Search

Rakesh Bhaskarbhai Patel

Examiner (ID: 8452, Phone: (571)272-0961 , Office: P/2842 )

Most Active Art Unit
2843
Art Unit(s)
2842, 2843, 2817
Total Applications
1053
Issued Applications
920
Pending Applications
76
Abandoned Applications
82

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 19971662 [patent_doc_number] => 12340277 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-06-24 [patent_title] => Hybrid quantum-classical computer for solving linear systems [patent_app_type] => utility [patent_app_number] => 16/591239 [patent_app_country] => US [patent_app_date] => 2019-10-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 9374 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 240 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16591239 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/591239
Hybrid quantum-classical computer for solving linear systems Oct 1, 2019 Issued
Array ( [id] => 16730196 [patent_doc_number] => 20210097343 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-01 [patent_title] => METHOD AND APPARATUS FOR MANAGING ARTIFICIAL INTELLIGENCE SYSTEMS [patent_app_type] => utility [patent_app_number] => 16/584652 [patent_app_country] => US [patent_app_date] => 2019-09-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 25595 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 197 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16584652 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/584652
METHOD AND APPARATUS FOR MANAGING ARTIFICIAL INTELLIGENCE SYSTEMS Sep 25, 2019 Abandoned
Array ( [id] => 16393603 [patent_doc_number] => 20200334544 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-22 [patent_title] => METHOD, DEVICE AND COMPUTER PROGRAM PRODUCT FOR PROCESSING MACHINE LEARNING MODEL [patent_app_type] => utility [patent_app_number] => 16/542757 [patent_app_country] => US [patent_app_date] => 2019-08-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7005 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 103 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16542757 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/542757
METHOD, DEVICE AND COMPUTER PROGRAM PRODUCT FOR PROCESSING MACHINE LEARNING MODEL Aug 15, 2019 Pending
Array ( [id] => 18000088 [patent_doc_number] => 11501197 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-11-15 [patent_title] => Systems and methods for quantum computing based sample analysis [patent_app_type] => utility [patent_app_number] => 16/542199 [patent_app_country] => US [patent_app_date] => 2019-08-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 17420 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16542199 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/542199
Systems and methods for quantum computing based sample analysis Aug 14, 2019 Issued
Array ( [id] => 16616903 [patent_doc_number] => 20210035556 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-04 [patent_title] => FINE-TUNING LANGUAGE MODELS FOR SUPERVISED LEARNING TASKS VIA DATASET PREPROCESSING [patent_app_type] => utility [patent_app_number] => 16/530050 [patent_app_country] => US [patent_app_date] => 2019-08-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7068 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16530050 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/530050
FINE-TUNING LANGUAGE MODELS FOR SUPERVISED LEARNING TASKS VIA DATASET PREPROCESSING Aug 1, 2019 Abandoned
Array ( [id] => 16577832 [patent_doc_number] => 20210012233 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => ADAPTIVE COMPILATION OF QUANTUM COMPUTING JOBS [patent_app_type] => utility [patent_app_number] => 16/508887 [patent_app_country] => US [patent_app_date] => 2019-07-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13547 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 58 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16508887 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/508887
ADAPTIVE COMPILATION OF QUANTUM COMPUTING JOBS Jul 10, 2019 Abandoned
Array ( [id] => 16543880 [patent_doc_number] => 20200410295 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-31 [patent_title] => ANALYZING AND CORRECTING VULNERABILITIES IN NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/619338 [patent_app_country] => US [patent_app_date] => 2019-06-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6109 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -46 [patent_words_short_claim] => 180 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16619338 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/619338
Analyzing and correcting vulnerabilities in neural networks Jun 26, 2019 Issued
Array ( [id] => 14999539 [patent_doc_number] => 20190318727 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-17 [patent_title] => SUB-MATRIX INPUT FOR NEURAL NETWORK LAYERS [patent_app_type] => utility [patent_app_number] => 16/452959 [patent_app_country] => US [patent_app_date] => 2019-06-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11769 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16452959 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/452959
Sub-matrix input for neural network layers Jun 25, 2019 Issued
Array ( [id] => 19293726 [patent_doc_number] => 12033080 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-07-09 [patent_title] => Sparse recovery autoencoder [patent_app_type] => utility [patent_app_number] => 16/442203 [patent_app_country] => US [patent_app_date] => 2019-06-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 8912 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 127 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16442203 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/442203
Sparse recovery autoencoder Jun 13, 2019 Issued
Array ( [id] => 16146569 [patent_doc_number] => 10706356 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-07-07 [patent_title] => System and method for understanding human level meaning using a 9-dimensional hypercube of cognitive frames [patent_app_type] => utility [patent_app_number] => 16/434491 [patent_app_country] => US [patent_app_date] => 2019-06-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 21 [patent_figures_cnt] => 21 [patent_no_of_words] => 12332 [patent_no_of_claims] => 10 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 276 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16434491 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/434491
