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Paper Citation Record · LEDGER

Quantum Expectation-Maximization for Gaussian Mixture Models

As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:1908.06657.

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

pith.paper-citation-record.v1
1908.06657 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:45:25.550925Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 265c2b4f-d214-426b-9007-45e03fda40c7 · outbound

This paper cites Quantum speed-up for unsupervised learning.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum speed-up for unsupervised learning

Reference 1

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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=arxiv_source observed=2026-08-14T12:45:25.178904Z digest=sha256:ba10f0c71bda1ac266bbadc901b080bf2714ed98b5f2d8e3c6a2e1fb5921bec8

Observation 95d285d6-74fc-4943-a925-301bfc2ddf36 · outbound

This paper cites Quantum-inspired algorithms in practice.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum-inspired algorithms in practice

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.185369Z digest=sha256:b410da63ba6bf14c46c8f81932c327ab6dd02f31d968c051314351d7ab983988

Observation f25c5f61-1fff-4c54-9add-2b69a29ceeac · outbound

This paper cites and Vassilvitskii, S.

Quantum Expectation-Maximization for Gaussian Mixture Models and Vassilvitskii, S

Reference 3

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

source=arxiv_source observed=2026-08-14T12:45:25.192191Z digest=sha256:c1c97490bf12ba65aa55dae871ffd432f94d82d542d06d9df8669fec53ea9189

Observation 4350cfac-5ac0-4aeb-98f2-8d5cc934bf41 · outbound

This paper cites A., Ramli, A.

Quantum Expectation-Maximization for Gaussian Mixture Models A., Ramli, A

Reference 4

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

source=arxiv_source observed=2026-08-14T12:45:25.198249Z digest=sha256:e9d90673a8f761eebc78694e0f3fcbacaca58a4f3d91867d070311af03fef59d

Observation f15094b8-2cea-4b08-9798-9031c4a7b9e3 · outbound

This paper cites Quantum machine learning.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum machine learning

Reference 5

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

source=arxiv_source observed=2026-08-14T12:45:25.203179Z digest=sha256:21a606cc5b8de81f05e3111fcb8ac10dd2584c2042a607246f041f2cb7df8327

Observation afc3df4a-b9d8-4a79-98b3-4e5adbd17de1 · outbound

This paper cites Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate gaussian mixture models.

Quantum Expectation-Maximization for Gaussian Mixture Models Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate gaussian mixture models

Reference 6

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

source=arxiv_source observed=2026-08-14T12:45:25.208408Z digest=sha256:5cdacff603d629b970af37a5d3b6cd949ad337b88da6abdb808389689a8bc2ba

Observation 6d0b35ec-df9a-4b9d-aeec-3f19a58ae6a6 · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 7

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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=arxiv_source observed=2026-08-14T12:45:25.213777Z digest=sha256:e144d08e5220932716ba7753f5df2898bcf38e7156fc9c3ff1f7d14ec9370863

Observation 74334172-8b3a-4758-92d9-6014a7547fca · outbound

This paper cites and Bujna, K.

Quantum Expectation-Maximization for Gaussian Mixture Models and Bujna, K

Reference 8

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

source=arxiv_source observed=2026-08-14T12:45:25.218786Z digest=sha256:37908f914488f926d19048a30daab21b687df8ac4d2bb6eb3673f7731c314907

Observation e5353557-65c7-4680-81a4-9e915aacd66a · outbound

This paper cites A randomized algorithm for approximating the log determinant of a symmetric positive definite matrix.

Quantum Expectation-Maximization for Gaussian Mixture Models A randomized algorithm for approximating the log determinant of a symmetric positive definite matrix

Reference 9

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

source=arxiv_source observed=2026-08-14T12:45:25.224756Z digest=sha256:ffc6151549482898119dd1c56a3f5c231d4f6a7911eb3631263027a7f0fa6e48

Observation 179d1328-7f9e-46af-a37b-4966e8c96931 · outbound

This paper cites Quantum Amplitude Amplification and Estimation.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum Amplitude Amplification and Estimation

Reference 10

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source=arxiv_source observed=2026-08-14T12:45:25.231026Z digest=sha256:06db31eb68831338b43471c966109d59bb6da1d2bbc37d16b7128d8b52767252

Observation 29d53536-ee50-4a40-b480-216dface79e5 · outbound

This paper cites and Govaert, G.

Quantum Expectation-Maximization for Gaussian Mixture Models and Govaert, G

Reference 11

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

source=arxiv_source observed=2026-08-14T12:45:25.239494Z digest=sha256:27493ec099d172c0f65eb8b85b8cda9128325a46cdc2b046d51117c84a6350b1

Observation 121a9643-4925-4b82-9741-d0ea7ec0874b · outbound

This paper cites Quantum wasserstein generative adversarial networks.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum wasserstein generative adversarial networks

Reference 12

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

source=arxiv_source observed=2026-08-14T12:45:25.246193Z digest=sha256:a999f655b73d49872b9ec37320b5406d52a7300086080539c4ea317aedcb472f

Observation a3fbe639-de2c-4f79-afdd-fb602c9bcc28 · outbound

This paper cites The power of block-encoded matrix powers: improved regression techniques via faster Hamiltonian simulation.

Quantum Expectation-Maximization for Gaussian Mixture Models The power of block-encoded matrix powers: improved regression techniques via faster Hamiltonian simulation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.252301Z digest=sha256:19c9a541265e00181e8b2ef0208eee30898d91d69c2a797141ab231994713464

Observation 627ba123-ae7f-429e-8cfa-ca4a3bb2141c · outbound

This paper cites Quantum-inspired sublinear classical algorithms for solving low-rank linear systems.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum-inspired sublinear classical algorithms for solving low-rank linear systems

Reference 14

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source=arxiv_source observed=2026-08-14T12:45:25.257978Z digest=sha256:70d73935d91be90d3c06103750f856d959a39eebaa34f9f9b9f827a43fb9709c

Observation c50fc314-d66a-4262-9622-fea55b6390a5 · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 15

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

source=arxiv_source observed=2026-08-14T12:45:25.263853Z digest=sha256:534920d98c91de981c05c93d382409445369f55533817f74bbc4e4ca7c87d4ce

Observation 4367894c-e5ec-4f0b-b1a6-27fe97940fb6 · outbound

This paper cites Learning mixtures of gaussians.

Quantum Expectation-Maximization for Gaussian Mixture Models Learning mixtures of gaussians

Reference 16

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

source=arxiv_source observed=2026-08-14T12:45:25.269054Z digest=sha256:ba43e6d39599056dd70bb9d999ec9ce022094f1bc0c70bba7adebbd6787f6eb6

Observation 3d6ff0e9-9c19-426a-9eca-82befe8606fa · outbound

This paper cites P., Laird, N.

Quantum Expectation-Maximization for Gaussian Mixture Models P., Laird, N

Reference 17

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

source=arxiv_source observed=2026-08-14T12:45:25.274943Z digest=sha256:197cd6369671e4683be30c49594ab36e1a60c35f0f1902e7fb0c0e1d726831ce

Observation 2fb67ccd-13b7-437e-9d4a-20520f4cdea1 · outbound

This paper cites and Tanner, D.

Quantum Expectation-Maximization for Gaussian Mixture Models and Tanner, D

Reference 18

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

source=arxiv_source observed=2026-08-14T12:45:25.280842Z digest=sha256:fdfeebe94a7a5e1bb805e3ab533868f9e620ca1e22484609adbd6c6c1b2d3bb0

Observation 9cba49be-b7a4-4496-87c9-70247265c66a · outbound

This paper cites S., et al.

Quantum Expectation-Maximization for Gaussian Mixture Models S., et al

Reference 19

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

source=arxiv_source observed=2026-08-14T12:45:25.286618Z digest=sha256:745a4b8bcbea79a54bb6ad68d649db5237ed8074e7b6d62ee5193c007efcdea0

Observation 9f70edcb-017b-4a67-bc69-5405010002af · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Quantum Expectation-Maximization for Gaussian Mixture Models Classification with Quantum Neural Networks on Near Term Processors

Reference 20

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source=arxiv_source observed=2026-08-14T12:45:25.291629Z digest=sha256:9a17a63c2e47e6a40e88676a964333cc3dfac624dd13cb305322bd2df1833b2b

Observation d16ea2a8-1b5b-4776-b8bb-3d99d5c34cb7 · outbound

This paper cites A., and Zhou, S.

