Technology areas: Computing & Software • Semiconductors, Circuits & Optics
10 pending office actions • 10 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Multiverse Computing S L has 11 pending office actions in Computing & Software. The matters involve 11 examiners and 10 art units, showing a broad examination footprint across the portfolio. The distribution of actions across nearly as many examiners as matters means prosecution knowledge cannot be limited to one examiner relationship.
HICKS, AUSTIN JAMES is the busiest examiner, with 1 pending matter. Counsel should maintain a unified claim and specification strategy while tracking differences among the art units. Examiner-specific preparation will be important because the profile does not show concentration with a single examiner.
The spread across 10 art units also supports matter-level docket review, particularly for identifying recurring claim language or technical positions. Portfolio coordination can help avoid inconsistent amendments while preserving arguments suited to each examination track.
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 only | 2 (20%) |
| §101 + other | 3 (30%) |
| §103 only | 2 (20%) |
| Multi-statute (no §101) | 2 (20%) |
| No statute on record | 1 (10%) |
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 |
|---|---|---|---|
| HICKS, AUSTIN JAMES | 1 | 75.0% | +25.8% |
| DINH, PAUL | 1 | 89.5% | +4.2% |
| GARNER, CASEY R | 1 | 71.2% | +17.1% |
| MRABI, HASSAN | 1 | 78.2% | +32.3% |
| DO, AN H | 1 | 90.4% | +7.2% |
| CHAVEZ, ANTHONY RAY | 1 | 7.7% | +46.2% |
| PULLIAM, JOSEPH CONSTANTINE | 1 | 38.5% | +33.2% |
| NATNITHITHADHA, NAVIN | 1 | 71.7% | +30.0% |
| TRAN, DANIEL DUC | 1 | 0.0% | +0.0% |
| TRAN, AMY NMN | 1 | 40.0% | +39.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17147142 | METHODS AND APPARATUSES FOR OPTIMAL DECISION WITH QUANTUM DEVICE | TRAN, AMY NMN | 53d overdue |
| 18399994 | Control with Scalable, Efficient Inference based on Non-Linear Tensor Networks | HICKS, AUSTIN JAMES | — |
| 18398883 | SYSTEM AND METHODS FOR IMPLEMENTING VARIATIONAL EQUIVARIANT QUANTUM CIRCUITS FOR QUANTUM MACHINE LEARNING AND RELATED METHODS | DINH, PAUL | — |
| 18374732 | Tensor Network-Enhanced Prime Factorization | DO, AN H | — |
| 18089238 | METHOD FOR GENERATING DATA INDICATIVE OF A DIGITAL TWIN | CHAVEZ, ANTHONY RAY | — |
| 18087779 | FERMIONIC TENSOR MACHINE LEARNING FOR QUANTUM CHEMISTRY | PULLIAM, JOSEPH CONSTANTINE | — |
| 17936968 | BRAIN ACTIVITY SENSING AND COMPUTER INTERFACING | NATNITHITHADHA, NAVIN | — |
| 17896841 | Quantum Computing Method | TRAN, DANIEL DUC | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17147142 | METHODS AND APPARATUSES FOR OPTIMAL DECISION WITH QUANTUM DEVICE | TRAN, AMY NMN | 53d overdue |
| 18399994 | Control with Scalable, Efficient Inference based on Non-Linear Tensor Networks | HICKS, AUSTIN JAMES | — |
| 18398879 | SYSTEM AND METHODS FOR IMPLEMENTING SYMMETRIC TENSOR NETWORKS FOR QUANTUM MACHINE LEARNING AND RELATED METHODS | GARNER, CASEY R | — |
| 18497513 | METHOD FOR ADJUSTING A BOOSTED CLASSIFIER, BOOSTED CLASSIFIER AND DEVICE OR SYSTEM FOR PERFORMING THE METHOD | MRABI, HASSAN | — |
| 18089238 | METHOD FOR GENERATING DATA INDICATIVE OF A DIGITAL TWIN | CHAVEZ, ANTHONY RAY | — |
| 18087779 | FERMIONIC TENSOR MACHINE LEARNING FOR QUANTUM CHEMISTRY | PULLIAM, JOSEPH CONSTANTINE | — |
| 17936968 | BRAIN ACTIVITY SENSING AND COMPUTER INTERFACING | NATNITHITHADHA, NAVIN | — |
| Art Unit | Apps |
|---|---|
| 2142 | 1 |
| 2851 | 1 |
| 2123 | 1 |
| 4100 | 1 |
| 2853 | 1 |
| 2186 | 1 |
| 2143 | 1 |
| 3791 | 1 |
| 2147 | 1 |
| 2126 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18399994 | Control with Scalable, Efficient Inference based on Non-Linear Tensor Networks | HICKS, AUSTIN JAMES | 2142 | §101§103 | Final Rejection | — | Pending | Dec 29, 2023 |
| 18398883 | SYSTEM AND METHODS FOR IMPLEMENTING VARIATIONAL EQUIVARIANT QUANTUM CIRCUITS FOR QUANTUM MACHINE LEARNING AND RELATED METHODS | DINH, PAUL | 2851 | §102§112 | Non-Final OA | — | Pending | Dec 28, 2023 |
| 18398879 | SYSTEM AND METHODS FOR IMPLEMENTING SYMMETRIC TENSOR NETWORKS FOR QUANTUM MACHINE LEARNING AND RELATED METHODS | GARNER, CASEY R | 2123 | §103 | Non-Final OA | — | Pending | Dec 28, 2023 |
| 18497513 | METHOD FOR ADJUSTING A BOOSTED CLASSIFIER, BOOSTED CLASSIFIER AND DEVICE OR SYSTEM FOR PERFORMING THE METHOD | MRABI, HASSAN | 4100 | — | Non-Final OA | — | Pending | Oct 30, 2023 |
| 18374732 | Tensor Network-Enhanced Prime Factorization | DO, AN H | 2853 | §101 | Non-Final OA | — | Pending | Sep 29, 2023 |
| 18089238 | METHOD FOR GENERATING DATA INDICATIVE OF A DIGITAL TWIN | CHAVEZ, ANTHONY RAY | 2186 | §101§103§112 | Final Rejection | — | Pending | Dec 27, 2022 |
| 18087779 | FERMIONIC TENSOR MACHINE LEARNING FOR QUANTUM CHEMISTRY | PULLIAM, JOSEPH CONSTANTINE | 2143 | §101§103 | Non-Final OA | — | Pending | Dec 22, 2022 |
| 17936968 | BRAIN ACTIVITY SENSING AND COMPUTER INTERFACING | NATNITHITHADHA, NAVIN | 3791 | §102§103 | Final Rejection | — | Pending | Sep 30, 2022 |
| 17896841 | Quantum Computing Method | TRAN, DANIEL DUC | 2147 | §103 | Non-Final OA | — | Pending | Aug 26, 2022 |
| 17147142 | METHODS AND APPARATUSES FOR OPTIMAL DECISION WITH QUANTUM DEVICE | TRAN, AMY NMN | 2126 | §101 | Non-Final OA | 53d overdue | Pending | Jan 12, 2021 |
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Start Free TrialMultiverse Computing S L has 10 pending office actions as of October 2026, spread across 10 art units and 10 examiners.
Austin James Hicks has the most, with 1 of Multiverse Computing S L's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
