Durham, NC, United States of America

Qiyao Liang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Qiyao Liang in Quantum Computing

Introduction

Qiyao Liang is an innovative inventor based in Durham, NC, who has made significant contributions to the field of quantum computing. With a focus on enhancing the performance of quantum gate operations, his work is on the cutting edge of technological advancements that could redefine computational capabilities.

Latest Patents

Qiyao Liang holds a patent titled "Implementation of batch optimization for robust two-qubit gates for quantum computation." This patent describes advanced techniques aimed at optimizing the performance of two-qubit gate operations within quantum circuits. The quantum computing system he developed employs a method where pairs of qubits are selected from a quantum circuit to perform gate operations. Interestingly, it also incorporates a strategy where intentional noise is introduced and optimized to enhance the efficiency of these quantum gate operations.

Career Highlights

As a key researcher at Duke University, Qiyao Liang has been at the forefront of quantum computing research. His work continues to bridge the gap between theoretical research and practical applications, demonstrating a commitment to expanding the capabilities of quantum technologies. His patent serves as a testament to his ingenuity and dedication to advancing the field.

Collaborations

Qiyao Liang has collaborated with esteemed colleagues, including Kenneth Brown and Mingyu Kang. Together, they contribute to the vibrant research environment at Duke University, pushing the boundaries of what is achievable in quantum computing.

Conclusion

Qiyao Liang's innovative contributions and successful patent reflect his passion for enhancing quantum technology. His work not only propels the field of quantum computing forward but also serves as an inspiration for aspiring inventors and researchers. As the landscape of technology evolves, the implications of his work will likely have a lasting impact on the future of computation.

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