Paper Citation Record · LEDGER

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.10934.

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

pith.paper-citation-record.v1
2412.10934 v2

Coverage vector

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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verified fuzzy11
unresolved24
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External citation measurements

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Outbound references

Observation 81364c9d-8180-47b8-8f7c-9d038a62991c · outbound

This paper cites , Zalivako , I.V.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Zalivako , I.V

Reference 1

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Observation 649bf3ef-28df-4c3f-81f0-8dbd24d96b28 · outbound

This paper cites , Albash , T.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Albash , T

Reference 2

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Observation 68246e75-fa52-4945-9cbe-de7b4cfd5cb7 · outbound

This paper cites , Chang , M.-S.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Chang , M.-S

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.928628Z

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Observation 7a0c5fb9-e3cf-4ba7-bd08-e4cd16e82d88 · outbound

This paper cites , Kelly , J.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Kelly , J

Reference 4

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Observation 13c55a26-f9d1-4d94-9ad7-3d5268ef1cc8 · outbound

This paper cites : A tutorial on support vector machines for pattern recognition.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : A tutorial on support vector machines for pattern recognition

Reference 5

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Observation 61caeba7-5fa9-4b76-af4d-7089c54157b3 · outbound

This paper cites , Magesan , E.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Magesan , E

Reference 6

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Observation 2b7faf44-1d82-4cf2-9bff-2f3c98efbf94 · outbound

This paper cites Benchmarking a trapped-ion quantum computer with 30 qubits.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms Benchmarking a trapped-ion quantum computer with 30 qubits

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:32:42.251684Z

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Observation bb6fa4fa-f652-44e9-b75d-af5d02cd300f · outbound

This paper cites , Zoller , P.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Zoller , P

Reference 8

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Observation 2f85ce46-6e1e-472b-aaa1-524089be905a · outbound

This paper cites , Cui , J.-M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Cui , J.-M

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.870901Z

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Observation da654f3e-611c-4933-a5fe-29f4c72b285b · outbound

This paper cites , Linke , N.M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Linke , N.M

Reference 11

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Observation ae10a5bf-17cd-4ffc-ad4d-af90aac66b2e · outbound

This paper cites : Quantum supremacy using a programmable superconducting processor.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : Quantum supremacy using a programmable superconducting processor

Reference 12

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Observation 3917ba64-3c17-4e5a-a16a-5abf75e71f7b · outbound

This paper cites , Tan , T.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Tan , T

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.844544Z

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Observation 9188f5b6-7476-4d50-b478-bdf19feb1478 · outbound

This paper cites Quantum Computation by Adiabatic Evolution.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms Quantum Computation by Adiabatic Evolution

Reference 14

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Observation 1e9588ca-0d41-4b9a-a148-c329f3eff8f0 · outbound

This paper cites , Mathur , A.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Mathur , A

Reference 15

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Observation 28edb234-8529-4e66-8d28-670f15c56120 · outbound

This paper cites , Tan , T.R.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Tan , T.R

Reference 16

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Observation 70742ef5-9fdb-41c0-8a40-71e912facc92 · outbound

This paper cites , Allcock , D.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Allcock , D

Reference 17

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Observation 69911f80-1a57-467f-bb9b-4e9c4b7fa602 · outbound

This paper cites , Broughton , M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Broughton , M

Reference 18

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Observation f6de0b81-ea76-4c04-9531-30536652613e · outbound

This paper cites , Chung , S.K.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Chung , S.K

Reference 19

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Observation eeb2ed8a-78e5-4fd5-a430-b5c4502008ba · outbound

This paper cites , Okhapkin , M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Okhapkin , M

Reference 20

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Observation 5231cdf5-f3b8-4e46-94a9-97570b068938 · outbound

This paper cites , Amin , M.H.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Amin , M.H

Reference 21

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Observation 212ccfea-3c00-4e3d-aad2-ad15d5abde6d · outbound

This paper cites : Quantum dynamics of cold trapped ions with application to quantum computation.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : Quantum dynamics of cold trapped ions with application to quantum computation

Reference 22

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.769627Z

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Observation 817e765a-0358-42f0-bae7-1b5e47262318 · outbound

This paper cites , Barends , R.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Barends , R

Reference 23

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Observation f5f7e99e-00b2-487c-9d23-3b6507ab318e · outbound

This paper cites , Kryuchkov , D.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Kryuchkov , D

Reference 24

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.742454Z

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Observation 34fcf00b-cc4c-4e19-833a-b7c7bb606f8e · outbound

This paper cites : High fidelity quantum information processing with trapped ions.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : High fidelity quantum information processing with trapped ions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:32:43.732704Z

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Observation e2fb555c-4274-4136-89e7-d3356e6a2d25 · outbound

This paper cites , Blatt , R.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Blatt , R

Reference 26

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Observation 45ebdd3f-45eb-4287-b120-09dc96561836 · outbound

This paper cites : Ising formulations of many np problems.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : Ising formulations of many np problems

Reference 27

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Observation a9af667f-7f97-4aa0-aa45-ba645eaa42e2 · outbound

This paper cites , Baldwin , C.H.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Baldwin , C.H

Reference 28

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Observation 340fbc73-b5e9-47d4-a1c0-6e712e67436b · outbound

This paper cites , Foody , G.M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Foody , G.M

Reference 29

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Observation 562fc3b6-90ab-48a5-ba45-90051a677ba7 · outbound

This paper cites , Kim , J.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Kim , J

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:32:42.364572Z

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Observation c041e4ca-9d5c-444d-929c-8fd6d4c2fe1f · outbound

This paper cites , Nigg , D.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Nigg , D

Reference 31

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Observation bf237bb7-15cc-49a5-a016-0659fccca65e · outbound

This paper cites , Sankey , J.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Sankey , J

Reference 32

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.705196Z

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Observation 13af8132-e855-4af3-8dbb-d0719b8769b4 · outbound

This paper cites , Szwer , D.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Szwer , D

Reference 33

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Observation 08976527-e0f3-424d-84b7-ece55141875a · outbound

This paper cites , Chuang , I.L.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Chuang , I.L

Reference 34

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Observation 7d468513-8530-4524-9d8c-d8a128b272b3 · outbound

This paper cites , Younge , K.C.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Younge , K.C

Reference 35

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Observation 1f6da992-b31b-4b3f-87bf-061cced94368 · outbound

This paper cites , Varoquaux , G.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Varoquaux , G

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:32:43.667673Z

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Observation 5fe93cff-15b4-4b89-b82f-da63dee26d8e · outbound

This paper cites , Collins , M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Collins , M

Reference 37

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.669202Z

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Observation fd2814a1-4510-44ce-b6d4-cdbe0be1e0eb · outbound

This paper cites , Borisenko , A.S.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Borisenko , A.S

Reference 38

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.652002Z

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Observation 6efbde73-f2d1-4d85-a410-727607659e2e · outbound

This paper cites , Hasebe , T.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Hasebe , T

Reference 39

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Observation 21e560f5-2998-4582-9714-45708a6d2768 · outbound

This paper cites , Landsman , K.A.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Landsman , K.A

Reference 40

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.625047Z

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Observation 64b93d4e-793b-4d93-9a60-2fe698333d25 · outbound

This paper cites , Petruccione , F.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Petruccione , F

Reference 41

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Observation c6a73c2e-bf27-4bd2-b7b3-a738bda11750 · outbound

This paper cites , Yang , M.-S.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Yang , M.-S

Reference 42

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Observation 13994d57-0d03-4ed7-b94b-3fec35bd08bb · outbound

This paper cites , Ulanov , A.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Ulanov , A

Reference 43

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.608088Z

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Observation e212c3c7-4309-4bf8-a0d8-9154bd1aa850 · outbound

This paper cites , Verma , V.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Verma , V

Reference 44

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Observation a32e2bee-c2cb-4cbe-8193-3f94ebcbd496 · outbound

This paper cites : The Nature of Statistical Learning Theory.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : The Nature of Statistical Learning Theory

Reference 45

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Observation 1c64c50f-3d9d-45cd-9814-442899dd1af8 · outbound

This paper cites , al , B.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , al , B

Reference 46

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Observation 1507e67b-2388-45e7-89a6-a5ba01a7320f · outbound

This paper cites , Willsch , M.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Willsch , M

Reference 47

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Observation 5156c903-5f3d-4dec-9338-749bbb68e805 · outbound

This paper cites , Song , L.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Song , L

Reference 48

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.575955Z

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Observation db18570d-251a-4b21-af16-c70590564e98 · outbound

This paper cites : Laser-cooled ions of magnesia and ytterbium for metrology and quantum computing.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms : Laser-cooled ions of magnesia and ytterbium for metrology and quantum computing

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:32:43.605881Z

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Observation 7f00e2c1-8f09-4bba-a1cd-0009872eeca8 · outbound

This paper cites , Borisenko , A.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Borisenko , A

Reference 50

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.558883Z

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Observation a7c6e4b0-eaa8-4d69-a130-c4e1e75ab3cb · outbound

This paper cites Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor

Reference 51

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Observation 35bf7804-6d30-40fc-82a2-39ff31b8384a · outbound

This paper cites Towards multiqudit quantum processor based on a $^{171}$Yb$^{+}$ ion string: Realizing basic quantum algorithms.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms Towards multiqudit quantum processor based on a $^{171}$Yb$^{+}$ ion string: Realizing basic quantum algorithms

Reference 52

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Observation 03b9f2ab-686d-40c1-92bc-40f3aa01b2af · outbound

This paper cites , Semerikov , I.A.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Semerikov , I.A

Reference 53

Resolution: verified exact; doi, observed 2026-08-11T15:32:42.541487Z

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Observation c9c6f678-2e0b-48f5-b643-7f518279133b · outbound

This paper cites , Wang , H.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms , Wang , H

Reference 54

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Observation ab521a25-3520-4a01-a648-cdbad79a36d1 · outbound

This paper cites write newline.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms write newline

Reference 55

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Observation 56f63e44-8542-4c21-849b-5aabd41fa910 · outbound

This paper cites write newline.

Detection states of ions in a Paul trap via conventional and quantum machine learning algorithms write newline

Reference 56

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