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Paper Citation Record · LEDGER

Quantum embeddings for machine learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2001.03622.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2001.03622 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:04.877002Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

71
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 342d04a7-21d1-4f47-aebd-0b8e10ff4478 · inbound

Mean-field limit from general mixtures of experts to quantum neural networks cites this paper.

Mean-field limit from general mixtures of experts to quantum neural networks Quantum embeddings for machine learning

Reference 28

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arxiv_id, observed 2026-05-23T05:32:36.192201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T05:32:20.919412Z digest=sha256:93472f19481187ac798a404584ddfe1832feefac26971ba0296dd914787bc200

Observation c8a49519-2e1e-4dff-bf1f-9536bc26c4e1 · inbound

New aspects of quantum topological data analysis: Betti number estimation, and testing and tracking of homology and cohomology classes cites this paper.

New aspects of quantum topological data analysis: Betti number estimation, and testing and tracking of homology and cohomology classes Quantum embeddings for machine learning

Reference 8

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arxiv_id, observed 2026-05-19T12:07:20.830465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:06:38.050214Z digest=sha256:328a8d217c66fc03d76c2ce3014d1d383a7a3adb3fc9d01dee35a0387bb9d285

Observation 07cf3dc9-1883-4be2-b1ad-a53c83eabc13 · inbound

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential cites this paper.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum embeddings for machine learning

Reference 66

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source=arxiv_source observed=2026-08-07T11:03:04.877002Z digest=sha256:5b058ea0e88086f5f9fa50c3b598c9a7fc58d1985deeced9c7198f0aac8edce8

Observation 0e49750b-29bd-4b5c-a83b-87cd36291794 · inbound

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks cites this paper.

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks Quantum embeddings for machine learning

Reference 20

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arxiv_id, observed 2026-05-19T08:02:10.682852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T07:59:06.404337Z digest=sha256:7254493a8872f2b9464ed64d3b8cff4a33971b5fd79ec162f318eb0204ea0763

Observation 9351f494-baec-4d62-81ff-c4c69ae67c5a · inbound

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses cites this paper.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum embeddings for machine learning

Reference 8

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no resolver link, observed 2026-08-06T22:22:09.368321Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:22:09.368321Z digest=sha256:e1fe51a49fae08d0625ecbf6589af4f6d976e2824f820119f91c27db7199eba7

Observation fd2025e1-90f0-4503-9f1d-9096295d84c6 · inbound

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks cites this paper.

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks Quantum embeddings for machine learning

Reference 28

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no resolver link, observed 2026-08-06T22:12:37.758196Z

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source=pdf_text observed=2026-08-06T22:12:37.758196Z digest=sha256:e6db1a0254f20c9e46a3f9d4ddef8597964f7b84e21ca090df59624ee897bb9a

Observation 92d23d08-cbf6-4ca0-b4ee-d55bb5446a30 · inbound

Enhanced Quantum behavior on frustrated Ising model: Quantum Approximate Optimization Algorithm study cites this paper.

Enhanced Quantum behavior on frustrated Ising model: Quantum Approximate Optimization Algorithm study Quantum embeddings for machine learning

Reference 34

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no resolver link, observed 2026-08-06T18:45:54.731274Z

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source=arxiv_source observed=2026-08-06T18:45:54.731274Z digest=sha256:fe246f20fd3e95dfb16c30d7a992b1e8d60e5af70ec04ea13388662361e568b0

Observation bb08001b-18e0-415c-9fd2-d98b30535a7e · inbound

Efficient classical computation of the neural tangent kernel of quantum neural networks cites this paper.

Efficient classical computation of the neural tangent kernel of quantum neural networks Quantum embeddings for machine learning

Reference 8

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arxiv_id, observed 2026-05-22T13:44:52.897205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:43:57.680890Z digest=sha256:8497b4a489720aaba313a8083fe082845a64ec145543d96af0a6e65e71a35fdd

Observation dadfe139-a2b7-4aa2-b2f0-dde542031c64 · inbound

Hybrid Quantum-Classical Learning for Multiclass Image Classification cites this paper.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quantum embeddings for machine learning

Reference 38

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source=pdf_text observed=2026-08-05T16:38:26.490727Z digest=sha256:0e27f381c91d26a46f14d914662d8a8cc0b659e024e518c2ce1f617281daa0df

Observation b679a258-df13-4ac8-8dba-a23fd633bc9c · inbound

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding cites this paper.

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding Quantum embeddings for machine learning

Reference 20

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source=arxiv_source observed=2026-08-05T15:51:00.208344Z digest=sha256:3ab12a322664d58480b6f6a6a78a3cb92a75408761d929542dd6fa448db29614

Observation 17bec832-9dd1-4f5c-940c-9704556b2d08 · inbound

Fourier Fingerprints of Ansatzes in Quantum Machine Learning cites this paper.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum embeddings for machine learning

Reference 19

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no resolver link, observed 2026-08-05T14:50:33.696694Z

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source=pdf_text observed=2026-08-05T14:50:33.696694Z digest=sha256:9c3a1f2aefe0591ce16bbc8ffa3ccc5c0ec2a4269a2eb0e010ab4f4c61d34161

Observation b2379e6d-073f-4886-864e-3c3b8246de73 · inbound

Variational Quantum Circuits in Offline Contextual Bandit Problems cites this paper.

Variational Quantum Circuits in Offline Contextual Bandit Problems Quantum embeddings for machine learning

Reference 11

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source=pdf_text observed=2026-08-04T22:01:57.966056Z digest=sha256:f75e2fc71c6356265b7c86339f84638cdf49474293025417f5b4bd09952ea01e

Observation 76b56b43-7469-4e74-88da-2fe5e1bf59d3 · inbound

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction cites this paper.

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction Quantum embeddings for machine learning

Reference 45

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no resolver link, observed 2026-08-04T17:14:40.325984Z

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source=pdf_text observed=2026-08-04T17:14:40.325984Z digest=sha256:947050e0ab1e4f8a9bbfcfa569f708ec8f71e3d11343e3bf06a489f8789f59b2

Observation aa59a1b4-c032-4e8e-b70e-07eb48c47f70 · inbound

HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning cites this paper.

HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning Quantum embeddings for machine learning

Reference 9

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source=pdf_text observed=2026-08-04T12:48:33.107217Z digest=sha256:096263e41c13a1a1dea0bc8285e351a7dabd849731a51645c8c05a960ef718f7

Observation a8a16817-49f4-4795-a08d-1fcbdf369624 · inbound

Quantum feature-map learning with reduced resource overhead cites this paper.

Quantum feature-map learning with reduced resource overhead Quantum embeddings for machine learning

Reference 27

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no resolver link, observed 2026-08-04T12:39:05.945891Z

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source=pdf_text observed=2026-08-04T12:39:05.945891Z digest=sha256:30d49a5c04487aeb3d3aa9523da4bae8d3a6b714a3ed87c4df2eb9f8471da775

Observation a84b8dfe-6fe1-42d1-8baa-4c299c250bfb · inbound

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness cites this paper.

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness Quantum embeddings for machine learning

Reference 54

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arxiv_id, observed 2026-05-21T18:44:18.908948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T18:42:35.602685Z digest=sha256:3c8e69f05a0ce2488d7fc007240b52f1d196da1da330a348b8cb6e279f262ed4

Observation c4713096-c061-4ff3-b13b-6629f6f4c54a · inbound

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness cites this paper.

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness Quantum embeddings for machine learning

Reference 54

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arxiv_id, observed 2026-05-25T07:40:28.783780Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T07:38:56.051810Z digest=sha256:08dba0c23f33f82fee52ae1b7d406917569df8507a8338f5d8e4ea41f1535df9

Observation abee5eaa-61a2-4d9e-b4ac-1c6108695e01 · inbound

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference cites this paper.

