Last updated: July 17, 2026

Application No. 18/527,305

HETEROGENEOUS MODULAR ARCHITECTURE FOR QUANTUM COMPUTING

Non-Final OA

Filed

Dec 03, 2023

Examiner

MARU, MATIYAS T

Art Unit

Tech Center

Assignee

International Business Machines Corporation

OA Round

1 (Non-Final)

Interview Optional

— +7.6% interview lift. Interview lift (+7.6%) is below the 15.0% threshold. A written response is recommended.

Based on 48 resolved cases, 2023–2026

Examiner Intelligence

MARU, MATIYAS T View full profile →

Grants 62% of resolved cases

Career Allowance Rate

30 granted / 48 resolved

+2.5% vs TC avg

Moderate +8% lift

Without

With

+7.6%

Interview Lift

resolved cases with interview

Typical timeline

4y 3m

Avg Prosecution

27 currently pending

Career history

Total Applications

across all art units

Statute-Specific Performance

§101

18.6%

-21.4% vs TC avg

§103

79.7%

+39.7% vs TC avg

§112

1.7%

-38.3% vs TC avg

Black line = Tech Center average estimate • Based on career data from 48 resolved cases

Prosecution Timeline

Dec 03, 2023

Application Filed

May 18, 2026

Non-Final Rejection mailed

Jul 15, 2026

Interview Requested

Precedent Cases

Applications granted by this same examiner with similar technology

17/953,637

Patent 12682221

Techniques For Increasing Activation Sparsity In Artificial Neural Networks

3y 9m to grant Granted Jul 14, 2026

18/914,257

Patent 12664440

SYSTEM AND METHOD FOR A LARGE CODEWORD MODEL FOR DEEP LEARNING

1y 8m to grant Granted Jun 23, 2026

17/089,245

Patent 12645941

DATA SWAPPING FOR NEURAL NETWORK MEMORY CONSERVATION

5y 7m to grant Granted Jun 02, 2026

18/077,206

Patent 12626190

METHOD OF ANALYZING WIRELESS SIGNALS USING MULTI-TASK LEARNING-BASED SPECTRAL ANALYSIS LEARNING MODEL

3y 5m to grant Granted May 12, 2026

17/643,921

Patent 12614106

MACHINE LEARNING TECHNIQUES USING CROSS-MODEL FINGERPRINTS FOR NOVEL PREDICTIVE TASKS

4y 4m to grant Granted Apr 28, 2026

Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.

Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2

Expected OA Rounds

62%

Grant Probability

70%

With Interview (+7.6%)

4y 3m (~1y 7m remaining)

Median Time to Grant

Low

PTA Risk

Based on 48 resolved cases by this examiner. Grant probability derived from career allowance rate.