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Paper Citation Record · LEDGER

Classifying single-qubit noise using machine learning

As of 15 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 0 inbound Pith citation observations for arXiv:1908.11762.

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

pith.paper-citation-record.v1
1908.11762 v1

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measured 100 of 113 reference resolution

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measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

100 of 113 outbound references displayed

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  • verified fuzzy16
  • unresolved70
  • parse uncertain0
  • malformed identifier1
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Outbound references

Observation 8eb09f80-413f-4395-9c30-f56ce8d88555 · outbound

This paper cites Are the gate errors coherent or stochastic?.

Classifying single-qubit noise using machine learning Are the gate errors coherent or stochastic?

Reference 1

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Observation 9a8358cb-edff-4e07-9ad7-304081486594 · outbound

This paper cites coherent vs. stochastic.

Classifying single-qubit noise using machine learning coherent vs. stochastic

Reference 2

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Observation d5debbaa-af16-47f7-b6e6-57560d7cf8c1 · outbound

This paper cites The em- bedding is described by a feature map, φ, mapping each QCVV data setD to a feature vector f (i.e.,φ :D→ f∈ F).

Classifying single-qubit noise using machine learning The em- bedding is described by a feature map, φ, mapping each QCVV data setD to a feature vector f (i.e.,φ :D→ f∈ F)

Reference 3

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Observation a56c1cf4-112d-4e77-8d6f-3e20ce92ea4a · outbound

This paper cites For example, properties that are categorical would re- quire classification algorithms, whereas properties that are continuous would require regression algorithms.

Classifying single-qubit noise using machine learning For example, properties that are categorical would re- quire classification algorithms, whereas properties that are continuous would require regression algorithms

Reference 4

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Observation adc2cc5d-7362-4220-9617-e13336c0ddf4 · outbound

This paper cites It measures the quality of fθ’s predictions.

Classifying single-qubit noise using machine learning It measures the quality of fθ’s predictions

Reference 5

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Observation dc82953c-d32f-4ff0-a039-ca80fda11936 · outbound

This paper cites In simple cases the hyperparameters can be specified a priori.

Classifying single-qubit noise using machine learning In simple cases the hyperparameters can be specified a priori

Reference 6

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Observation 296ede83-e922-4bf3-bf99-097c816a365c · outbound

This paper cites Estimate the coherence of noise.

Classifying single-qubit noise using machine learning Estimate the coherence of noise

Reference 7

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Observation 874debbb-e1d9-4599-babe-3e1dc38c710d · outbound

This paper cites L =l GST feature vector.

Classifying single-qubit noise using machine learning L =l GST feature vector

Reference 8

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Observation eb5eb9e7-d1f6-4c82-863a-6d0655d4487b · outbound

This paper cites Given a collection of feature vectors C = {(fj,yj)}N j=1, with yj ∈ {±1} indicating which class the feature vector fj∈F belongs to, learn a classifier c :F→{± 1}.

Classifying single-qubit noise using machine learning Given a collection of feature vectors C = {(fj,yj)}N j=1, with yj ∈ {±1} indicating which class the feature vector fj∈F belongs to, learn a classifier c :F→{± 1}

Reference 9

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Observation 97f8e03d-78e6-4324-848b-5435b3e7ac1a · outbound

This paper cites 0/1 loss.

Classifying single-qubit noise using machine learning 0/1 loss

Reference 10

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Observation 38bc39e5-494f-4fbb-984b-8f5ec3b64442 · outbound

This paper cites For each algorithm, we performed hyperparameter tuning using brute-force grid search over the values listed in Table II; see Appendix C for details.

Classifying single-qubit noise using machine learning For each algorithm, we performed hyperparameter tuning using brute-force grid search over the values listed in Table II; see Appendix C for details

Reference 11

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Observation c7b792c3-62a7-4cfe-b4ec-a9c76ffa20c5 · outbound

This paper cites stochas- tic.

Classifying single-qubit noise using machine learning stochas- tic

Reference 12

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Observation af13dce3-cfba-4386-8387-b959ba4c7da4 · outbound

This paper cites linear GST.

Classifying single-qubit noise using machine learning linear GST

Reference 13

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Observation 0f558a71-3334-44fc-a87a-ad432d7e277f · outbound

This paper cites uninformative.

Classifying single-qubit noise using machine learning uninformative

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This paper cites Hero test.

