Nan Ding

Title: The Innovations of Nan Ding

Introduction

Nan Ding is a prominent inventor based in Los Angeles, CA. She has made significant contributions to the field of quantum computing and machine learning. With a total of nine patents to her name, her work is at the forefront of technological advancements.

Latest Patents

One of her latest patents is titled "Fidelity estimation for quantum computing systems." This invention involves methods and apparatus for estimating the fidelity of quantum hardware. The method includes accessing a set of quantum gates, sampling a subset of these gates to define a quantum circuit, and applying this circuit to a quantum system. Measurements are performed to determine output information, which is then used to estimate the fidelity of the quantum circuit.

Another notable patent is for "Multi-machine distributed learning systems." This system comprises a network of computers, including a master computer and slave computers. It is designed for machine learning problems that are partitioned into correlated sub-problems. Each slave computer is assigned a sub-problem and is configured to store associated variables or parameters. The system allows for efficient computation and updating of information without conflicts among the slave computers.

Career Highlights

Nan Ding currently works at Google Inc., where she continues to innovate in her field. Her work has garnered attention for its potential applications in quantum computing and distributed learning systems.

Collaborations

She collaborates with notable colleagues such as Hartmut Neven and Ryan Babbush, contributing to a dynamic research environment that fosters innovation.

Conclusion

Nan Ding's contributions to quantum computing and machine learning exemplify the spirit of innovation. Her patents reflect a deep understanding of complex systems and a commitment to advancing technology.