Paper Citation Record · LEDGER

LCQNN: Linear Combination of Quantum Neural Networks

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2507.02832.

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

pith.paper-citation-record.v1
2507.02832 v2

Coverage vector

measured 54 of 54 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 08638e58-516b-4cb1-a996-161469b38ef4 · outbound

This paper cites We prove that its cost function’s gradient variance scales fa- vorably, inversely with the number of combined QNNs (L).

LCQNN: Linear Combination of Quantum Neural Networks We prove that its cost function’s gradient variance scales fa- vorably, inversely with the number of combined QNNs (L)

Reference 1

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Observation 0631c218-119f-4859-b9f2-a5fc5bebbba7 · outbound

This paper cites This proposition implies that LCQNN’s structure can be tailored to specific problems to guarantee trainability while retaining non-trivial quantum features.

LCQNN: Linear Combination of Quantum Neural Networks This proposition implies that LCQNN’s structure can be tailored to specific problems to guarantee trainability while retaining non-trivial quantum features

Reference 2

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Observation 2d6c2ba8-9e36-409b-9f64-679c63b46da5 · outbound

This paper cites an unresolved cited work.

LCQNN: Linear Combination of Quantum Neural Networks Unresolved cited work

Reference 3

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Observation ab6e918e-6e4e-4c1b-8ad9-8f620978fb7e · outbound

This paper cites An introduction to quantum machine learning.

LCQNN: Linear Combination of Quantum Neural Networks An introduction to quantum machine learning

Reference 4

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Observation 82893cae-0e7d-4ca8-9dcd-b46ec9109b15 · outbound

This paper cites Quantum machine learn- ing.

LCQNN: Linear Combination of Quantum Neural Networks Quantum machine learn- ing

Reference 5

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Observation 9d34f604-5bbd-4fc2-bb42-e01620d2a203 · outbound

This paper cites Toward Trainability of Quantum Neural Networks.

LCQNN: Linear Combination of Quantum Neural Networks Toward Trainability of Quantum Neural Networks

Reference 6

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Observation c31ec24e-9385-4070-9618-47ec796946cb · outbound

This paper cites Recent advances for quan- tum classifiers.

LCQNN: Linear Combination of Quantum Neural Networks Recent advances for quan- tum classifiers

Reference 7

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Observation cdff5f1e-213c-4e6e-86a9-e3ad153aef4f · outbound

This paper cites The dilemma of quantum neural networks.

LCQNN: Linear Combination of Quantum Neural Networks The dilemma of quantum neural networks

Reference 8

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Observation 7e43f78b-48af-406e-88b2-2d9dcd3784f1 · outbound

This paper cites Generalization in quantum machine learning from few training data.

LCQNN: Linear Combination of Quantum Neural Networks Generalization in quantum machine learning from few training data

Reference 9

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Observation aa56dc33-ef65-4c8b-b5f2-3693ae4f73f7 · outbound

This paper cites Challenges and opportunities in quantum machine learning.

LCQNN: Linear Combination of Quantum Neural Networks Challenges and opportunities in quantum machine learning

Reference 10

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Observation 23254ad5-d105-4d97-8d66-8c23c7aaa3b0 · outbound

This paper cites Recent advances for quantum neural networks in generative learning.

LCQNN: Linear Combination of Quantum Neural Networks Recent advances for quantum neural networks in generative learning

Reference 11

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Observation 30a139c8-02c6-4374-83f7-554b689c0483 · outbound

This paper cites Quantum machine learning beyond kernel methods.

LCQNN: Linear Combination of Quantum Neural Networks Quantum machine learning beyond kernel methods

Reference 12

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Observation bf5f9a13-e5dc-4f56-82c5-4212c2d848ae · outbound

This paper cites Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers.

LCQNN: Linear Combination of Quantum Neural Networks Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 13

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Observation 297731df-bb46-4ebf-a41e-ea3375d6e283 · outbound

This paper cites Parameterized quantum circuits as machine learn- ing models.