Classifying single-qubit noise using machine learning Hero test

Reference 15

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Observation d846b45b-197a-4590-81cf-484c917e2729 · outbound

This paper cites Quantum Computing in the NISQ era and beyond.

Classifying single-qubit noise using machine learning Quantum Computing in the NISQ era and beyond

Reference 16

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Observation 2855b13f-3063-4d37-98b1-c86a1a3cc03b · outbound

This paper cites A Preview of Bristlecone, Google’s New Quan- tum Processor,.

Classifying single-qubit noise using machine learning A Preview of Bristlecone, Google’s New Quan- tum Processor,

Reference 17

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Observation 111fb4de-b373-4c20-b79e-d913c0af6f0d · outbound

This paper cites IBM Announces Advances to IBM Quantum Sys- tems & Ecosystem,.

Classifying single-qubit noise using machine learning IBM Announces Advances to IBM Quantum Sys- tems & Ecosystem,

Reference 18

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Observation cafa1954-1e7a-496e-951c-4dbc271b6b9e · outbound

This paper cites Benchmarking an 11-qubit quantum computer.

Classifying single-qubit noise using machine learning Benchmarking an 11-qubit quantum computer

Reference 19

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Observation 5f0d878a-93ca-48a0-b057-ec67c61595bc · outbound

This paper cites Unsupervised Machine Learning on Rigetti 19Q with Forest 1.2,.

Classifying single-qubit noise using machine learning Unsupervised Machine Learning on Rigetti 19Q with Forest 1.2,

Reference 20

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Observation 779dc01a-9688-4698-8832-7fc9870e8ff2 · outbound

This paper cites Robust, self-consistent, closed-form tomography of quantum logic gates on a trapped ion qubit.

Classifying single-qubit noise using machine learning Robust, self-consistent, closed-form tomography of quantum logic gates on a trapped ion qubit

Reference 21

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This paper cites Magesan, J.

Classifying single-qubit noise using machine learning Magesan, J

Reference 22

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This paper cites Robust randomized benchmarking of quantum processes.

Classifying single-qubit noise using machine learning Robust randomized benchmarking of quantum processes

Reference 23

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Observation b859b91b-ede3-4fd8-bd1c-933962275da1 · outbound

This paper cites Validating quantum computers using randomized model circuits.

Classifying single-qubit noise using machine learning Validating quantum computers using randomized model circuits

Reference 24

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Observation 26541d51-8404-464f-bc9b-c3d6a837e8c0 · outbound

This paper cites A volumetric framework for quantum computer benchmarks.

Classifying single-qubit noise using machine learning A volumetric framework for quantum computer benchmarks

Reference 25

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Classifying single-qubit noise using machine learning Unresolved cited work

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This paper cites Hastie, R.

Classifying single-qubit noise using machine learning Hastie, R

Reference 27

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This paper cites Goodfellow, Y.

Classifying single-qubit noise using machine learning Goodfellow, Y

Reference 28

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Classifying single-qubit noise using machine learning James, D

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Classifying single-qubit noise using machine learning Quantum Recommendation Systems

Reference 30

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Classifying single-qubit noise using machine learning Unresolved cited work

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This paper cites Wasserman, All of Statistics: A Concise Course in Statistical Inference (Springer New York, 2004).

Classifying single-qubit noise using machine learning Wasserman, All of Statistics: A Concise Course in Statistical Inference (Springer New York, 2004)

Reference 32

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Classifying single-qubit noise using machine learning Unresolved cited work

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Classifying single-qubit noise using machine learning Unresolved cited work

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Classifying single-qubit noise using machine learning Unresolved cited work

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Classifying single-qubit noise using machine learning Farley and W

Reference 36

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Classifying single-qubit noise using machine learning Unresolved cited work

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Classifying single-qubit noise using machine learning Estimating the Coherence of Noise

Reference 38

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Observation e4d1109d-a84a-4c77-8bf0-c0444dc6aecc · outbound

This paper cites Estimating the coherence of noise in quantum control of a solid-state qubit.

Classifying single-qubit noise using machine learning Estimating the coherence of noise in quantum control of a solid-state qubit

Reference 39

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Observation 76ddb7e0-e007-4b21-9d44-78c5137fbea9 · outbound

This paper cites An introduction to quantum machine learning.

Classifying single-qubit noise using machine learning An introduction to quantum machine learning

Reference 40

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Observation 4ce930c3-0c32-498b-a51d-bf5974d86ca4 · outbound

This paper cites Quantum Machine Learning.

