Paper Citation Record · LEDGER

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.16138.

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

pith.paper-citation-record.v1
2411.16138 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation cd79bcd6-a029-4bcf-bb59-6dc9e30f26e6 · outbound

This paper cites Noisy intermediate-scale quantum algorithms.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Noisy intermediate-scale quantum algorithms

Reference 1

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Observation fcffe850-bb0a-4016-b95d-a7004a4ee6d7 · outbound

This paper cites Simulating physics with computers.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Simulating physics with computers

Reference 2

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Observation 6b1dafe0-db68-4523-8665-ed83864fee26 · outbound

This paper cites Quantum computation and quantum information.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum computation and quantum information

Reference 3

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Observation a6c8a0f9-4e91-42e2-b561-bd92adda5117 · outbound

This paper cites Polynomial-time algorithms for prime factorization and discrete l ogarithms on a quantum computer.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Polynomial-time algorithms for prime factorization and discrete l ogarithms on a quantum computer

Reference 4

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Observation 5f08514e-9fb3-4aed-abff-17f0a27a9c43 · outbound

This paper cites The dashed line indicates the movement of the center.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits The dashed line indicates the movement of the center

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.299966Z

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Observation b07c176b-906a-47a4-ba13-275976680937 · outbound

This paper cites A fast quantum mechanical algorithm for database search.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits A fast quantum mechanical algorithm for database search

Reference 6

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Observation e6131363-bd17-4657-bb04-f30773f09c7a · outbound

This paper cites Universal quantum simulators.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Universal quantum simulators

Reference 7

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Observation 850807b7-4bd8-4374-94df-8e86f744cc22 · outbound

This paper cites Quantum machine learning.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum machine learning

Reference 8

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Observation 64084af7-fc97-4fae-aff8-a6e6d7e499f7 · outbound

This paper cites Quantum machine learning with D-wave quantum computer.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum machine learning with D-wave quantum computer

Reference 9

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Observation 6a9f6334-1936-4c50-bae4-db5d4539378d · outbound

This paper cites Quantum Engineering 2 2020:e34.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum Engineering 2 2020:e34

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.254451Z

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Observation eb73336e-6bd5-469e-aadb-c140d540041f · outbound

This paper cites Integrating machine learning algorithms with quantum annealing solvers for online fraud detection.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Integrating machine learning algorithms with quantum annealing solvers for online fraud detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.243689Z

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Observation 2972c1de-804f-46da-945d-dccb5a698ecd · outbound

This paper cites Quantum machine learning: A tutorial.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum machine learning: A tutorial

Reference 12

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Observation 8a2dd8ac-c66e-4e54-ba2c-7011d97ffb24 · outbound

This paper cites Decomposition algorithms for solving np-hard problems on a quantum annealer.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Decomposition algorithms for solving np-hard problems on a quantum annealer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.219321Z

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Observation 54a21e0d-2ef6-4e99-b2f2-8c2e4d252745 · outbound

This paper cites Efficiently embedding QUBO problems on adiabatic quantum computers.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Efficiently embedding QUBO problems on adiabatic quantum computers

Reference 14

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59aa27cf-6444-4e91-a337-260df1298502 · outbound

This paper cites QUBO formulations of three NP problems.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits QUBO formulations of three NP problems

Reference 15

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Observation 0d6ac9b3-b167-4ac3-85bf-254ae664c182 · outbound

This paper cites Classifying and benchmarking quantum annealing algorithms based on quadratic unconstrained binary optimization for solving np-hard problems.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Classifying and benchmarking quantum annealing algorithms based on quadratic unconstrained binary optimization for solving np-hard problems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.185530Z

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Observation e7f2ffd6-168d-4ad4-8e30-a550189dd2a7 · outbound

This paper cites Support vector machines on the d -wave quantum annealer.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Support vector machines on the d -wave quantum annealer

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.174740Z

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Observation edc86cce-83c0-4ba4-9139-703cfcd62707 · outbound

This paper cites In: IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium IEEE.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits In: IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium IEEE

Reference 18

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Observation 7ce38f9e-816e-4ba1-a1de-126f776b7ed9 · outbound

This paper cites QUBO formulations for training machine learning models.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits QUBO formulations for training machine learning models

Reference 19

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Observation a861a36b-a5e1-4d14-9b8f-b95a6d58d8ab · outbound

This paper cites Adiabatic quantum linear regression.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Adiabatic quantum linear regression

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.141213Z

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Observation 840e22d7-2f6b-4a9d-b5c2-a33e8988b1c8 · outbound

This paper cites Balanced k -means clustering on an adiabatic quantum computer.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Balanced k -means clustering on an adiabatic quantum computer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.130158Z

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Observation ec2e3471-6b62-48ed-a201-d361bc2ed3b6 · outbound