Quantum Expectation-Maximization for Gaussian Mixture Models A., and Zhou, S

Reference 21

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

source=arxiv_source observed=2026-08-14T12:45:25.296594Z digest=sha256:85efc6d9c4370b21b141f29a4b6d1a12c53a6831d369e2b139ffbafe91b1db72

Observation a5b446c3-92e4-4043-97d9-5771b9783d35 · outbound

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

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension

Reference 23

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source=arxiv_source observed=2026-08-14T12:45:25.307212Z digest=sha256:eaf92a6b9e84448a8c7ca8b6ffa2de012b68d8063b482f7996eb641329abb9f7

Observation bbdce93c-d489-4319-8dc2-37d050992d69 · outbound

This paper cites Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.312180Z digest=sha256:82b4394d588e017ddc6d24e1fefb19da0bc3bb2bd8e75e831b75c13ff1975857

Observation d8d2c557-7b65-4fad-9780-743282d2837f · outbound

This paper cites Large-scale log-determinant computation through stochastic chebyshev expansions.

Quantum Expectation-Maximization for Gaussian Mixture Models Large-scale log-determinant computation through stochastic chebyshev expansions

Reference 25

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

source=arxiv_source observed=2026-08-14T12:45:25.316549Z digest=sha256:0dc34ade97dd0169459d3d1b5b20b26228f6c8123bf813110daf62caa27c7dd7

Observation de99d270-5811-4694-b311-a8c126fb2c2e · outbound

This paper cites W., Hassidim, A., and Lloyd, S.

Quantum Expectation-Maximization for Gaussian Mixture Models W., Hassidim, A., and Lloyd, S

Reference 26

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source=arxiv_source observed=2026-08-14T12:45:25.321061Z digest=sha256:54608fe5fe028dd6241cfc4bc3fba6d3d17f20b073ca5c33c25e2bd623caf395

Observation 57925bbc-8c05-4ae1-af9f-9534660958b5 · outbound

This paper cites The Elements of Statistical Learning , volume 1 of Springer Series in Statistics.

Quantum Expectation-Maximization for Gaussian Mixture Models The Elements of Statistical Learning , volume 1 of Springer Series in Statistics

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.325554Z digest=sha256:c4022ae21ac5eebac44e696e2ec4b9679d99dbd96664637e2cb037630409ff98

Observation 3ec8e000-c258-4d99-80df-2008ff830c16 · outbound

This paper cites Experimental realization of 105-qubit random access quantum memory.

Quantum Expectation-Maximization for Gaussian Mixture Models Experimental realization of 105-qubit random access quantum memory

Reference 28

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

source=arxiv_source observed=2026-08-14T12:45:25.330285Z digest=sha256:1212b574b2cb66e5bd1f1c739c7c6c4bf5744c01c093e86d27b0df5c03bbea6e

Observation 9ff2d15b-6062-4bb4-969c-c9b0a10d7f36 · outbound

This paper cites T., Moitra, A., and Valiant, G.

Quantum Expectation-Maximization for Gaussian Mixture Models T., Moitra, A., and Valiant, G

Reference 29

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

source=arxiv_source observed=2026-08-14T12:45:25.334528Z digest=sha256:9d0fb2c84d248d20ef7bd30a32eef6176878a347f4fae89c7356a4bc0424dd94

Observation 53257f65-1447-4864-a025-0acd0be203fc · outbound

This paper cites The spectral method for general mixture models.

Quantum Expectation-Maximization for Gaussian Mixture Models The spectral method for general mixture models

Reference 30

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

source=arxiv_source observed=2026-08-14T12:45:25.339540Z digest=sha256:1ea7202f8f3a4a7493ee7523a4572170714db25c0aae8e2280203662c619e3c5

Observation a8155272-7166-4ea8-8989-dd8e7f93b0be · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 31

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

source=arxiv_source observed=2026-08-14T12:45:25.344393Z digest=sha256:d64e766346987341f84ad1dd44cfcfeed076fc4302b22583db1c51b128e4006e

Observation 6a081f9e-5c30-45a7-8146-8facc38037ee · outbound

This paper cites Quantum classification of the MNIST dataset with Slow Feature Analysis.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum classification of the MNIST dataset with Slow Feature Analysis

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.351791Z digest=sha256:284f6012d201622fd917d50a5f2f021bef41c547d0053c5289908989cabf8209

Observation 7b9f5020-3922-47a7-95cd-9078562db612 · outbound

This paper cites and Prakash, A.

Quantum Expectation-Maximization for Gaussian Mixture Models and Prakash, A

Reference 33

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

source=arxiv_source observed=2026-08-14T12:45:25.357780Z digest=sha256:d9afe3f0a47ebdf3f23afd41c4e0456051aa22cdbe7df0871163c8810ad09cbd

Observation 01b3ab1d-4eee-494e-ab6c-52bc740bfc3e · outbound

This paper cites and Prakash, A.

Quantum Expectation-Maximization for Gaussian Mixture Models and Prakash, A

Reference 34

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

source=arxiv_source observed=2026-08-14T12:45:25.362157Z digest=sha256:41c2b2a54d200460956ff04b42ebbc9893bd561f4fb4623de2825ef1f5f4b821

Observation d3acc342-bb16-4015-ac0e-7848c4c2f731 · outbound

This paper cites A Quantum Interior Point Method for LPs and SDPs.

Quantum Expectation-Maximization for Gaussian Mixture Models A Quantum Interior Point Method for LPs and SDPs

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.366635Z digest=sha256:163d0eb4d4f74b5602dbf6a73840459f7d337234c930eaea0fb9b532fe59554b

Observation 7e0dadfc-3723-4910-a791-414f7eb648df · outbound

This paper cites and Prakash, A.

Quantum Expectation-Maximization for Gaussian Mixture Models and Prakash, A

Reference 36

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raw_fallback, observed 2026-08-14T12:45:26.262957Z

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=arxiv_source observed=2026-08-14T12:45:25.371868Z digest=sha256:dd7b16d0249504832c15c1cbbcda0c07ab269c75b81b156bbaa5fe84b86ea437

Observation 3aa9f2d4-5acb-4407-8702-bccb4137ea20 · outbound

This paper cites q-means: A quantum algorithm for unsupervised machine learning.

Quantum Expectation-Maximization for Gaussian Mixture Models q-means: A quantum algorithm for unsupervised machine learning

Reference 37

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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=arxiv_source observed=2026-08-14T12:45:25.376011Z digest=sha256:0fffd8c6737fb625e5184e7430262e38cf2bbbde3919c36420221df59eb7e300

Observation 60ba748c-46e3-4944-a017-0b82103b5f69 · outbound

This paper cites Quantum Algorithms for Deep Convolutional Neural Networks.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum Algorithms for Deep Convolutional Neural Networks

Reference 38

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.382083Z digest=sha256:1514f7c68e3339b394dd6871dc955e547e73b8f28efb095b04ef8fb0e8bbdcf3

Observation 2229858c-3754-4ef3-8212-fd6173bfef6d · outbound

This paper cites Speaker identification based on gaussian mixture models.

Quantum Expectation-Maximization for Gaussian Mixture Models Speaker identification based on gaussian mixture models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.232559Z

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=arxiv_source observed=2026-08-14T12:45:25.387969Z digest=sha256:5ce08317f913466ca7345f6aa03f680e7d32b1a27793578cf1572cd1e40d09bf

Observation 5a932da6-7800-486e-a584-1c91cf6f6af2 · outbound

This paper cites L., Biemond, J., and Boekee, D.

Quantum Expectation-Maximization for Gaussian Mixture Models L., Biemond, J., and Boekee, D

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.216583Z

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=arxiv_source observed=2026-08-14T12:45:25.392613Z digest=sha256:fbf7631484ce796849122b6c8f3ff15eacaeb5a8273060b6322cc13e91e5e194

Observation 2a9a45b3-b829-45a9-b04b-ff5cdfa60bbc · outbound

This paper cites Experimental realization of a quantum support vector machine.

Quantum Expectation-Maximization for Gaussian Mixture Models Experimental realization of a quantum support vector machine

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.201863Z

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=arxiv_source observed=2026-08-14T12:45:25.396710Z digest=sha256:cd270213700ccb582a28a58d5f77bba038f1a4d2147520dc871b98ce743fa9f8

Observation bcb62686-6181-432b-82e0-cd13c3d08b6e · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:45:26.183496Z

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=arxiv_source observed=2026-08-14T12:45:25.401857Z digest=sha256:faea1164340cf3394d951bd6931375ce8587e5fa2d410d34be7791ba6caa0b31

Observation abead567-f264-4f84-bc2c-72402e910b19 · outbound

This paper cites and Rubin, D.