Classifying single-qubit noise using machine learning Quantum Machine Learning

Reference 41

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source=pdf_text observed=2026-08-14T10:13:15.380576Z digest=sha256:22fee4fc85e3cf171e826666f8e772931d6d9bf1d8d2a3b4fdfa671d2a714c82

Observation 78321069-b3e6-4671-915c-b3dcf9e1342f · outbound

This paper cites Papers - Physics & Machine Learning,.

Classifying single-qubit noise using machine learning Papers - Physics & Machine Learning,

Reference 42

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source=pdf_text observed=2026-08-14T10:13:15.385208Z digest=sha256:92af2c59d385b9dc425157c27570d534c7678ab7408bc37d182ec97206ca0c7e

Observation fcc5c7b0-5263-4c97-91e9-e7ad89a73952 · outbound

This paper cites Dunjko and H.

Classifying single-qubit noise using machine learning Dunjko and H

Reference 43

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source=pdf_text observed=2026-08-14T10:13:15.389476Z digest=sha256:732d8a6a8fc01808cdbda87018c9f6c4338051cd54625857699d005f7d266645

Observation 5756eede-b2b8-4b6e-a063-1e33cf164fce · outbound

This paper cites Quantum algorithm for solving linear systems of equations.

Classifying single-qubit noise using machine learning Quantum algorithm for solving linear systems of equations

Reference 44

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source=pdf_text observed=2026-08-14T10:13:15.397000Z digest=sha256:56c9943ecaaed4dcc58561ed2b9601bf7e240a5e34452ce1f0aed17267d611f4

Observation 3a6b13e4-9588-4bbb-a09e-47020740ba04 · outbound

This paper cites Torlai, G.

Classifying single-qubit noise using machine learning Torlai, G

Reference 45

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source=pdf_text observed=2026-08-14T10:13:15.472799Z digest=sha256:0c9b2396a12ae5d3d5f98e3b94c98a3a3da6cc060bc7c4a5f7873bdec424b67b

Observation d26cbd65-0241-4fba-86fd-4499359c1d88 · outbound

This paper cites Tang, arXiv (2019), 10.1145/3313276.3316310, arXiv:arXiv:1807.04271v3.

Classifying single-qubit noise using machine learning Tang, arXiv (2019), 10.1145/3313276.3316310, arXiv:arXiv:1807.04271v3

Reference 46

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source=pdf_text observed=2026-08-14T10:13:15.405435Z digest=sha256:89a8932a1853fc660f52aea105acf9c734f90593690f87ea1d695fe6f31232f8

Observation 3dc09641-c48a-4d00-861b-958bbff5fdd9 · outbound

This paper cites Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions.

Classifying single-qubit noise using machine learning Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions

Reference 47

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source=pdf_text observed=2026-08-14T10:13:15.410091Z digest=sha256:997faa5838793ab562add7a11e8bcccdb6a176b31a4124c9906c8b57a1253daa

Observation 40f737bf-26dc-49a5-bc12-61e8b61ae47e · outbound

This paper cites Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension.

Classifying single-qubit noise using machine learning Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension

Reference 48

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source=pdf_text observed=2026-08-14T10:13:15.415562Z digest=sha256:705d935ea1e59527dc315a033f59267e7dfc13c2c53e16569d40d0de2a309154

Observation a52de8d3-15fb-42be-8d81-034d09185996 · outbound

This paper cites Automated discovery of characteristic features of phase transitions in many-body localization.

Classifying single-qubit noise using machine learning Automated discovery of characteristic features of phase transitions in many-body localization

Reference 49

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source=pdf_text observed=2026-08-14T10:13:15.420406Z digest=sha256:f2a78ae824aea199997b6e423628f3412a1290f511e58d07c65f07dba396677d

Observation 9e77452f-85f8-4f80-9c57-02d219d2834d · outbound

This paper cites Learning phase transitions by confusion.

Classifying single-qubit noise using machine learning Learning phase transitions by confusion

Reference 50

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source=pdf_text observed=2026-08-14T10:13:15.425325Z digest=sha256:89cacba450018f358e02d256fdc6793c71acc5fda62659ae81208f308f180744

Observation 4e52d6df-754f-4109-90d8-4c887ef23466 · outbound

This paper cites Machine learning phases of matter.

Classifying single-qubit noise using machine learning Machine learning phases of matter

Reference 51

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source=pdf_text observed=2026-08-14T10:13:15.430306Z digest=sha256:63629d1d11ae27b2e93a4e789e2ca7427993d32c098a869d2e59b155579d2cf3

Observation fdbb1c1a-8201-485e-86b4-d31c04eb4db8 · outbound

This paper cites Machine Learning Phases of Strongly Correlated Fermions.

Classifying single-qubit noise using machine learning Machine Learning Phases of Strongly Correlated Fermions

Reference 52

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.435142Z digest=sha256:8e8b71e985a03e5990e24134edac96798a67f0e8a74e80113990a8cf9fa51dd4

Observation 4a97350a-e202-424c-a3e1-9a471017f926 · outbound

This paper cites Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders.

Classifying single-qubit noise using machine learning Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders

Reference 53

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local_arxiv, observed 2026-08-14T10:13:15.995377Z

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source=pdf_text observed=2026-08-14T10:13:15.440301Z digest=sha256:ad37279132df49483534ebffd05fa731cfcac9c20cbdac318e9e20ef9138c00e

Observation ee27362b-bad4-4af0-9815-baed41cad074 · outbound

This paper cites Machine Learning Topological Invariants with Neural Networks.

Classifying single-qubit noise using machine learning Machine Learning Topological Invariants with Neural Networks

Reference 54

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source=pdf_text observed=2026-08-14T10:13:15.444753Z digest=sha256:2d7d46fc6156beaaed6b99da5b0056738c8df7f80d07e815b9a8eae1fb68d79b

Observation aad6484e-e900-4cf8-b4dd-648272a748d3 · outbound

This paper cites Robust Online Hamiltonian Learning.

Classifying single-qubit noise using machine learning Robust Online Hamiltonian Learning

Reference 55

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source=pdf_text observed=2026-08-14T10:13:15.449580Z digest=sha256:cb13ab9fda99a5dc04630734a2e2f6ff3e21abe091a664db048c68410d79d356

Observation 17f0aeb9-b2f3-4a24-a6d9-535f95580f08 · outbound

This paper cites Efficient online quantum state estimation using a matrix-exponentiated gradient method.

Classifying single-qubit noise using machine learning Efficient online quantum state estimation using a matrix-exponentiated gradient method

Reference 56

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source=pdf_text observed=2026-08-14T10:13:15.454242Z digest=sha256:1f9b376b1172a70c63137d7307832a144995c98ce8303ec9f560e6866dc843e3

Observation 14b70dac-32ab-4081-8555-2194969fc573 · outbound

This paper cites Machine learning for predictive estimation of qubit dynamics subject to dephasing.

Classifying single-qubit noise using machine learning Machine learning for predictive estimation of qubit dynamics subject to dephasing

Reference 57

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local_arxiv, observed 2026-08-14T10:13:15.939644Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.459280Z digest=sha256:1a46e5b63fdb8e53ff27b6b5560b0848a409aa3dbc275e74812ba47a282744d7

Observation 893687bc-76e0-4a0a-989f-33013a5b170a · outbound

This paper cites Machine learning for discriminating quantum measurement trajectories and improving readout.

Classifying single-qubit noise using machine learning Machine learning for discriminating quantum measurement trajectories and improving readout

Reference 58

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source=pdf_text observed=2026-08-14T10:13:15.463852Z digest=sha256:50498bac10ee573549b313eb7a316c2e78f2acc10962f6de6f9177ccb687657d

Observation a78d3fcc-0d8e-4b09-b465-cb20de6f4c50 · outbound

This paper cites Discovering physical concepts with neural networks.

Classifying single-qubit noise using machine learning Discovering physical concepts with neural networks

Reference 59

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source=pdf_text observed=2026-08-14T10:13:15.468369Z digest=sha256:ceed943257f645b36ebd297fe614493ade91b8d18badf4e714f56136e8c1fe50

Observation 7974c3a4-af8a-4ce9-8940-0c44c2dea202 · outbound

This paper cites Pedregosa, G.

Classifying single-qubit noise using machine learning Pedregosa, G

Reference 60

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source=pdf_text observed=2026-08-14T10:13:15.542196Z digest=sha256:5f93df83d9e175e7020ab453d6082ea78c53de0e4fdb84ad194ada1e2a1bb896

Observation 8f0442a2-a487-427c-8bc4-7228c2bfd40f · outbound

This paper cites The canonical QCVV task is to estimate a specific property, so supervised learning is more relevant.

