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Paper Citation Record · LEDGER

Opportunities and challenges of quantum computing for climate modelling

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2502.10488.

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

pith.paper-citation-record.v1
2502.10488 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:25:22.810913Z

measured 21 of 21 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

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External citation measurements

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Outbound references

Observation 74e6a291-d8b6-4a13-b34e-30f511403ac1 · outbound

This paper cites Nature Physics 11(4), 291–293.

Opportunities and challenges of quantum computing for climate modelling Nature Physics 11(4), 291–293

Reference 1

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Observation dd387cfe-1ef7-4031-98a5-41960de75a29 · outbound

This paper cites Exponential concentration in quantum kernel methods.

Opportunities and challenges of quantum computing for climate modelling Exponential concentration in quantum kernel methods

Reference 15

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Observation 70f26fd0-2dfa-429f-aec5-5a6306e20df1 · outbound

This paper cites Earth System Science Data 16 (4), 2113–2122.

Opportunities and challenges of quantum computing for climate modelling Earth System Science Data 16 (4), 2113–2122

Reference 19

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Observation a51d26a3-dfcf-470c-8b19-886b56c70226 · outbound

This paper cites Potential of quantum scientific machine learning applied to weather modelling.

Opportunities and challenges of quantum computing for climate modelling Potential of quantum scientific machine learning applied to weather modelling

Reference 24

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Observation a94236df-eaa6-473b-a24c-9aaa5fd720e8 · outbound

This paper cites Potential quantum advantage for simulation of fluid dynamics.

Opportunities and challenges of quantum computing for climate modelling Potential quantum advantage for simulation of fluid dynamics

Reference 27

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Observation becb7078-f6ff-4be3-b2b9-1bbf5b95ea8b · outbound

This paper cites International Journal of Quantum Information 20 (02), 2150039.

Opportunities and challenges of quantum computing for climate modelling International Journal of Quantum Information 20 (02), 2150039

Reference 57

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Observation 6261af10-425c-4d8c-8a73-9e0a3e3fa8d7 · outbound

This paper cites A Practical Overview of Quantum Computing: Is Exascale Possible?.

Opportunities and challenges of quantum computing for climate modelling A Practical Overview of Quantum Computing: Is Exascale Possible?

Reference 60

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Observation 24926729-ae2e-40ed-ab3c-bac54fa612e3 · outbound

This paper cites In Camps- V alls G, Tuia D, Zhu XX and Reichstein M (eds.), Deep Learning for the Earth Sciences (2nd edn).

Opportunities and challenges of quantum computing for climate modelling In Camps- V alls G, Tuia D, Zhu XX and Reichstein M (eds.), Deep Learning for the Earth Sciences (2nd edn)

Reference 61

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 248522f6-b401-4a4e-af20-228d3002a306 · outbound

This paper cites an unresolved cited work.

Opportunities and challenges of quantum computing for climate modelling Unresolved cited work

Reference 79

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Observation 5cdab0d1-229f-442c-9673-3fa1bc8700c3 · outbound

This paper cites Opportunities and challenges of quantum computing for climate modeling.

Opportunities and challenges of quantum computing for climate modelling Opportunities and challenges of quantum computing for climate modeling

Reference 103

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Observation 8f78df2d-27bf-48a5-bb03-808d085b8cba · outbound

This paper cites Rüfenacht M, Taketani B, Lähteenmäki P, Bergholm V, Kranzlmüller D, Schulz L and Schulz M (2022) Bringing Quantum Acceleration to Supercomputers.

Opportunities and challenges of quantum computing for climate modelling Rüfenacht M, Taketani B, Lähteenmäki P, Bergholm V, Kranzlmüller D, Schulz L and Schulz M (2022) Bringing Quantum Acceleration to Supercomputers

Reference 116

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Observation 6943b896-c707-4af1-951b-74090ef778be · outbound

This paper cites Nature Communications 5,.

Opportunities and challenges of quantum computing for climate modelling Nature Communications 5,

Reference 226

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Observation 5a885e18-30bb-4ad4-9a0f-20d63cafab21 · outbound

This paper cites Nature Physics 15, 1273–1278.

Opportunities and challenges of quantum computing for climate modelling Nature Physics 15, 1273–1278

Reference 788

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Observation fb502227-4d35-4b5a-8805-72cc0dbacf2c · outbound

This paper cites Springer, Cham., pp 188 –197.

Opportunities and challenges of quantum computing for climate modelling Springer, Cham., pp 188 –197

Reference 2021

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Observation 2a35ff83-fad1-4159-828e-f3469ac07969 · outbound

This paper cites https://www.quantinuum.com/ (accessed April 2023).

Opportunities and challenges of quantum computing for climate modelling https://www.quantinuum.com/ (accessed April 2023)

Reference 3243

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Observation 5593e800-e041-4490-83a8-2f86b8a47b39 · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

Opportunities and challenges of quantum computing for climate modelling Does provable absence of barren plateaus imply classical simulability?

Reference 3751

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Observation 340608c0-0c06-42b3-8feb-6984eff0e74e · outbound

This paper cites Physical Review X 11 , 041011.

Opportunities and challenges of quantum computing for climate modelling Physical Review X 11 , 041011

Reference 4213

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Observation 2b1fa4dd-23dc-4f17-a3a3-29ba2d2b47c5 · outbound

This paper cites Nature Communications 14(1),.

Opportunities and challenges of quantum computing for climate modelling Nature Communications 14(1),

Reference 4919

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Observation c43f6bdf-e43b-40e1-be72-2eed1f868555 · outbound

This paper cites Science 376(6594), 720–724.

Opportunities and challenges of quantum computing for climate modelling Science 376(6594), 720–724

Reference 5676

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Observation 96ee5c15-a33b-4203-a24e-5526957d385a · outbound

This paper cites QESM: A Leap Towards Quantum-Enhanced ML Emulation Framework for Earth and Climate Modeling.

Opportunities and challenges of quantum computing for climate modelling QESM: A Leap Towards Quantum-Enhanced ML Emulation Framework for Earth and Climate Modeling

Reference 6115

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Observation e29f6c15-e672-4ce8-9ddf-8e77ca380b1f · outbound

This paper cites Towards Solving the Navier-Stokes Equation on Quantum Computers.

Opportunities and challenges of quantum computing for climate modelling Towards Solving the Navier-Stokes Equation on Quantum Computers

Reference 7172

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Pith citing papers

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