System and method for understanding human level meaning using a 9-dimensional hypercube of cognitive frames Jun 6, 2019 Issued
Array ( [id] => 15215987 [patent_doc_number] => 20190370680 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-05 [patent_title] => Method and System for a Quantum Oracle to Obtain the Number of Quantum Ground States [patent_app_type] => utility [patent_app_number] => 16/427112 [patent_app_country] => US [patent_app_date] => 2019-05-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5327 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 141 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16427112 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/427112
Method and system for a quantum oracle to obtain the number of quantum ground states May 29, 2019 Issued
Array ( [id] => 17231178 [patent_doc_number] => 20210357735 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-18 [patent_title] => SPLIT ACCUMULATOR FOR CONVOLUTIONAL NEURAL NETWORK ACCELERATOR [patent_app_type] => utility [patent_app_number] => 17/250890 [patent_app_country] => US [patent_app_date] => 2019-05-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4485 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [patent_words_short_claim] => 201 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17250890 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/250890
SPLIT ACCUMULATOR FOR CONVOLUTIONAL NEURAL NETWORK ACCELERATOR May 20, 2019 Pending
Array ( [id] => 15152785 [patent_doc_number] => 20190354870 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-21 [patent_title] => Systems and Methods for Debugging Neural Networks with Coverage Guided Fuzzing [patent_app_type] => utility [patent_app_number] => 16/415693 [patent_app_country] => US [patent_app_date] => 2019-05-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6564 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 136 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16415693 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/415693
Systems and methods for debugging neural networks with coverage guided fuzzing May 16, 2019 Issued
Array ( [id] => 17047224 [patent_doc_number] => 11100409 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-08-24 [patent_title] => Machine learning assisted transaction component settlement [patent_app_type] => utility [patent_app_number] => 16/412076 [patent_app_country] => US [patent_app_date] => 2019-05-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 9780 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 432 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16412076 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/412076
Machine learning assisted transaction component settlement May 13, 2019 Issued
Array ( [id] => 16401472 [patent_doc_number] => 20200342330 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-29 [patent_title] => MIXED-BINARY CONSTRAINED OPTIMIZATION ON QUANTUM COMPUTERS [patent_app_type] => utility [patent_app_number] => 16/395560 [patent_app_country] => US [patent_app_date] => 2019-04-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11719 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 35 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16395560 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/395560
MIXED-BINARY CONSTRAINED OPTIMIZATION ON QUANTUM COMPUTERS Apr 25, 2019 Abandoned
Array ( [id] => 16857481 [patent_doc_number] => 20210158226 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-27 [patent_title] => MACHINE LEARNING SYSTEM, MACHINE LEARNING METHOD, AND PROGRAM [patent_app_type] => utility [patent_app_number] => 17/047028 [patent_app_country] => US [patent_app_date] => 2019-04-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 38920 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17047028 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/047028
Machine learning system, machine learning method, and program Apr 11, 2019 Issued
Array ( [id] => 18607197 [patent_doc_number] => 11748665 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-09-05 [patent_title] => Quantum feature kernel alignment [patent_app_type] => utility [patent_app_number] => 16/374354 [patent_app_country] => US [patent_app_date] => 2019-04-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 12 [patent_no_of_words] => 9826 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 273 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16374354 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/374354
Quantum feature kernel alignment Apr 2, 2019 Issued
Array ( [id] => 16346288 [patent_doc_number] => 20200310939 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-01 [patent_title] => REQUEST FLOW LOG RETRIEVAL [patent_app_type] => utility [patent_app_number] => 16/370713 [patent_app_country] => US [patent_app_date] => 2019-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8680 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16370713 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/370713
Request flow log retrieval Mar 28, 2019 Issued
Array ( [id] => 16331366 [patent_doc_number] => 20200302332 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-24 [patent_title] => CLIENT-SPECIFIC DOCUMENT QUALITY MODEL [patent_app_type] => utility [patent_app_number] => 16/359591 [patent_app_country] => US [patent_app_date] => 2019-03-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5427 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16359591 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/359591
CLIENT-SPECIFIC DOCUMENT QUALITY MODEL Mar 19, 2019 Abandoned
Array ( [id] => 18291663 [patent_doc_number] => 11620534 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-04 [patent_title] => Automatic generation of Ising Hamiltonians for solving optimization problems in quantum computing [patent_app_type] => utility [patent_app_number] => 16/356608 [patent_app_country] => US [patent_app_date] => 2019-03-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 8344 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 200 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16356608 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/356608
Automatic generation of Ising Hamiltonians for solving optimization problems in quantum computing Mar 17, 2019 Issued
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