Classifying single-qubit noise using machine learning The canonical QCVV task is to estimate a specific property, so supervised learning is more relevant

Reference 61

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source=pdf_text observed=2026-08-14T10:13:15.476386Z digest=sha256:920201c73ff1b887b80cd52b205046c986e2ecbf31f2764f40f6915351275ff4

Observation 79abe12d-1601-4021-9a9f-1559c00baae6 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-14T10:13:15.479970Z digest=sha256:36801ebce8ed71fd8894b607c7986c09762682f95c623305ee09fe271a4eaf88

Observation cc9b21e2-2020-4983-8684-05bd41f9d92e · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-14T10:13:15.484477Z digest=sha256:57dd94720075bc5b7ef716251f3d67191e7831047b69914d7e6f5096e7397297

Observation cac5c873-5dcc-42c3-bf49-fad42b99ab74 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-14T10:13:15.489516Z digest=sha256:331362ca393f6cbc42cbbb96e4b9beaf7dbeeb5d7769060e22c996d9fdaf0cda

Observation 10c31703-dd8d-4bdb-9ec7-d8844c4edd2c · outbound

This paper cites Bergstra, D.

Classifying single-qubit noise using machine learning Bergstra, D

Reference 65

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source=pdf_text observed=2026-08-14T10:13:15.495538Z digest=sha256:95fe4e8aa5509267c4ed5be9edc9252f4ad49b9c574b5b72f2ef0bbbe518cb9a

Observation a553f596-c8c5-46fe-834f-ad07cf70debb · outbound

This paper cites Comparing Experiments to the Fault-Tolerance Threshold.

Classifying single-qubit noise using machine learning Comparing Experiments to the Fault-Tolerance Threshold

Reference 66

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.499795Z digest=sha256:bde2ce888ec66a422d559a57a5a2e376ea57a815f78c30e092dbeceed5e0dfef

Observation 974c01b2-3a4c-41bd-be2d-21a952dad49d · outbound

This paper cites Quantum error correction failure distributions: comparison of coherent and stochastic error models.

Classifying single-qubit noise using machine learning Quantum error correction failure distributions: comparison of coherent and stochastic error models

Reference 67

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local_arxiv, observed 2026-08-14T10:13:15.872878Z

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source=pdf_text observed=2026-08-14T10:13:15.505239Z digest=sha256:b9d9feb2e13fb224f7afcc1d2489771827b4f95eacfc532632bdc72802d6d264

Observation 619739fa-fd68-4f14-8670-a20864749ab5 · outbound

This paper cites Tensor-Network Simulations of the Surface Code under Realistic Noise.

Classifying single-qubit noise using machine learning Tensor-Network Simulations of the Surface Code under Realistic Noise

Reference 68

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source=pdf_text observed=2026-08-14T10:13:15.509805Z digest=sha256:1957a8ed6e324b919351f80907ccba93f7f25b61d22744d1904d7817a787f2e9

Observation 765ae8f7-dfde-4b6b-8868-19110db708fa · outbound

This paper cites Noise tailoring for scalable quantum computation via randomized compiling.

Classifying single-qubit noise using machine learning Noise tailoring for scalable quantum computation via randomized compiling

Reference 69

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source=pdf_text observed=2026-08-14T10:13:15.516103Z digest=sha256:94f6181f8581f52fa9e4547fa213102a0f5b676468546e63e5fa7264e9f484a6

Observation 56ffd470-92ec-4b1d-8f15-d8bcac24b7b5 · outbound

This paper cites Errors and pseudo-thresholds for incoherent and coherent noise.

Classifying single-qubit noise using machine learning Errors and pseudo-thresholds for incoherent and coherent noise

Reference 70

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source=pdf_text observed=2026-08-14T10:13:15.521307Z digest=sha256:67c0d02c4384abe663776e82d3dbd1415d2f196c02d2f73f24b50b13fe0ef031

Observation ff15c46d-cc43-45e2-84b3-6f71ee9d0f49 · outbound

This paper cites Characterizing errors on qubit operations via iterative randomized benchmarking.

Classifying single-qubit noise using machine learning Characterizing errors on qubit operations via iterative randomized benchmarking

Reference 71

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local_arxiv, observed 2026-08-14T10:13:15.812301Z

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source=pdf_text observed=2026-08-14T10:13:15.527157Z digest=sha256:09d5213cf82072510a6e9ec131769752a73ccd497ed0948ae77c47abd8e166ea

Observation 0f9797b3-8c2d-42af-b30f-f8b3facc6fe7 · outbound

This paper cites Introduction to Quantum Gate Set Tomography.

