventor based in Durham, NC, specializing in quantum computing technologies. He has made significant contributions to the field, particularly in the area of quantum error correction. With a total of two patents to his name, Liang's work is paving the way for advancements in quantum systems.

Latest Patents

Liang's latest patents focus on innovative technologies for performing error correction in quantum circuits. One of his patents, titled "Codesign of quantum error correcting codes and physical and logical gates," discloses methods for selecting a quantum error correction code (QECC) associated with a codespace. The quantum computing system identifies diagonal physical gates in the quantum circuit that induce a target logical gate while preserving the codespace. This configuration allows for the implementation of a quantum error correction protocol using the QECC and identified diagonal physical gates. Another patent addresses coherent noise in quantum systems, detailing a method to passively correct measurement errors caused by coherent noise. This technology effectively reduces coherent noise to act as an identity operator in a protected subspace of a Hilbert vector space.

Career Highlights

Qingzhong Liang is affiliated with Duke University, where he continues to advance research in quantum computing. His work has garnered attention for its potential to enhance the reliability and efficiency of quantum systems.

Collaborations

Liang collaborates with notable colleagues, including Arthur Robert Calderbank and Jingzhen Hu, who contribute to his research endeavors in quantum technologies.

Conclusion

Qingzhong Liang's innovative work in quantum error correction is instrumental in the evolution of quantum computing. His patents reflect a deep understanding of the complexities involved in quantum systems and offer promising solutions for future advancements.

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