Paper Citation Record · LEDGER

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.08746.

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

pith.paper-citation-record.v1
2507.08746 v1

Coverage vector

measured 37 of 37 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 14c4d139-e75e-4e4c-ac57-4e51c26838be · outbound

This paper cites Beyond the buzz: Strategic paths for enabling useful NISQ applications,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Beyond the buzz: Strategic paths for enabling useful NISQ applications,

Reference 1

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Observation 12ad8eca-5f3b-4099-b35e-8b52dcb9f5e0 · outbound

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

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum algorithm for linear systems of equations,

Reference 2

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Observation 415c9472-f390-44d9-827b-f032b28726fc · outbound

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Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Unresolved cited work

Reference 3

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Observation 82942343-895c-4ecf-8f9e-e030821e19db · outbound

This paper cites What is quantum parallelism, anyhow?.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning What is quantum parallelism, anyhow?

Reference 4

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Observation 6290823b-7e80-46ff-ac19-3166f63878e8 · outbound

This paper cites Quantum computing in the NISQ era and beyond,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum computing in the NISQ era and beyond,

Reference 5

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Observation 7a1150f2-63dd-4224-bb70-28563330f023 · outbound

This paper cites Variational quantum algorithms,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Variational quantum algorithms,

Reference 6

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Observation be1db755-d860-4e16-82f9-dc5cd56ca014 · outbound

This paper cites Programming quantum neural networks on nisq systems: An overview of technologies and methodologies,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Programming quantum neural networks on nisq systems: An overview of technologies and methodologies,

Reference 7

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Observation eb599aa6-004c-4557-ba6a-9b1aaa562868 · outbound

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

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Potential of quantum scientific machine learning applied to weather modeling,

Reference 8

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Observation dc7ee479-bc50-4484-9ed8-442d470902f8 · outbound

This paper cites Quantum Fourier Networks for Solving Parametric PDEs.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum Fourier Networks for Solving Parametric PDEs

Reference 9

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Observation bf06c7d8-31f6-4d2d-bb77-df7b87975056 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 10

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Observation a1df51ee-7fa8-4ef3-a4c6-7a0ae02422dc · outbound

This paper cites Deep neural network modeling for CFD simulations: Benchmarking the Fourier neural operator on the lid- driven cavity case,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Deep neural network modeling for CFD simulations: Benchmarking the Fourier neural operator on the lid- driven cavity case,

Reference 11

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Observation 75a07540-479a-4b87-b939-f4ad4df598df · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 12

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Observation 534e3b48-3c3f-4989-8571-6c71eaf86fac · outbound

This paper cites Neural operator: Learning maps between function spaces with applications to PDEs,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Neural operator: Learning maps between function spaces with applications to PDEs,

Reference 13

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Observation 1ab13695-94c2-49f3-bcd3-167a0d5086c9 · outbound

This paper cites Quantum Vision Transformers,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum Vision Transformers,

Reference 14

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Observation 8139836e-0a6f-4f47-85b7-705eea74e676 · outbound

This paper cites Nearest centroid classification on a trapped ion quantum computer,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Nearest centroid classification on a trapped ion quantum computer,

Reference 15

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Observation fccd2a7b-937c-45fe-a7b1-8ca4e2c0d437 · outbound

This paper cites Quantum DeepONet: Neural operators accelerated by quantum computing.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum DeepONet: Neural operators accelerated by quantum computing

Reference 16

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Observation 1f2ae973-85c6-4ee5-8743-94d13785c101 · outbound

This paper cites R66-50 an algorithm for the machine calculation of complex fourier series,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning R66-50 an algorithm for the machine calculation of complex fourier series,

Reference 17

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Observation dc7c7856-7e69-443e-a7ed-2a8db52cf92c · outbound

This paper cites Orthogonal deep neural networks,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Orthogonal deep neural networks,

Reference 18

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Source-reported events for the cited work

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Observation f66cdcbf-539c-4d2f-974e-7dc5d904f67a · outbound

This paper cites Quantum Methods for Neural Networks and Appli- cation to Medical Image Classification,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum Methods for Neural Networks and Appli- cation to Medical Image Classification,

Reference 19

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Observation 47f4d9cd-3b46-4fd4-9ff5-86d9eafe2e9e · outbound

This paper cites Gropp, E.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Gropp, E

Reference 20

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Observation 76ad7e8b-0396-4d85-b69c-5557e3c7e52f · outbound

This paper cites mpi4py: Status update after 12 years of development,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning mpi4py: Status update after 12 years of development,

Reference 21

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Observation 2ab98c67-ba62-4ac6-83ea-25e242cd5035 · outbound

This paper cites Hybrid quantum programming with PennyLane Lightning on HPC platforms.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Hybrid quantum programming with PennyLane Lightning on HPC platforms

Reference 22

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Observation 8577d0ad-160c-4667-ab12-bbe6f36d63f9 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 23

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Observation 38f0553b-8516-423d-8a84-e7c0c91780af · outbound

This paper cites The quest for a quantum neural network,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning The quest for a quantum neural network,

Reference 24

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Observation fa8203d1-a0e2-43fd-8d83-e4754c3e7696 · outbound

This paper cites Continuous-variable quantum neural networks,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Continuous-variable quantum neural networks,

Reference 25

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Observation 3ec913ca-38e8-45ba-9c1d-477be8adee9f · outbound

This paper cites The power of quantum neural networks,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning The power of quantum neural networks,

Reference 26

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This paper cites Schuld and F.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Schuld and F

Reference 27

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Observation 3ae46ea8-aff3-46fc-b065-5e4f3dfe0968 · outbound

This paper cites Expressive power of parametrized quantum circuits,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Expressive power of parametrized quantum circuits,

Reference 28

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Observation 76e9686d-9fd8-4e45-8059-adc977c84ec3 · outbound

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

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Classification with Quantum Neural Networks on Near Term Processors

Reference 29

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Observation 9bef6a63-9104-4965-8888-30286dc18496 · outbound

This paper cites Solving nonlinear differential equations with differentiable quantum circuits,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Solving nonlinear differential equations with differentiable quantum circuits,

Reference 30

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Observation 755fccd8-e44b-419d-aa7b-d1d9e02dae85 · outbound

This paper cites Generalized quantum circuit differen- tiation rules,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Generalized quantum circuit differen- tiation rules,

Reference 31

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Observation 213801fa-ca4a-40d3-a04b-e18bd9aac187 · outbound

This paper cites Physics-Informed Quantum Machine Learning: Solving nonlinear differential equations in latent spaces without costly grid evaluations.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Physics-Informed Quantum Machine Learning: Solving nonlinear differential equations in latent spaces without costly grid evaluations

Reference 32

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Observation 12e3e6f4-ddcc-4cba-b2d0-d4b70ebe9dc2 · outbound

This paper cites On physics-informed neural networks for quantum com- puters,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning On physics-informed neural networks for quantum com- puters,

Reference 33

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Observation 9c80c17f-0896-4189-87c2-527f0efc7666 · outbound

This paper cites Expressibility and entan- gling capability of parameterized quantum circuits for hybrid quantum- classical algorithms,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Expressibility and entan- gling capability of parameterized quantum circuits for hybrid quantum- classical algorithms,

Reference 34

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Observation b3e0d7d6-f161-424d-80a9-06f45ebbd36c · outbound

This paper cites Quantum Algorithms for Deep Convolutional Neural Networks.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Quantum Algorithms for Deep Convolutional Neural Networks

Reference 35

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This paper cites What can we learn from quantum convolutional neural networks?.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning What can we learn from quantum convolutional neural networks?

Reference 36

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Observation 16dd84ab-3ca4-4acb-ab82-6d426c05846c · outbound

This paper cites Fast electromagnetic field pattern calculation with fourier neural operators,.

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning Fast electromagnetic field pattern calculation with fourier neural operators,

Reference 37

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Pith citing papers

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