Classifying single-qubit noise using machine learning Introduction to Quantum Gate Set Tomography

Reference 72

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source=pdf_text observed=2026-08-14T10:13:15.532268Z digest=sha256:8a880588e7e74ad004d2a523a575796c72b15515b55634c16632be6a60a60afc

Observation 972e4be1-0649-4be5-aebd-b0e072de88f8 · outbound

This paper cites Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography.

Classifying single-qubit noise using machine learning Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography

Reference 73

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.537060Z digest=sha256:dae2dce5890179eacd7b0febcc9c30abb4a8d94a60b831837ad9fb67e45ca956

Observation 6e1fe2cf-fb33-463c-9917-ab877928919b · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 74

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.600924Z digest=sha256:f02b85057f0b17360c5ecba1cbd6d781719077128f373ec6c99969701b1592c6

Observation add63a7a-9235-403e-898a-2dcedf4aa0c0 · outbound

This paper cites Rosenblatt, Psychological Review 65, 386 (1958).

Classifying single-qubit noise using machine learning Rosenblatt, Psychological Review 65, 386 (1958)

Reference 75

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raw_fallback, observed 2026-08-14T10:13:16.927723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.546896Z digest=sha256:1ef0edce032322c3e438706f5e6f708a050fd98574627aaab023492099f8d612

Observation 3c838135-60cf-4a7d-8a4c-dc7f834c92d6 · outbound

This paper cites Rosenblatt, The Perceptron - A Perceiving and Rec- ognizing Automaton , Tech.

Classifying single-qubit noise using machine learning Rosenblatt, The Perceptron - A Perceiving and Rec- ognizing Automaton , Tech

Reference 76

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raw_fallback, observed 2026-08-14T10:13:16.915385Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.551085Z digest=sha256:a6f3a279064cdd3399f8d2904b9c6a60c6f34de94e11fd6247269a91c8ee2be6

Observation be9432e7-99e8-488b-bc27-34c531b2fe66 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 77

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.555296Z digest=sha256:06271e7a305884ba7aab366aa6d2139317abf3e0d29bab25055faf6c33100385

Observation 5fcd0381-9467-4d5f-9fdb-31bdfb9d4c8d · outbound

This paper cites Hofmann, B.

Classifying single-qubit noise using machine learning Hofmann, B

Reference 78

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.559053Z digest=sha256:52733547c6466c53b688dafe6288c05bd51f7f10686a5f8c42e47c82a786b89f

Observation 62ef0c5e-d43e-45d8-a695-fc8a58f85029 · outbound

This paper cites Guyon, B.

Classifying single-qubit noise using machine learning Guyon, B

Reference 79

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raw_fallback, observed 2026-08-14T10:13:16.875076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d9c5d0bc-7ad5-4442-b2d0-dd418140c003 · outbound

This paper cites pyGSTio/pyGSTi,.

Classifying single-qubit noise using machine learning pyGSTio/pyGSTi,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.861506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f579bb0-54f8-4713-a428-a9ce78e5c9bd · outbound

This paper cites Polyglot: Distributed Word Representations for Multilingual NLP.

Classifying single-qubit noise using machine learning Polyglot: Distributed Word Representations for Multilingual NLP

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:13:15.765056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.571210Z digest=sha256:4e4b13ca17fc974c7462455ec18f85acd5134a08c3180497d3e00b7220498b6d

Observation 6c74a336-6e97-400c-8786-71ed820a0065 · outbound

This paper cites Jolliffe, Principal Component Analysis , 2nd ed.

Classifying single-qubit noise using machine learning Jolliffe, Principal Component Analysis , 2nd ed

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.847911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.575705Z digest=sha256:238539647d374cc69c7aee5e001f130d65a0f046b24bf8b17edc1533ea60bcd3

Observation c9977cac-710d-4d3f-8e30-f321f49dc5db · outbound

This paper cites Hotelling, Journal of Educational Psychology 24, 417 (1933).