This paper cites Distance-based clustering using QUBO formulations.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Distance-based clustering using QUBO formulations

Reference 22

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Observation 89a0bee5-2eb7-4f90-89cf-142272940445 · outbound

This paper cites Quantum algorithm for linear systems of equations.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum algorithm for linear systems of equations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.108145Z

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Observation 80533dad-bab3-4c75-8623-d59116f8b00c · outbound

This paper cites Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations

Reference 24

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Observation e0164b6f-744c-477e-ac96-d9a8df8199b3 · outbound

This paper cites Quantum algorithm for systems of linear equations with exponentially improved dependence on precision.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum algorithm for systems of linear equations with exponentially improved dependence on precision

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.085946Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b6216e7-8de2-4179-a9d3-b787d27f4297 · outbound

This paper cites Quantum linear system algorithm for dense matrices.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum linear system algorithm for dense matrices

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.074509Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af3932e8-3af0-428a-aafe-bee334bc67a3 · outbound

This paper cites Quantum algorithms for systems of linear equations inspired by adiabatic quantum computing.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum algorithms for systems of linear equations inspired by adiabatic quantum computing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.063161Z

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Observation 2d6bb703-fdee-41f3-afe9-3fadd10a46d8 · outbound

This paper cites A survey on HHL algorithm: From theory to application in quantum machine learning.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits A survey on HHL algorithm: From theory to application in quantum machine learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.049713Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07e083c5-441c-42e1-850a-a6c1b76961b8 · outbound

This paper cites QUBO formulations for numerical quantum computing.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits QUBO formulations for numerical quantum computing

Reference 29

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Observation 2b8afcce-16fc-492b-a1f1-85146ab347e5 · outbound

This paper cites HUBO formulations for solving the eigenvalue problem.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits HUBO formulations for solving the eigenvalue problem

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.038358Z

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Observation 6b93c8b1-331e-4047-9b64-bec2ab7b9e42 · outbound

This paper cites HUBO and QUBO models for prime factorization.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits HUBO and QUBO models for prime factorization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.027255Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12149e93-d9e7-4f4e-88a7-bb4a8edf7796 · outbound

This paper cites A highly accurate quantum optimization algorithm for ct image reconstruction based on sinogram patterns.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits A highly accurate quantum optimization algorithm for ct image reconstruction based on sinogram patterns

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.016587Z

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Observation d3f6aa31-79dc-4f1e-9790-5f9a4d15dad7 · outbound

This paper cites Parallel quantum annealing.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Parallel quantum annealing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:19.006118Z

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Observation e865f219-e137-4411-b08e-b9ef19346357 · outbound

This paper cites Solving Larger Maximum Clique Problems Using Parallel Quantum Annealing.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Solving Larger Maximum Clique Problems Using Parallel Quantum Annealing

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:36:18.797437Z

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Observation fd79034c-2c06-4137-b513-b5f9d220ebae · outbound

This paper cites Quantum annealing: The fastest route to quantum computation? The European Physical Journal Special Topics 2015:224(1):75-88.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum annealing: The fastest route to quantum computation? The European Physical Journal Special Topics 2015:224(1):75-88

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:18.994872Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b4716ae-b170-47c5-b323-54d7ca743af2 · outbound

This paper cites Larger sparse quadratic assignment problem optimization using quantum annealing and a bit - flip heuristic algorithm.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Larger sparse quadratic assignment problem optimization using quantum annealing and a bit - flip heuristic algorithm

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:18.982925Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4b6d533-fa5f-488f-b4d0-9516f47d2cf1 · outbound

This paper cites QUBO Formulations for a System of Linear Equations.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits QUBO Formulations for a System of Linear Equations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:18.971636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12107138-4abf-46a8-81c4-5da217b4d1e8 · outbound

This paper cites Range dependent Hamiltonian Algorithm for numerical QUBO formulation.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Range dependent Hamiltonian Algorithm for numerical QUBO formulation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:36:18.781807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c97c0150-deb9-4683-bf14-a94b96c171ea · outbound

This paper cites The unconstrained binary quadratic programming problem: a survey.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits The unconstrained binary quadratic programming problem: a survey

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:18.959781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eae57cff-4dbe-423d-8103-0df5869c4aff · outbound

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

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits A Tutorial on Formulating and Using QUBO Models

Reference 40

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Source-reported events for the cited work

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Observation 8c397dd1-2708-4ac1-a09d-fe764f08aff1 · outbound

This paper cites A QUBO formulation of minimum multicut problem instances in trees for d - wave quantum annealers.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits A QUBO formulation of minimum multicut problem instances in trees for d - wave quantum annealers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:18.948547Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fd63d794-de63-4b52-b7bf-c6cb5c4ad2dd · outbound

This paper cites Quantum Information Processing 2022:21:141.Transl.

QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits Quantum Information Processing 2022:21:141.Transl

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:18.935646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

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