Paper Citation Record · LEDGER

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.00247.

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

pith.paper-citation-record.v1
2506.00247 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

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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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Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation a16e0436-b704-4ae1-930a-81c59e50c1f9 · outbound

This paper cites Total data volume worldwide 2010-2025,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Total data volume worldwide 2010-2025,

Reference 1

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This paper cites Deep Learning,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Deep Learning,

Reference 2

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This paper cites An Introduction to Convolutional Neural Networks,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming An Introduction to Convolutional Neural Networks,

Reference 3

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This paper cites Backpropagation Applied to Handwritten Zip Code Recognition,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Backpropagation Applied to Handwritten Zip Code Recognition,

Reference 4

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This paper cites Beyond backpropagation: Using simulated annealing for training neural networks,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Beyond backpropagation: Using simulated annealing for training neural networks,

Reference 5

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Observation 9d39b439-2fe2-4c0d-baab-969c2f774b41 · outbound

This paper cites Simulated Annealing Algorithm for Deep Learning,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Simulated Annealing Algorithm for Deep Learning,

Reference 6

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Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Unresolved cited work

Reference 7

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Observation ebafdb35-c3cf-4f91-a8bf-79231ba28d96 · outbound

This paper cites [Online].

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming [Online]

Reference 8

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Observation 42beb912-c55e-4936-925a-1c63183dc904 · outbound

This paper cites Neural Networks and Deep Learning.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Neural Networks and Deep Learning

Reference 9

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Observation 427f75ce-a421-4776-828e-650ddc86dfaf · outbound

This paper cites Talbi,Metaheuristics From Design To Implementation.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Talbi,Metaheuristics From Design To Implementation

Reference 10

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This paper cites Optimization by Simulated Annealing,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Optimization by Simulated Annealing,

Reference 11

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Observation e9191107-e478-4ece-89e8-d1670b20fa0e · outbound

This paper cites Thermodynamical approach to the traveling salesman prob- lem: An efficient simulation algorithm,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Thermodynamical approach to the traveling salesman prob- lem: An efficient simulation algorithm,

Reference 12

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Observation a5550906-4014-44e9-8cc5-430c79ae5a04 · outbound

This paper cites Multivariable Optimization: Quantum Annealing & Computation,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Multivariable Optimization: Quantum Annealing & Computation,

Reference 13

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This paper cites Quantum annealing with manufactured spins,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum annealing with manufactured spins,

Reference 14

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This paper cites Simulated annealing algorithm for deep learning,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Simulated annealing algorithm for deep learning,

Reference 15

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Observation 4e08d555-aad1-492b-bb08-e565a9995b43 · outbound

This paper cites Quantum annealing versus classical machine learning applied to a simplified computational biology problem,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum annealing versus classical machine learning applied to a simplified computational biology problem,

Reference 16

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Observation 0dc11c93-41a8-4547-84c0-44e88c210cb7 · outbound

This paper cites Simulated quantum annealing can be exponentially faster than classical simulated annealing,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Simulated quantum annealing can be exponentially faster than classical simulated annealing,

Reference 17

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Observation 6e180f04-304d-4e22-b7ce-7d7efcc67e28 · outbound

This paper cites Goodfellow, Y.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Goodfellow, Y

Reference 18

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This paper cites Nishimori.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Nishimori

Reference 19

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This paper cites A Tutorial on Formulating and Using QUBO Models.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming A Tutorial on Formulating and Using QUBO Models

Reference 20

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This paper cites A QUBO model for the traveling salesman problem with time windows,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming A QUBO model for the traveling salesman problem with time windows,

Reference 21

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Observation 83f99857-5545-40cb-9942-eadee14eba1d · outbound

This paper cites Quantum convolutional neural networks,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum convolutional neural networks,

Reference 22

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Observation b38212ac-e647-45ad-b368-649ca112bc42 · outbound

This paper cites Quantum Neural Network States: A Brief Review of Methods and Applications.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum Neural Network States: A Brief Review of Methods and Applications

Reference 23

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Observation 2c086518-94ea-428e-b218-f586c0b3c495 · outbound

This paper cites Ascr report on quantum computing for science,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Ascr report on quantum computing for science,

Reference 24

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Observation 4f4ed0d3-7dbb-40ba-8cf8-c8abbbd34f04 · outbound

This paper cites Application of quantum annealing to training of deep neural networks,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Application of quantum annealing to training of deep neural networks,

Reference 25

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Observation ceb6f380-8c2d-4dbf-bc1b-eba193fb3619 · outbound

This paper cites A study of complex deep learning networks on high performance, neuromorphic, and quantum computers,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming A study of complex deep learning networks on high performance, neuromorphic, and quantum computers,

Reference 26

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This paper cites An introduction to quantum annealing,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming An introduction to quantum annealing,

Reference 27

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This paper cites Quantum algorithms for matrix multiplication and product verification,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum algorithms for matrix multiplication and product verification,

Reference 28

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Observation 228bcebd-f58b-4c10-b00b-a2b73eb9bd8d · outbound

This paper cites Efficient quantum com- puting simulation through dynamic matrix restructuring and distributed evaluation,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Efficient quantum com- puting simulation through dynamic matrix restructuring and distributed evaluation,

Reference 29

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Observation 3f728d9e-da99-4db4-b92f-97af043a1f5b · outbound

This paper cites Ground-state statistics from annealing algorithms: Quantum vs classical approaches,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Ground-state statistics from annealing algorithms: Quantum vs classical approaches,

Reference 30

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Observation 60c7e920-58fd-4b0b-a8dd-a0384179e2d5 · outbound

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Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Classification with Quantum Neural Networks on Near Term Processors

Reference 31

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Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum annealing for training convolutional neural net- work?

Reference 32

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Observation b067fdab-2067-48d5-b04a-59656ecb7f85 · outbound

This paper cites Can quantum annealing be used for training convolu- tional neural networks?.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Can quantum annealing be used for training convolu- tional neural networks?

Reference 33

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Observation 40d01bca-1961-44b5-b502-265714f8ebbe · outbound

This paper cites Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers

Reference 34

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This paper cites Lexicalizing linked data for a human friendly web,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Lexicalizing linked data for a human friendly web,

Reference 35

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This paper cites Introduction to machine learning. an early draft of a proposed textbook,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Introduction to machine learning. an early draft of a proposed textbook,

Reference 36

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This paper cites An introduction to cartan’s kak decomposition for qc programmers,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming An introduction to cartan’s kak decomposition for qc programmers,

Reference 37

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This paper cites Concept for an algorithm testing and evaluation program at nist,.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Concept for an algorithm testing and evaluation program at nist,

Reference 38

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This paper cites Available: https://www.statista.com/statistics/871513/ worldwide-data-created.

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming Available: https://www.statista.com/statistics/871513/ worldwide-data-created

Reference 2023

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Pith citing papers

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