Yudong Cao

This inventor holds 18 USPTO granted patents and 16 published patent applications, plus 1 CIPO patent and 3 EPO patents, primarily in Quantum Computing. Top assignees: Zapata Computing, Inc., Harvard College. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yudong Cao. Retrieved from https://idiyas.com/inventor/yudong-cao

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

Calculating rank

USPTO Granted Patents = 18 (Patent Applications = 16)

% Patents Active = 94.4

CIPO Patents = 1 (Patent Applications = 7)

EPO Patents = 3 (Patent Applications = 13)

Average Co-Inventor Count = 1.7

ph-index = 4

Forward Citations = 55(Granted Patents)

Company Filing History:

15 out of 24

Zapata Computing, Inc.

Years Active: 2021-2026

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Areas of Expertise:

Quantum Computing

Hybrid Quantum-Classical

Error Correction

Bayesian Inference

Quantum Boltzmann Machines

Natural Language Processing

Quantum Circuit Embedding

Matrix Computations

Function Inversion

Optimization

Qubit Allocation

Fermi-Hubbard Hamiltonian

18 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12762442 - Quantum computing system and method for time evolution of bipartite Hamiltonians on a lattice (2026-10-13),

2. 12340277 - Hybrid quantum-classical computer for solving linear systems (2025-06-24),

3. 11966707 - Quantum enhanced word embedding for natural language processing (2024-04-23),

4. 11941484 - Generating non-classical measurements on devices with parameterized time evolution (2024-03-26),

5. 11861457 - Realizing controlled rotations by a function of input basis state of a quantum computer (2024-01-02),

6. 11689223 - Device-tailored model-free error correction in quantum processors (2023-06-27),

7. 11663513 - Quantum computer with exact compression of quantum states (2023-05-30),

8. 11615329 - Hybrid quantum-classical computer for Bayesian inference with engineered likelihood functions for robust amplitude estimation (2023-03-28),

9. 11605015 - Hybrid quantum-classical computer system for implementing and optimizing quantum Boltzmann machines (2023-03-14),

10. 11599344 - Computer architecture for executing quantum programs (2023-03-07),

11. 11537928 - Quantum-classical system and method for matrix computations (2022-12-27),

12. 11537770 - Quantum circuit embedding by simulated annealing (2022-12-27),

13. 11507872 - Hybrid quantum-classical computer system and method for performing function inversion (2022-11-22),

14. 11488049 - Hybrid quantum-classical computer system and method for optimization (2022-11-01),

15. 11468289 - Hybrid quantum-classical adversarial generator (2022-10-11),

Title: Inventor Yudong Cao: Pioneering Innovations in Quantum Computing

Introduction

Yudong Cao, an accomplished inventor based in Cambridge, MA, is at the forefront of innovations in quantum computing. With an impressive portfolio of 17 patents, Cao has made significant strides in the intersection of quantum mechanics and classical computing, contributing to advancements that can transform various fields, including natural language processing and linear systems.

Latest Patents

Among Yudong Cao's notable inventions are two of his latest patents. The first is a "Hybrid Quantum-Classical Computer for Solving Linear Systems," which involves a sophisticated blend of classical and quantum computing technologies. This system works by breaking down complex linear systems into smaller subsystems that can be efficiently processed by a quantum computer, coordinated by a classical computer that synthesizes the results into a complete solution.

Another significant patent is "Quantum Enhanced Word Embedding for Natural Language Processing," which introduces a quantum-enhanced method for generating word embeddings on a hybrid quantum-classical platform. This invention utilizes a training set and employs quantum state representations to evaluate correlations between words, offering a novel approach to natural language processing.

Career Highlights

Cao's career includes significant positions at influential organizations such as Zapata Computing, Inc. and Harvard College. His work in these settings has furthered the development of cutting-edge quantum computing solutions and applications, establishing him as a leader in this innovative field.

Collaborations

Throughout his career, Yudong Cao has collaborated with talented individuals, including Peter D. Johnson and Pierre-Luc Dallaire-Demers. These partnerships have helped enhance his research and expand the horizons of quantum computing technologies.

Conclusion

Yudong Cao exemplifies the spirit of innovation and creativity, particularly in the realm of quantum computing. His contributions through patented inventions not only push the boundaries of technology but also set the stage for future advancements in the field. With a promising career and a wealth of knowledge, Cao continues to inspire future generations of inventors and scientists.

Profile summary based on public USPTO records.