Classifying single-qubit noise using machine learning Hotelling, Journal of Educational Psychology 24, 417 (1933)

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.833014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.579530Z digest=sha256:77e644d8d41ba58cc1a21f6bce510d808b21617b056736a11bcb57f823382151

Observation 14d09871-fd6c-41b0-946c-7d722d84736f · outbound

This paper cites Pearson, The London, Edinburgh, and Dublin Philo- sophical Magazine and Journal of Science 2, 559 (1901).

Classifying single-qubit noise using machine learning Pearson, The London, Edinburgh, and Dublin Philo- sophical Magazine and Journal of Science 2, 559 (1901)

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.818670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.583211Z digest=sha256:227fd4acd4f98d19de428e62d393759cf2c70b66b0bf3a213f9eb5052b1abe2c

Observation 2aaf1b6f-27d2-41bd-9de9-014fa789fc6e · outbound

This paper cites Borg and P.

Classifying single-qubit noise using machine learning Borg and P

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.802281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3809e3ad-2bc5-4860-a676-18bd9b699db8 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.787172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 90b7f70b-280b-49f8-95f2-04fd9b30c118 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.773604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e6502d0f-9bcd-4683-8c14-140ee0215b3d · outbound

This paper cites McKinney, in Proceedings of the 9th Python in Sci- ence Conference, edited by S.

Classifying single-qubit noise using machine learning McKinney, in Proceedings of the 9th Python in Sci- ence Conference, edited by S

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.559647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.663173Z digest=sha256:c5bcdc6df15b2c60fa9994e590351d2a51d9d9889a83eaf41f300b1a40715082

Observation e086f330-9c4b-469e-bcef-29e3193689c0 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.736611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.604893Z digest=sha256:3737c1ee722b05e9ee2712cf0c79fc2498dc0ac33f63deb9fd964be3b7c3a247

Observation 5115db76-e697-41c2-891b-f5069a1d925e · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.705620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.608937Z digest=sha256:81d4c73f7b06fe33d38db2d5fcc5503455bdc2c000767ff81f772561362f2796

Observation 7435b678-508e-456b-9e1c-7f178976cd1f · outbound

This paper cites Jamio lkowski, Reports on Mathematical Physics 3, 275 (1972).

Classifying single-qubit noise using machine learning Jamio lkowski, Reports on Mathematical Physics 3, 275 (1972)

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-14T10:13:15.612592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:13:15.612592Z digest=sha256:9a99310b47f7e718614b1379b260d7715f765114d00e1eef60a8501d694ad63e

Observation 86df1b92-a366-42d0-9e11-9dd745b793c6 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.675386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fee8f27d-a890-41b0-b562-61f125629287 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.662590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 825dfa29-f1fb-4f91-a732-77c53d84e47a · outbound

This paper cites F¨ osel, P.

Classifying single-qubit noise using machine learning F¨ osel, P

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.649925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 055fc5f5-787f-428b-b5ad-423569ce2fa8 · outbound

This paper cites Gatti, Design of Experiments for Reinforcement Learning, 1st ed.

Classifying single-qubit noise using machine learning Gatti, Design of Experiments for Reinforcement Learning, 1st ed

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.635431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f519737d-54d5-4a42-b67f-30664e1eee02 · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:13:16.620724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e63e0c7e-375b-445a-9bfe-768c33fff27a · outbound

This paper cites Diamond and S.

Classifying single-qubit noise using machine learning Diamond and S

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-14T10:13:15.640775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:13:15.640775Z digest=sha256:05e4f973883b1c47a412950f76e2fe3f80ee9f504d12db1db0ef1dc64b961c1b

Observation 2dfebc08-ea28-4d6d-aae6-a0224b48855b · outbound

This paper cites Agrawal, R.

Classifying single-qubit noise using machine learning Agrawal, R

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.594662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fd84e85b-57cd-4911-9522-c0bbd8ee9e47 · outbound

This paper cites P´ erez and B.

Classifying single-qubit noise using machine learning P´ erez and B

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:13:16.580789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:13:15.650691Z digest=sha256:ed01ebf96c65b926f435331085dd038387d94f4e414ddc356af3e2a2cbc8f391

Observation a11b8371-ed61-4b60-9201-a82522847c9e · outbound

This paper cites an unresolved cited work.

Classifying single-qubit noise using machine learning Unresolved cited work

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-14T10:13:15.654703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:13:15.654703Z digest=sha256:02246a369f476f120b2a53c05e7aa0e5dc073a5925f707cb7d2086520ebed1fa

Pith citing papers

No inbound Pith citation observations are available.