Quantum Expectation-Maximization for Gaussian Mixture Models and Rubin, D

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.165465Z

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=arxiv_source observed=2026-08-14T12:45:25.408683Z digest=sha256:56a7528eebd97f6b117b10b61d04b789dd2fcd5260e8d150b28c2a433525521a

Observation 2c55d7ee-17bf-49aa-942d-f682575871bd · outbound

This paper cites Quantum algorithms for supervised and unsupervised machine learning.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum algorithms for supervised and unsupervised machine learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.421724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.421724Z digest=sha256:3be21124f73324497dfd16a04f66041c4412b3e7600416934e101056e3794992

Observation 2b3b679a-76e0-4162-be29-8c18cd4615b7 · outbound

This paper cites Quantum expectation-maximization algorithm.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum expectation-maximization algorithm

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.144420Z

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=arxiv_source observed=2026-08-14T12:45:25.426058Z digest=sha256:5abc01d4976e79ffaa9ea9513d439d59bebb2b78579cecb376d6eaece6ce8fbd

Observation 31dd25eb-1d48-4117-9f97-590f5c291e35 · outbound

This paper cites Algorithmic aspects of machine learning.

Quantum Expectation-Maximization for Gaussian Mixture Models Algorithmic aspects of machine learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.122979Z

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=arxiv_source observed=2026-08-14T12:45:25.436537Z digest=sha256:58b759a4fee7bb16e398ff1f5af8ac20482087fb17d78c81ffc01cb34798ba95

Observation 50fc895e-82b6-4fd9-bbb4-2b7000e97d02 · outbound

This paper cites and Valiant, G.

Quantum Expectation-Maximization for Gaussian Mixture Models and Valiant, G

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.107362Z

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=arxiv_source observed=2026-08-14T12:45:25.441889Z digest=sha256:a700b383973aef5b37baa1b88b777de9b8788ffa9eff5ed3529cd4ee91c0b54d

Observation 05d48811-3e68-4f3c-a2a9-081543c2e433 · outbound

This paper cites Quantum algorithms: an overview.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum algorithms: an overview

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.447420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.447420Z digest=sha256:52b3e28cd33837cbb59802c4b9673e4b575ea13459a2ac5723d98903d1907f74

Observation e36b81f5-4ad8-4408-b37c-a00671c2ba2f · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:45:26.080039Z

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=arxiv_source observed=2026-08-14T12:45:25.453208Z digest=sha256:0fb7beeb3251f6915602ebcef15cd8fc3061b8f28119eca51798f626f661aa28

Observation 6d5c0256-8f66-4b2b-8f3e-ba4b57c484ca · outbound

This paper cites Cs229 lecture notes - machine learning.

Quantum Expectation-Maximization for Gaussian Mixture Models Cs229 lecture notes - machine learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.064753Z

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=arxiv_source observed=2026-08-14T12:45:25.457485Z digest=sha256:c70911ec0cfa8e5eaa0438db2c367cb2cdc85d082fdb36a241781be121a0e0d0

Observation c323f028-3abc-4a0d-a7bd-150940809eef · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:45:26.046558Z

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=arxiv_source observed=2026-08-14T12:45:25.463041Z digest=sha256:918e07dbca74adddf2a18e6ed23cc46d122cd867eef8473bd8fd259cbe3170ad

Observation 10d596be-bf6f-45b2-8f78-abe9892b0df1 · outbound

This paper cites Unsupervised Machine Learning on a Hybrid Quantum Computer.

Quantum Expectation-Maximization for Gaussian Mixture Models Unsupervised Machine Learning on a Hybrid Quantum Computer

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.472812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.472812Z digest=sha256:c9a6e2f148205f6fd865d0797b29c2ab640ae679fe24d4f5978a89d49ecdb5e1

Observation a16bc057-5b0b-498b-89f7-47e8666e81bb · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:45:26.029649Z

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=arxiv_source observed=2026-08-14T12:45:25.477668Z digest=sha256:b6b1c903c9b1ca20ac10a5fb7685e34cf99c80689ca1d2cb5b5da3fcae8fe0c7

Observation b0ca3865-08be-441a-b7d6-90b83a774eee · outbound

This paper cites Scikit-learn: Machine learning in P ython.

Quantum Expectation-Maximization for Gaussian Mixture Models Scikit-learn: Machine learning in P ython

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.482348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.482348Z digest=sha256:0790e22eeea651b04efbdf7e05a091229c38d333618a110180018ea668f212b9

Observation 5ee88165-39a7-41ef-a2ee-67ab7fea637b · outbound

This paper cites Extracting robust and accurate features via a robust information bottleneck.

Quantum Expectation-Maximization for Gaussian Mixture Models Extracting robust and accurate features via a robust information bottleneck

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:45:25.699540Z

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=arxiv_source observed=2026-08-14T12:45:25.486675Z digest=sha256:129406bac28f75590bf316439040deb514275659f1c3d49748c6d6579407c3ed

Observation 95fbf1ef-63e1-4a5a-9bdb-520c2a17a86a · outbound

This paper cites A., Quatieri, T.

Quantum Expectation-Maximization for Gaussian Mixture Models A., Quatieri, T

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:26.003008Z

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=arxiv_source observed=2026-08-14T12:45:25.491222Z digest=sha256:f1927dfe3a7888c0486951b08dc612e6f5a69c1a6ffccb99f251a3cda19a715e

Observation f2074ee1-b702-4b70-ba22-a64a90436f4a · outbound

This paper cites an unresolved cited work.

Quantum Expectation-Maximization for Gaussian Mixture Models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:45:25.985598Z

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=arxiv_source observed=2026-08-14T12:45:25.496616Z digest=sha256:1e8eea1a6f065c9c076a5de109f4d9e9f226827b737d5988d4b1c8d1f0e257cb

Observation 69e8a214-f958-4260-a248-8fd73c4711a8 · outbound

This paper cites D., and Orsucci, D.

Quantum Expectation-Maximization for Gaussian Mixture Models D., and Orsucci, D

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:25.966060Z

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=arxiv_source observed=2026-08-14T12:45:25.500960Z digest=sha256:cfb6c82c8c76a1cf2dc2251250863e8f5215039c36d59602923a3eccf780e4c9

Observation 50f27e4b-1aae-47d4-bd76-014f4b952f00 · outbound

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

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.506341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.506341Z digest=sha256:a4bc9c227cac83b84c8126bca195c2f63beabd2c45dd9380ffb2402f2834acbc

Observation 43fbc00b-16cc-4851-a8d2-5c4e0638915e · outbound

This paper cites A quantum-inspired classical algorithm for recommendation systems.

Quantum Expectation-Maximization for Gaussian Mixture Models A quantum-inspired classical algorithm for recommendation systems

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.511034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.511034Z digest=sha256:b50de8a1f8aef4577505e43294136571f4d19d02050aaf9646c862f0327b49f6

Observation b77a04e7-b485-4c44-967e-b3c8dfd6ed6b · outbound

This paper cites Free speech.

Quantum Expectation-Maximization for Gaussian Mixture Models Free speech

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:25.950050Z

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=arxiv_source observed=2026-08-14T12:45:25.516612Z digest=sha256:5ff01a35e05ad8ed121a05972499432ff843ded27eeccb202dc9105b0461f97a

Observation 025506f3-1cdd-419b-b263-406279f30ffe · outbound

This paper cites Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised Learning.

Quantum Expectation-Maximization for Gaussian Mixture Models Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised Learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.529987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.529987Z digest=sha256:94c858b78bf633044963a93990482a0c92870b0f460b84aa8ca1e2487186fc08

Observation 390a20cc-149f-4004-9c40-c1f6bd027bf3 · outbound

This paper cites Hardening Quantum Machine Learning Against Adversaries.

Quantum Expectation-Maximization for Gaussian Mixture Models Hardening Quantum Machine Learning Against Adversaries

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:25.933194Z

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=arxiv_source observed=2026-08-14T12:45:25.534682Z digest=sha256:4dc5f904ad00e5b5fbc4676ff913ea4a0a63f504b263f97bb643f120b4846c74

Observation 6bec8f7c-da4e-44ef-a4ab-3baa83f135bc · outbound

This paper cites and Mare c ek, J.

Quantum Expectation-Maximization for Gaussian Mixture Models and Mare c ek, J

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:25.915873Z

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=arxiv_source observed=2026-08-14T12:45:25.539364Z digest=sha256:0756eac7e8d911bce641c9b54aa37619e864513c582affd0d6903ecff673955c

Observation d398e301-0ce0-4a3b-a53b-936d7c16b95a · outbound

This paper cites and Wang, J.

Quantum Expectation-Maximization for Gaussian Mixture Models and Wang, J

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:45:25.892960Z

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=arxiv_source observed=2026-08-14T12:45:25.545425Z digest=sha256:42141ec7168f9d024a64554a77e9b4ae3f3ac4c5c9c526fcc2df619ac3f2a3eb

Observation c43e39df-aec7-4d37-aeb8-a480c34c9896 · outbound

This paper cites write newline.

Quantum Expectation-Maximization for Gaussian Mixture Models write newline

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-14T12:45:25.550925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:45:25.550925Z digest=sha256:5b33cb33f9f6f6397bd077796700694910ce342513cd95ae77f1dd72d32b2c2a

Pith citing papers

No inbound Pith citation observations are available.