LCQNN: Linear Combination of Quantum Neural Networks Parameterized quantum circuits as machine learn- ing models

Reference 14

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Observation 01b0cec7-72bf-4c99-bcd2-f0f73676cbd7 · outbound

This paper cites Structure optimization for parameterized quantum circuits.

LCQNN: Linear Combination of Quantum Neural Networks Structure optimization for parameterized quantum circuits

Reference 15

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Observation f3553f90-5efc-4281-9e15-98cfcfbbdd9b · outbound

This paper cites Quantum algorithms for quantum chemistry and quan- tum materials science.

LCQNN: Linear Combination of Quantum Neural Networks Quantum algorithms for quantum chemistry and quan- tum materials science

Reference 16

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Observation 258ec688-b73a-44e3-9ca1-c82b2a0ad109 · outbound

This paper cites Quantum chemistry calculations on a trapped-ion quantum simulator.

LCQNN: Linear Combination of Quantum Neural Networks Quantum chemistry calculations on a trapped-ion quantum simulator

Reference 17

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Observation 366a474f-cc6d-4fe1-bb36-17aa10390eec · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

LCQNN: Linear Combination of Quantum Neural Networks A Quantum Approximate Optimization Algorithm

Reference 18

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Observation 8cc5ff3d-5ec4-4670-b01a-96ebfb2ece4f · outbound

This paper cites Quantum approximate optimization algo- rithm: Performance, mechanism, and implementation on near- term devices.

LCQNN: Linear Combination of Quantum Neural Networks Quantum approximate optimization algo- rithm: Performance, mechanism, and implementation on near- term devices

Reference 19

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Observation c6a29fa8-ec28-449a-9c09-705aa8ebc78a · outbound

This paper cites Variational quan- tum circuits for deep reinforcement learning.

LCQNN: Linear Combination of Quantum Neural Networks Variational quan- tum circuits for deep reinforcement learning

Reference 20

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Observation 8a4dc6a6-3af8-4311-a6ae-62127c496b07 · outbound

This paper cites Learning temporal data with a varia- tional quantum recurrent neural network.

LCQNN: Linear Combination of Quantum Neural Networks Learning temporal data with a varia- tional quantum recurrent neural network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.519534Z

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Observation ae065ec4-d96e-48c0-a52c-0a1d86f78e88 · outbound

This paper cites Statistical analysis of quantum state learning process in quan- tum neural networks.

LCQNN: Linear Combination of Quantum Neural Networks Statistical analysis of quantum state learning process in quan- tum neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.511862Z

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Observation 4bd9f5cd-c2ea-43fe-a724-b54aac1eda9a · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.

LCQNN: Linear Combination of Quantum Neural Networks Barren plateaus in quantum neural network training landscapes

Reference 23

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Observation 8c075ca1-8d17-4f0a-8db7-341403ddead4 · outbound

This paper cites Cost function dependent barren plateaus in shallow parametrized quantum circuits.

LCQNN: Linear Combination of Quantum Neural Networks Cost function dependent barren plateaus in shallow parametrized quantum circuits

Reference 24

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Observation fbb2d402-90e4-4f66-a1a1-add15b03040d · outbound

This paper cites Exponentially many local minima in quantum neural networks.

LCQNN: Linear Combination of Quantum Neural Networks Exponentially many local minima in quantum neural networks

Reference 25

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Observation ee952e4b-88d4-4e4a-ae95-d52ed429f60d · outbound

This paper cites Mitigating barren plateaus of variational quantum eigen- solvers.

LCQNN: Linear Combination of Quantum Neural Networks Mitigating barren plateaus of variational quantum eigen- solvers

Reference 26

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Observation 16cfd0a5-7d0a-4454-b6f1-5a3a7ffbc1c4 · outbound

This paper cites Hamiltonian variational ansatz without barren plateaus.

