Supervised quantum machine learning models are kernel methods | Paper Citation Record

Observation 9602bc51-9837-4210-a6a4-817d13a5c851 · inbound

Quantum Computing for Energy Management: A Semi Non-Technical Guide for Practitioners cites this paper.

Quantum Computing for Energy Management: A Semi Non-Technical Guide for Practitioners Supervised quantum machine learning models are kernel methods

Reference 83

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Observation dec6917e-4c99-4158-87aa-6444260421d5 · inbound

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning cites this paper.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Supervised quantum machine learning models are kernel methods

Reference 64

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Observation 4462d550-db07-4c83-893d-de822b48c764 · inbound

Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors cites this paper.

Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors Supervised quantum machine learning models are kernel methods

Reference 18

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The role of data-induced randomness in quantum machine learning classification tasks cites this paper.

The role of data-induced randomness in quantum machine learning classification tasks Supervised quantum machine learning models are kernel methods

Reference 11

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Observation 9de0f28d-3aab-4e6f-93e2-6e033594f7e1 · inbound

Optimizing Quantum Embedding using Genetic Algorithm for QML Applications cites this paper.

Optimizing Quantum Embedding using Genetic Algorithm for QML Applications Supervised quantum machine learning models are kernel methods

Reference 2

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Observation faf2d36e-b176-47ee-bb68-a2fb8d59205b · inbound

Robust Quantum Reservoir Computing for Molecular Property Prediction cites this paper.

Robust Quantum Reservoir Computing for Molecular Property Prediction Supervised quantum machine learning models are kernel methods

Reference 16

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Observation 26952104-2dbc-4719-8f53-eb9068187c76 · inbound

Opportunities and limitations of explaining quantum machine learning cites this paper.

Opportunities and limitations of explaining quantum machine learning Supervised quantum machine learning models are kernel methods

Reference 92

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers cites this paper.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Supervised quantum machine learning models are kernel methods

Reference 148

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Observation 5ff4c36c-e9ad-4679-a53c-d0ba929040ce · inbound

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks cites this paper.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Supervised quantum machine learning models are kernel methods

Reference 12

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Observation 1a5c87df-263c-4fe6-adeb-2a6be1ac84eb · inbound

On the Generalization of Adversarially Trained Quantum Classifiers cites this paper.

On the Generalization of Adversarially Trained Quantum Classifiers Supervised quantum machine learning models are kernel methods

Reference 55

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Observation e428eb52-78e3-4f44-8603-a1f05cd4db2a · inbound

Enhancing the Dynamic Range of Quantum Sensing via Quantum Circuit Learning cites this paper.

Enhancing the Dynamic Range of Quantum Sensing via Quantum Circuit Learning Supervised quantum machine learning models are kernel methods

Reference 27

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Observation c3975f45-1c01-498d-aca6-da5e2416c371 · inbound

Quantum Surrogate-Driven Image Classifier: A Gradient-Free Approach to Avoid Barren Plateaus cites this paper.

Quantum Surrogate-Driven Image Classifier: A Gradient-Free Approach to Avoid Barren Plateaus Supervised quantum machine learning models are kernel methods

Reference 11

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Observation 9b22ed31-c8cb-4548-911e-dbaa14c96282 · inbound

Quantum Multi-view Kernel Learning with Local Information cites this paper.

Quantum Multi-view Kernel Learning with Local Information Supervised quantum machine learning models are kernel methods

Reference 24

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Observation f37c2493-21d7-42c1-8805-510ddb1e530b · inbound

Quantum Machine Learning for Predicting Anastomotic Leak: A Clinical Study cites this paper.

Quantum Machine Learning for Predicting Anastomotic Leak: A Clinical Study Supervised quantum machine learning models are kernel methods

Reference 14

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Observation d836a390-5081-4afc-b63a-c70c864b0f9d · 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 Supervised quantum machine learning models are kernel methods

Reference 76

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Observation 47df7d69-14d9-4bf2-967c-d57bf3a30eb0 · inbound

Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design cites this paper.

Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design Supervised quantum machine learning models are kernel methods

Reference 31

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Observation 5e939f62-807f-4f5e-98c7-69a1221a18c1 · inbound

Quantum Recurrent Embedding Neural Network cites this paper.

Quantum Recurrent Embedding Neural Network Supervised quantum machine learning models are kernel methods

Reference 58

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Observation e52093bd-a06c-47f2-8883-876b5c105475 · inbound

Quantum Spectral Clustering: Comparing Parameterized and Neuromorphic Quantum Kernels cites this paper.

Quantum Spectral Clustering: Comparing Parameterized and Neuromorphic Quantum Kernels Supervised quantum machine learning models are kernel methods

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T05:57:08.257573Z

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Observation 0d2e1f8a-c11c-44ce-a267-c7c7cb7b84aa · inbound

Enhanced image classification via hybridizing quantum dynamics with classical neural networks cites this paper.

Enhanced image classification via hybridizing quantum dynamics with classical neural networks Supervised quantum machine learning models are kernel methods

Reference 83

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Observation 97f1d1ba-1e69-4df1-b102-ec407245dce6 · inbound

Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning cites this paper.

Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning Supervised quantum machine learning models are kernel methods

Reference 5

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Observation 225d4f29-afe9-4412-8930-e43a5344fb37 · inbound

Pitfalls when tackling the exponential concentration of parameterized quantum models cites this paper.

Pitfalls when tackling the exponential concentration of parameterized quantum models Supervised quantum machine learning models are kernel methods

Reference 11

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Observation dcace0c5-e2de-4879-8d72-778be93df5dd · inbound

Concentration-Free Quantum Kernel Learning in the Rydberg Blockade cites this paper.

Concentration-Free Quantum Kernel Learning in the Rydberg Blockade Supervised quantum machine learning models are kernel methods

Reference 7

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Observation 3855df1b-4915-4a9b-a3a1-ebcd65ceca62 · inbound

Quantum Relational Knowledge Distillation cites this paper.

Quantum Relational Knowledge Distillation Supervised quantum machine learning models are kernel methods

Reference 19

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Observation e0155b98-e5c4-444d-bea8-3ac4a714d961 · inbound

Is data-efficient learning feasible with quantum models? cites this paper.

Is data-efficient learning feasible with quantum models? Supervised quantum machine learning models are kernel methods

Reference 7

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Observation ad6de43f-b7e1-4242-acd7-696e265c4633 · inbound

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder cites this paper.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Supervised quantum machine learning models are kernel methods

Reference 19

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Observation f1680a90-95d6-4e49-95bc-dbf3a610b48b · inbound

From Membership-Privacy Leakage to Quantum Machine Unlearning cites this paper.

From Membership-Privacy Leakage to Quantum Machine Unlearning Supervised quantum machine learning models are kernel methods

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T18:11:42.851398Z

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Observation 6bee7ab5-f36e-40b8-af94-5b0bfc86b947 · inbound

Quantum kernel and HHL-based support vector machines for multi-class classification cites this paper.

Quantum kernel and HHL-based support vector machines for multi-class classification Supervised quantum machine learning models are kernel methods

Reference 15

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Observation 7b359317-caa5-495e-b7c7-1c620028fbf1 · inbound

Toward selective quantum advantage in hadronic tomography:explicit cases from Compton form factors, GPDs, TMDs, and GTMDs cites this paper.

Toward selective quantum advantage in hadronic tomography:explicit cases from Compton form factors, GPDs, TMDs, and GTMDs Supervised quantum machine learning models are kernel methods

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:11:04.602759Z

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Observation 7909424b-e798-4b68-89dd-6b629495a0f4 · inbound

Answering Counting Queries with Differential Privacy on a Quantum Computer cites this paper.

Answering Counting Queries with Differential Privacy on a Quantum Computer Supervised quantum machine learning models are kernel methods

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:56:01.291248Z

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Observation 1fcfc208-ab53-4e62-910f-a5d9f46445d0 · inbound

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning cites this paper.

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning Supervised quantum machine learning models are kernel methods

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:38.230126Z

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Observation 3bd523bf-7b31-4f17-b0dc-cb65a22fb372 · inbound

Double Descent in Quantum Kernel Ridge Regression cites this paper.

Double Descent in Quantum Kernel Ridge Regression Supervised quantum machine learning models are kernel methods

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:46:37.406865Z

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Observation fce68469-9d10-4d0a-972b-4c2878f5733b · inbound

Towards Automated Selection of Quantum Encoding Circuits via Meta-Learning cites this paper.

Towards Automated Selection of Quantum Encoding Circuits via Meta-Learning Supervised quantum machine learning models are kernel methods

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:24:14.816208Z

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Observation c5f8fd70-95d6-4922-9ce5-b1f8b6caf588 · inbound

Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification cites this paper.

Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification Supervised quantum machine learning models are kernel methods

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:51:25.485410Z

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Observation eef03bdc-aba5-48b8-ae08-6f3637caad03 · inbound

Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification cites this paper.

Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification Supervised quantum machine learning models are kernel methods

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T15:18:49.420161Z

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Observation b18bcdcb-4819-4e7a-8067-8c200ea2996c · inbound

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models cites this paper.

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models Supervised quantum machine learning models are kernel methods

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:40:40.427332Z

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Observation a9928c3a-60f1-4818-a34f-e2a52688af92 · inbound

Scalable Quantum Reservoir Computing over Distributed Quantum Architectures cites this paper.

Scalable Quantum Reservoir Computing over Distributed Quantum Architectures Supervised quantum machine learning models are kernel methods

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:16:10.457935Z

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Observation 8e8a624a-9a63-4085-8d1b-fd3d2a012290 · inbound

Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline cites this paper.

Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline Supervised quantum machine learning models are kernel methods

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:31:09.998589Z

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Observation ff8a950f-97e2-442d-b0ae-83813e01e53c · inbound

A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting cites this paper.