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference Quantum embeddings for machine learning

Reference 36

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arxiv_id, observed 2026-05-15T13:20:01.927748Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:19:59.354430Z digest=sha256:d402270cc02a96a93399ab60ebaaa549c36c66392d55121f1bf7fd48f24cfe0a

Observation be8bb719-d1e1-4746-ae5d-ee8f812db96c · inbound

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference cites this paper.

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference Quantum embeddings for machine learning

Reference 36

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source=pdf_text observed=2026-07-15T00:00:49.391141Z digest=sha256:90cb98b227eba8892c92b0a04691f9557b116bbe838704722ca5d02f1ddd4753

Observation d5101541-9e79-42eb-b73b-e626730c7f2e · inbound

Hybrid Quantum-Classical Algorithm for Hamiltonian Simulation cites this paper.

Hybrid Quantum-Classical Algorithm for Hamiltonian Simulation Quantum embeddings for machine learning

Reference 20

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arxiv_id, observed 2026-05-10T22:00:49.203366Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T20:20:04.389235Z digest=sha256:9c0aa771241f148d773dcac9be3f3976e3e3a51b73b8a07e2eb0115d21b43910

Observation bfae9a1a-d2f6-4b96-888d-39f9017f047b · inbound

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma cites this paper.

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma Quantum embeddings for machine learning

Reference 78

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arxiv_id, observed 2026-05-08T21:39:23.093303Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:22:16.357542Z digest=sha256:245c396ced67edcf878438071d7856c2086556f9cd49bcec0b9356ca2a6c88aa

Observation fba33126-063f-4655-87e4-ac7bc49a3c49 · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Quantum embeddings for machine learning

Reference 6

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arxiv_id, observed 2026-05-22T06:34:40.789228Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T06:33:41.569991Z digest=sha256:5747bae503cc4ea63f407c54e3de6650ae7371cc38f9d15f1bb8d87fdd386b03

Observation 087bfb6f-6b3e-4e4a-82a3-ab5cd088da82 · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Quantum embeddings for machine learning

Reference 6

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source=pdf_text observed=2026-08-02T13:30:01.661653Z digest=sha256:306782e5fb2ac5ab5375281d1106a08766769a56bf6fd5e5e14a7adaa1ff54eb

Observation 943e2b7b-cf58-402c-acba-919b102c0c26 · inbound

Quantum encodings that preserve persistent homology cites this paper.

Quantum encodings that preserve persistent homology Quantum embeddings for machine learning

Reference 77

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arxiv_id, observed 2026-06-29T11:53:24.434475Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T11:45:53.392594Z digest=sha256:4b0f06621966d345b494ea14777276f966fb2889949b7b910c96e3571659c718

Observation 508c6e66-9dc8-4551-a6ca-62d6ec694942 · inbound

Generative Quantum Data Embeddings for Supervised Learning cites this paper.

Generative Quantum Data Embeddings for Supervised Learning Quantum embeddings for machine learning

Reference 13

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arxiv_id, observed 2026-07-01T19:36:09.448541Z

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source=pdf_text observed=2026-06-28T22:10:38.902738Z digest=sha256:364cb676682f627fb98112f8055370fa20032448bd0e1185126e522ca714efec

Observation 9dccb1cd-1e5c-443c-8418-be4255cc66f9 · inbound

Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines cites this paper.

Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines Quantum embeddings for machine learning

Reference 37

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arxiv_id, observed 2026-07-02T09:16:49.448187Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T05:33:39.259676Z digest=sha256:eedcd0031ae83e6745338220aaf0fab2f4983e1525d20d6cbc42f060ca518f10

Observation 20b25dfe-5da6-498e-9a56-3a88a66e9e03 · inbound

Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines cites this paper.

Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines Quantum embeddings for machine learning

Reference 37

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source=pdf_text observed=2026-08-02T12:26:02.930554Z digest=sha256:2f0c7274d065c974125eff5495b6d96caeca47ac26c9266a4fbe38756cd9dd9e

Observation ddea1770-bc56-4ab4-bbc1-433cec2942b6 · inbound

On a Central Limit Theorem and Sanov's principle for quantum neural networks cites this paper.

On a Central Limit Theorem and Sanov's principle for quantum neural networks Quantum embeddings for machine learning

Reference 16

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arxiv_id, observed 2026-07-04T07:09:38.169604Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T13:41:07.026350Z digest=sha256:09f8c1cbf2496fc91c87e884b21c63f2358aafff846b71a2dc31c40e017f5f6b

Observation af1da2d6-057c-4282-92c5-939ba7676834 · inbound

Tailor Made Embeddings for Quantum Machine Learning cites this paper.

Tailor Made Embeddings for Quantum Machine Learning Quantum embeddings for machine learning

Reference 5

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arxiv_id, observed 2026-07-04T15:39:57.030439Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T01:29:32.201460Z digest=sha256:fc41018a92ef3aaced50554d2bda6b15103502b5d110dbdde1e696c2da01ffb8

Observation 04def910-febc-4aaf-8594-92ed49a49202 · inbound

Quantum Dynamic Time Warping for Multivariate Time Series Classification cites this paper.

Quantum Dynamic Time Warping for Multivariate Time Series Classification Quantum embeddings for machine learning

Reference 15

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arxiv_id, observed 2026-06-29T19:03:52.343020Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:55:53.739596Z digest=sha256:af2523c5f6d35c8fb9f1de89047689604a8c1e584efa780cd446d61648881f8a

Observation 7e00ae59-5ebb-4dfe-9d06-b1fcfb201364 · inbound

An Information-Theoretic Principle for Optimal Quantum Encoding: Tight Frames and Equiangular Ensembles cites this paper.

An Information-Theoretic Principle for Optimal Quantum Encoding: Tight Frames and Equiangular Ensembles Quantum embeddings for machine learning

Reference 39

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arxiv_id, observed 2026-07-03T00:27:29.149225Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T00:27:03.652589Z digest=sha256:05d2d0c5cbe4106c0159a844b5d6d563a6491ae6f221114e124a26ea4a3c5d25

Observation 9333ba55-baaa-4ff3-972e-2098d0a27bb2 · inbound

Quantum Topological Data Encoding cites this paper.

Quantum Topological Data Encoding Quantum embeddings for machine learning

Reference 17

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source=pdf_text observed=2026-08-02T03:38:01.101125Z digest=sha256:94772736ea92b143925c83ec4c047d343a2d90ebf59262c65b3d6c8d63cde907

Observation e0d56487-7ffb-4683-be25-94b1041fdd97 · inbound

A Multiclass Quantum Aligned Centroid Kernel cites this paper.

A Multiclass Quantum Aligned Centroid Kernel Quantum embeddings for machine learning

Reference 33

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source=pdf_text observed=2026-08-01T11:48:21.708319Z digest=sha256:de49826a16a94282726c08de0013b29c85b06f296de089ccddff6c2bd17eacc1

Observation d7427c49-0544-4c9f-aeff-581d39813cc2 · inbound

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support cites this paper.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum embeddings for machine learning

Reference 34

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source=pdf_text observed=2026-08-01T04:37:05.451285Z digest=sha256:a45a48da08bb3ac7cf78748ad33f03cda50088d7d9abe05f32addc65a67b13ba

Observation ab7a9229-87d7-4fd6-b3fe-e2ba6792dfb1 · inbound

High-rate qLDPC processors cites this paper.

High-rate qLDPC processors Quantum embeddings for machine learning

Reference 121

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source=arxiv_source observed=2026-08-03T00:27:29.505599Z digest=sha256:7082e2372a094c8e7045fe5c2ae9f7804ed6644aee9238970fa4d523632bef32