LCQNN: Linear Combination of Quantum Neural Networks Hamiltonian variational ansatz without barren plateaus

Reference 27

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Observation cbea6193-e4a3-42f2-a86f-dd3abcb7b8dd · outbound

This paper cites Explor- ing entanglement and optimization within the hamiltonian vari- ational ansatz.

LCQNN: Linear Combination of Quantum Neural Networks Explor- ing entanglement and optimization within the hamiltonian vari- ational ansatz

Reference 28

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Observation df214dc5-5f9a-4aa3-8697-e3d1e17e29e7 · outbound

This paper cites Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits.

LCQNN: Linear Combination of Quantum Neural Networks Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits

Reference 29

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Observation 27cab21b-7dfc-40cf-9ce9-89cb817958cd · outbound

This paper cites Trainability enhancement of parameterized quantum circuits via reduced- domain parameter initialization.

LCQNN: Linear Combination of Quantum Neural Networks Trainability enhancement of parameterized quantum circuits via reduced- domain parameter initialization

Reference 30

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Observation 8d8b2636-a773-4e78-8768-a2d021d29ea7 · outbound

This paper cites Avoiding barren plateaus via Gaussian Mixture Model.

LCQNN: Linear Combination of Quantum Neural Networks Avoiding barren plateaus via Gaussian Mixture Model

Reference 31

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Observation d4e5de5a-880f-4698-b822-0632ae66a2ae · outbound

This paper cites Characterizing barren plateaus in quantum ansätze with the adjoint representation.

LCQNN: Linear Combination of Quantum Neural Networks Characterizing barren plateaus in quantum ansätze with the adjoint representation

Reference 32

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Observation e1d44d2a-4f79-4685-b2f5-ae8f28f6ebf6 · outbound

This paper cites Bakalov, Frédéric Sauvage, Alexan- der F.

LCQNN: Linear Combination of Quantum Neural Networks Bakalov, Frédéric Sauvage, Alexan- der F

Reference 33

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Observation 3525ac6a-aedc-469f-9e46-03e0b678f6d7 · outbound

This paper cites Theory for equivariant quantum neural net- works.

LCQNN: Linear Combination of Quantum Neural Networks Theory for equivariant quantum neural net- works

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.416005Z

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Observation f5cb10ba-16aa-4363-9ce0-02748169b5ab · outbound

This paper cites Theoretical guarantees for permutation-equivariant quantum neural networks.

LCQNN: Linear Combination of Quantum Neural Networks Theoretical guarantees for permutation-equivariant quantum neural networks

Reference 35

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Observation 01f644bb-e1a9-4d7e-b1e0-f6c0c17e27f6 · outbound

This paper cites On the dynamical Lie algebras of quantum approximate optimization algorithms.

LCQNN: Linear Combination of Quantum Neural Networks On the dynamical Lie algebras of quantum approximate optimization algorithms

Reference 36

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This paper cites Analyzing the quantum approx- imate optimization algorithm: ans \" atze, symmetries, and lie algebras.

LCQNN: Linear Combination of Quantum Neural Networks Analyzing the quantum approx- imate optimization algorithm: ans \" atze, symmetries, and lie algebras

Reference 37

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This paper cites Towards determin- ing the presence of barren plateaus in some chemically inspired variational quantum algorithms.

LCQNN: Linear Combination of Quantum Neural Networks Towards determin- ing the presence of barren plateaus in some chemically inspired variational quantum algorithms

Reference 38

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Observation 56ae538a-9967-4410-8de6-8528b672dd2f · outbound

This paper cites Quantum Recurrent Embedding Neural Network.

LCQNN: Linear Combination of Quantum Neural Networks Quantum Recurrent Embedding Neural Network

Reference 39

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Observation d80088d3-4d48-44fc-8bf2-6a345f8e69ff · outbound

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

LCQNN: Linear Combination of Quantum Neural Networks Does provable absence of barren plateaus imply classical simulability?

Reference 40

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This paper cites Power and limitations of single-qubit native quantum neural networks.Ad- vances in Neural Information Processing Systems , 35:27810– 27823, 2022.