A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting Supervised quantum machine learning models are kernel methods

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:56:15.134374Z

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Observation 48214d08-7869-4d01-a16e-d8b69e75cc6b · inbound

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs cites this paper.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Supervised quantum machine learning models are kernel methods

Reference 20

Resolution: malformed identifier; arxiv_id, observed 2026-05-14T21:58:03.728373Z

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Observation 3e094582-cfa2-450f-8536-ac51dd4bfa4e · inbound

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs cites this paper.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Supervised quantum machine learning models are kernel methods

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:27:41.428281Z

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Observation e135af0e-7bcf-46ad-8c72-9f1db9161bc6 · inbound

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs cites this paper.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Supervised quantum machine learning models are kernel methods

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:15:47.488653Z

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Observation 6057e702-7a08-411b-a341-d26ebefeb192 · inbound

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget cites this paper.

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget Supervised quantum machine learning models are kernel methods

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:25:04.303778Z

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Observation afaf7203-017f-45af-9e4d-bf23e88e765d · inbound

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget cites this paper.

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget Supervised quantum machine learning models are kernel methods

Reference 2018

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Observation 07efb795-c6dc-4f50-bf4c-3cb6d47177ca · inbound

Off-line quantum-advantage feature extraction for industrial production cites this paper.

Off-line quantum-advantage feature extraction for industrial production Supervised quantum machine learning models are kernel methods

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.677614Z

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Observation 657a2821-8205-4e58-b160-fc96fa078cce · inbound

Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor cites this paper.

Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor Supervised quantum machine learning models are kernel methods

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:39:35.008511Z

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Observation 74d4fa1c-6d52-4c0b-a112-c486dbe5658e · inbound

Quantum Parameterized Self-Attention Network for Image Classification cites this paper.

Quantum Parameterized Self-Attention Network for Image Classification Supervised quantum machine learning models are kernel methods

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:03:59.980861Z

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Observation 1ab86828-941d-47de-950a-c0cc1e7a516c · inbound

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection cites this paper.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Supervised quantum machine learning models are kernel methods

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:13:44.920111Z

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Observation f8f7ceee-9c0a-473f-9a40-368d879fe677 · inbound

Quantum encodings that preserve persistent homology cites this paper.

Quantum encodings that preserve persistent homology Supervised quantum machine learning models are kernel methods

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:24.389341Z

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Observation 4f130ab6-e150-4d39-97f5-40c6b16c0e43 · 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 Supervised quantum machine learning models are kernel methods

Reference 49

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Observation b194bc6f-ad5d-47c1-84f3-e4e3a37aae8a · inbound

Effective Dimension Governs Generalization in Quantum Kernel Vision Models cites this paper.

Effective Dimension Governs Generalization in Quantum Kernel Vision Models Supervised quantum machine learning models are kernel methods

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:29.614922Z

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Observation 556e0fd6-c8d4-4ce8-83cf-8f1938def860 · inbound

Quantum Kernels are Spectral Tensor Networks cites this paper.

Quantum Kernels are Spectral Tensor Networks Supervised quantum machine learning models are kernel methods

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:34.921527Z

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Observation 7d181f89-d251-43d5-9f35-e50f7d2f1436 · inbound

QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification cites this paper.

QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Supervised quantum machine learning models are kernel methods

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T07:39:39.113584Z

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Observation fb5ce4c7-ca40-4005-9907-ec21ee3d0c5c · inbound

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification cites this paper.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Supervised quantum machine learning models are kernel methods

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.027792Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58402860-5f5d-4cab-97a2-a0148c339dc1 · inbound

Invariance Audits for Quantum Kernels and Variational Rewinding: A Real-to-Hermitian Taxonomy of Projector, Flag, Anchor, and Density Geometry cites this paper.

Invariance Audits for Quantum Kernels and Variational Rewinding: A Real-to-Hermitian Taxonomy of Projector, Flag, Anchor, and Density Geometry Supervised quantum machine learning models are kernel methods

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-10T15:17:21.686198Z

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Observation aec94693-af5f-499c-a08d-ecc19d3eb1de · inbound

Learning Topological Quantum Phases from Limited Subsystems cites this paper.

Learning Topological Quantum Phases from Limited Subsystems Supervised quantum machine learning models are kernel methods

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T10:11:26.344146Z

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Observation 1d02f325-a01e-4953-a7b8-75d255093055 · inbound

Quantum Topological Data Encoding cites this paper.

Quantum Topological Data Encoding Supervised quantum machine learning models are kernel methods

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T03:38:02.516390Z

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Observation a4bb69ac-b331-4451-816c-7da26e100d63 · inbound

A Multiclass Quantum Aligned Centroid Kernel cites this paper.

A Multiclass Quantum Aligned Centroid Kernel Supervised quantum machine learning models are kernel methods

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T11:48:19.348484Z

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Observation 9e80a9a1-bca3-4f39-ba7d-c8a0a595a4a6 · inbound

Quantum Kernels and the Cross-Section of Stock Returns: Anatomy of a Vanishing Advantage cites this paper.

Quantum Kernels and the Cross-Section of Stock Returns: Anatomy of a Vanishing Advantage Supervised quantum machine learning models are kernel methods

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T10:40:12.750741Z

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Unavailable: canonical work link unavailable.

Observation 74f31a3b-530e-40f9-968a-a83a03ba5f93 · inbound

Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations cites this paper.

Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations Supervised quantum machine learning models are kernel methods

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:02:31.110942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers