Prosecution Insights
Prosecution Insights
8 pending office actions • 4 art units • 5 examiners • 0 of 8 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 5 (62%) |
| §103 only | 3 (38%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| HAN, KYU HYUNG | 3 | 50.0% | +29.2% |
| HEFFINGTON, JOHN M | 2 | 40.0% | +30.2% |
| DUONG, HUY | 1 | 68.5% | +26.2% |
| HOANG, MICHAEL H | 1 | 53.7% | +23.9% |
| DIEP, DUY T | 1 | 32.3% | +19.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18617014 | Enhancing Combinatorial Optimization with Quantum Generative Models | HAN, KYU HYUNG | — |
| 18498635 | ENHANCING OPTIMIZATION WITH AN EVOLUTIONARY GENERATIVE ALGORITHM USING QUANTUM OR CLASSICAL GENERATIVE MODELS | HAN, KYU HYUNG | — |
| 17946554 | QUANTUM-COMPUTING BASED METHOD AND APPARATUS FOR ESTIMATING GROUND-STATE PROPERTIES | DUONG, HUY | — |
| 17848301 | APPLICATION BENCHMARK USING EMPIRICAL HARDNESS MODELS | HOANG, MICHAEL H | — |
| 17544415 | ENHANCING COMBINATORIAL OPTIMIZATION WITH QUANTUM GENERATIVE MODELS | HAN, KYU HYUNG | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17525078 | GENERATION OF HIGHER-RESOLUTION DATASETS WITH A QUANTUM COMPUTER | DIEP, DUY T | 51d overdue |
| 18617014 | Enhancing Combinatorial Optimization with Quantum Generative Models | HAN, KYU HYUNG | — |
| 18498635 | ENHANCING OPTIMIZATION WITH AN EVOLUTIONARY GENERATIVE ALGORITHM USING QUANTUM OR CLASSICAL GENERATIVE MODELS | HAN, KYU HYUNG | — |
| 18324832 | QUANTUM ENHANCED LEARNING AGENT | HEFFINGTON, JOHN M | — |
| 17946554 | QUANTUM-COMPUTING BASED METHOD AND APPARATUS FOR ESTIMATING GROUND-STATE PROPERTIES | DUONG, HUY | — |
| 17848301 | APPLICATION BENCHMARK USING EMPIRICAL HARDNESS MODELS | HOANG, MICHAEL H | — |
| 17691493 | FLEXIBLE INITIALIZER FOR ARBITRARILY-SIZED PARAMETRIZED QUANTUM CIRCUITS | HEFFINGTON, JOHN M | — |
| 17544415 | ENHANCING COMBINATORIAL OPTIMIZATION WITH QUANTUM GENERATIVE MODELS | HAN, KYU HYUNG | — |
| Art Unit | Apps |
|---|---|
| 2123 | 3 |
| 2145 | 2 |
| 2182 | 1 |
| 2100 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18617014 | Enhancing Combinatorial Optimization with Quantum Generative Models | HAN, KYU HYUNG | 2123 | §101§103 | Non-Final OA | — | Pending | Mar 26, 2024 |
| 18498635 | ENHANCING OPTIMIZATION WITH AN EVOLUTIONARY GENERATIVE ALGORITHM USING QUANTUM OR CLASSICAL GENERATIVE MODELS | HAN, KYU HYUNG | — | §101§103 | Non-Final OA | — | Pending | Oct 31, 2023 |
| 18324832 | QUANTUM ENHANCED LEARNING AGENT | HEFFINGTON, JOHN M | 2145 | §103 | Non-Final OA | — | Pending | May 26, 2023 |
| 17946554 | QUANTUM-COMPUTING BASED METHOD AND APPARATUS FOR ESTIMATING GROUND-STATE PROPERTIES | DUONG, HUY | 2182 | §101§102§112 | Non-Final OA | — | Pending | Sep 16, 2022 |
| 17848301 | APPLICATION BENCHMARK USING EMPIRICAL HARDNESS MODELS | HOANG, MICHAEL H | 2100 | §101§102§103§112 | Non-Final OA | — | Pending | Jun 23, 2022 |
| 17691493 | FLEXIBLE INITIALIZER FOR ARBITRARILY-SIZED PARAMETRIZED QUANTUM CIRCUITS | HEFFINGTON, JOHN M | 2145 | §103 | Final Rejection | — | Pending | Mar 10, 2022 |
| 17544415 | ENHANCING COMBINATORIAL OPTIMIZATION WITH QUANTUM GENERATIVE MODELS | HAN, KYU HYUNG | 2123 | §101§103 | Non-Final OA | — | Pending | Dec 07, 2021 |
| 17525078 | GENERATION OF HIGHER-RESOLUTION DATASETS WITH A QUANTUM COMPUTER | DIEP, DUY T | 2123 | §103 | Non-Final OA | 51d overdue | Pending | Nov 12, 2021 |
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