LCQNN: Linear Combination of Quantum Neural Networks Power and limitations of single-qubit native quantum neural networks.Ad- vances in Neural Information Processing Systems , 35:27810– 27823, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.390989Z

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Observation 169181be-25fb-42a8-889b-db2845a5359b · outbound

This paper cites Quan- tum algorithm for linear systems of equations.

LCQNN: Linear Combination of Quantum Neural Networks Quan- tum algorithm for linear systems of equations

Reference 42

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This paper cites Hamiltonian Simulation Using Linear Combinations of Unitary Operations.

LCQNN: Linear Combination of Quantum Neural Networks Hamiltonian Simulation Using Linear Combinations of Unitary Operations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:29.094255Z

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This paper cites Multivariable quantum sig- nal processing (m-qsp): prophecies of the two-headed oracle.

LCQNN: Linear Combination of Quantum Neural Networks Multivariable quantum sig- nal processing (m-qsp): prophecies of the two-headed oracle

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.376935Z

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Observation 33c99922-1a1c-42c0-93d5-5b4954f489bd · outbound

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LCQNN: Linear Combination of Quantum Neural Networks Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:31:29.367693Z

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Observation 1e85ca2a-d0cd-4884-b80b-4b9e78bcb157 · outbound

This paper cites Quantum singular value transformation & its algorithmic applications.

LCQNN: Linear Combination of Quantum Neural Networks Quantum singular value transformation & its algorithmic applications

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.358779Z

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Observation 69283fea-bc1b-4d82-b9f7-7ff64df34286 · outbound

This paper cites Sample-Efficient Estimation of Nonlinear Quantum State Functions.

LCQNN: Linear Combination of Quantum Neural Networks Sample-Efficient Estimation of Nonlinear Quantum State Functions

Reference 47

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This paper cites Quan- tum architecture search: a survey.

LCQNN: Linear Combination of Quantum Neural Networks Quan- tum architecture search: a survey

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.350396Z

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Observation 140ec04e-0e89-4a2d-9db7-4040dfacb9ab · outbound

This paper cites Predicting quantum learnability from landscape fluctuation.

LCQNN: Linear Combination of Quantum Neural Networks Predicting quantum learnability from landscape fluctuation

Reference 49

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This paper cites Scalable Quantum Architecture Search via Landscape Analysis.

LCQNN: Linear Combination of Quantum Neural Networks Scalable Quantum Architecture Search via Landscape Analysis

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:29.112320Z

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Observation 8105e0fb-822d-49b4-862d-408f74b863bc · outbound

This paper cites The Quantum Schur Transform: I. Efficient Qudit Circuits.

LCQNN: Linear Combination of Quantum Neural Networks The Quantum Schur Transform: I. Efficient Qudit Circuits

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:29.115229Z

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This paper cites Effi- cient quantum circuits for schur and clebsch-gordan transforms.

LCQNN: Linear Combination of Quantum Neural Networks Effi- cient quantum circuits for schur and clebsch-gordan transforms

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.342287Z

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Observation af0f8261-26fd-4b41-8316-0a439016c085 · outbound

This paper cites Lie Algebraic Analysis and Control of Quantum Dynamics.

LCQNN: Linear Combination of Quantum Neural Networks Lie Algebraic Analysis and Control of Quantum Dynamics

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:29.121002Z

Source-reported events for the cited work

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Observation 5603ebb7-22c3-4f1b-9e13-428ba2cb080d · outbound

This paper cites QuAIRKit.

LCQNN: Linear Combination of Quantum Neural Networks QuAIRKit

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:29.332872Z

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Pith citing papers

Observation f108360d-b392-48fd-9c5c-4cf395afce2f · inbound

Stacking the Deck: Tunable Trainability in Stacked LCUs cites this paper.

Stacking the Deck: Tunable Trainability in Stacked LCUs LCQNN: Linear Combination of Quantum Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T08:00:30.518601Z

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