Northrop Grumman Patent Portfolio
40 US patents · Average 26 claims per patent
Technology Focus Areas
Patent Details
| Patent # | Title | Granted | Expires | Claims | Status |
|---|---|---|---|---|---|
| 10004422 | Computer-implemented method for improved 5G optimization | Dec 24, 2020 | Feb 7, 2038 | 27 | 11.8y left |
| 10004423 | Method for modular machine learning inference using quantum | Nov 12, 2005 | Nov 10, 2021 | 37 | Expired |
| 10004424 | Computer-implemented method for efficient photonic optimization | Mar 14, 2016 | Oct 12, 2034 | 11 | 8.5y left |
| 10004425 | Apparatus for high-performance data encoding in nano-scale systems | Oct 1, 2025 | Apr 24, 2043 | 9 | 17.0y left |
| 10004426 | Method for distributed channel estimation in lidar communications | Jul 24, 2018 | Apr 25, 2035 | 45 | 9.0y left |
| 10004427 | System for improved signal transmission in blockchain networks | Jun 3, 2017 | Feb 14, 2035 | 29 | 8.9y left |
| 10004428 | System for multi-layer neural network processing with edge | Mar 20, 2019 | Oct 24, 2037 | 11 | 11.5y left |
| 10004429 | Method for scalable machine learning inference using digital | May 27, 2027 | Feb 3, 2043 | 5 | 16.8y left |
| 10004430 | System for configurable signal transmission in lidar networks | Feb 24, 2022 | Jan 8, 2039 | 19 | 12.8y left |
| 10004431 | Method for high-performance machine learning inference using analog | Mar 22, 2019 | Sep 23, 2037 | 43 | 11.5y left |
| 10004432 | System and method for improved data processing using 5G | Mar 26, 2022 | Jul 21, 2039 | 8 | 13.3y left |
| 10004433 | Apparatus for autonomous computational operations in quantum environments | Apr 8, 2027 | Feb 21, 2043 | 33 | 16.9y left |
| 10004434 | Method for autonomous channel estimation in quantum communications | Sep 15, 2018 | Feb 18, 2035 | 8 | 8.9y left |
| 10004435 | Apparatus for distributed computational operations in MEMS environments | Jun 18, 2026 | May 7, 2042 | 23 | 16.1y left |
| 10004436 | Method for autonomous wireless communication using RF | Dec 28, 2026 | Jun 10, 2043 | 35 | 17.2y left |
| 10004437 | Method for modular wireless communication using digital | Mar 18, 2023 | Sep 1, 2041 | 22 | 15.4y left |
| 10004438 | Method for advanced machine learning inference using AI-driven | Jul 14, 2015 | Dec 27, 2031 | 6 | 5.7y left |
| 10004439 | System and method for integrated data processing using blockchain | Oct 3, 2003 | Feb 26, 2020 | 19 | Expired |
| 10004440 | System for distributed signal transmission in AI-driven networks | May 14, 2005 | Dec 3, 2021 | 41 | Expired |
| 10004441 | Apparatus for distributed data encoding in blockchain systems | Apr 17, 2027 | Dec 9, 2044 | 41 | 18.7y left |
| 10004442 | Apparatus for autonomous data encoding in digital systems | Apr 8, 2025 | Apr 28, 2042 | 42 | 16.1y left |
| 10004443 | System for adaptive signal transmission in AI-driven networks | Feb 20, 2021 | Jan 19, 2037 | 21 | 10.8y left |
| 10004444 | Method for configurable channel estimation in 5G communications | Jul 23, 2004 | Nov 28, 2020 | 17 | Expired |
| 10004445 | System for distributed neural network processing with digital | Jan 26, 2011 | Aug 19, 2028 | 26 | 2.4y left |
| 10004446 | Apparatus for distributed data encoding in analog systems | Feb 6, 2005 | Nov 20, 2022 | 34 | Expired |
| 10004447 | Method for modular wireless communication using 5G | Jun 28, 2027 | Nov 20, 2043 | 36 | 17.6y left |
| 10004448 | Apparatus for configurable computational operations in nano-scale environments | Aug 12, 2019 | Aug 10, 2035 | 47 | 9.3y left |
| 10004449 | Method for optimized machine learning inference using nano-scale | Apr 19, 2012 | Feb 15, 2028 | 16 | 1.9y left |
| 10004450 | Apparatus for efficient data encoding in 5G systems | Nov 3, 2006 | May 16, 2024 | 12 | Expired |
| 10004451 | Computer-implemented method for advanced quantum optimization | Jun 2, 2008 | Feb 8, 2024 | 29 | Expired |
| 10004452 | System and method for adaptive data processing using RF | Oct 17, 2025 | Jun 5, 2042 | 20 | 16.2y left |
| 10004453 | System and method for advanced data processing using RF | Jul 7, 2009 | Sep 7, 2025 | 37 | Expired |
| 10004454 | System for improved neural network processing with neural | Dec 1, 2019 | Mar 12, 2035 | 19 | 8.9y left |
| 10004455 | Method for configurable machine learning inference using CMOS | Oct 2, 2018 | Apr 19, 2036 | 33 | 10.0y left |
| 10004456 | Apparatus for improved computational operations in blockchain environments | Jul 19, 2019 | Aug 16, 2036 | 35 | 10.4y left |
| 10004457 | Method for optimized channel estimation in AI-driven communications | Aug 19, 2005 | Oct 1, 2023 | 37 | Expired |
| 10004458 | Method for modular wireless communication using photonic | Jun 13, 2024 | Aug 28, 2040 | 13 | 14.4y left |
| 10004459 | System for optimized neural network processing with RF | Oct 19, 2010 | Mar 19, 2027 | 46 | 0.9y left |
| 10004460 | System and method for low-latency data processing using nano-scale | Jan 3, 2004 | Jul 26, 2022 | 16 | Expired |
| 10004461 | Computer-implemented method for improved digital optimization | May 25, 2003 | Nov 18, 2021 | 40 | Expired |
Frequently Asked Questions
Northrop Grumman holds 40 US patents with an average of 26 claims per patent. The portfolio has a Patent Strength Score of 38/100 (Grade D).
Northrop Grumman has 2 patents expiring within 2 years and 3 patents expiring within 5 years. These expirations may create opportunities for competitors and generic entrants.
Northrop Grumman's key technology focus areas include Computing & Data Processing, Telecommunications. The portfolio spans 2 distinct technology classifications (CPC codes).
The Patent Strength Score (0-100, A-F) benchmarks a company's patent portfolio quality based on portfolio size (30%), claims breadth (25%), time remaining to expiration (25%), and portfolio diversity across technology areas (20%).
Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.
The this entity record above pulls directly from the FDA Orange Book and USPTO patent records. What follows is the per-entity context — how this entity sits in the broader U.S. pharmaceutical patent expirations distribution and which underlying factors drive the headline numbers.
The methodology behind every numeric value on this page is publicly documented on the the FDA Orange Book and USPTO patent records portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
For readers using this page as a decision input, the related-entity pages elsewhere on the site provide the comparison set. The most useful comparison for this entity is typically a peer within U.S. brand-name drugs with similar size, similar exposure, or similar geography — not the national-level summary alone.
Source: USPTO patent search, 2026.