Paper Citation Record · LEDGER

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.14095.

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

pith.paper-citation-record.v1
2412.14095 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:33:38.786851Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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verified fuzzy36
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External citation measurements

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Outbound references

Observation fe9ba30a-98e3-4c34-a92e-f93f4cb73fa8 · outbound

This paper cites Assessing quantum computing performance for energy optimization in a prosumer community,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Assessing quantum computing performance for energy optimization in a prosumer community,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:42.041832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 139830fa-a1f9-4471-b52f-8a4d284f64d3 · outbound

This paper cites Variational quantum algorithms for the allocation of resources in a cloud/edge architecture,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Variational quantum algorithms for the allocation of resources in a cloud/edge architecture,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:42.025083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7664047-c9b9-4bce-ad3f-ef3b6345e16b · outbound

This paper cites Evaluating quantum optimization for dynamic self-reliant community detection,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Evaluating quantum optimization for dynamic self-reliant community detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.923470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d08d51a-02b4-4d00-9334-433690bfa5d0 · outbound

This paper cites Op portunities for quantum computing within net-zero power system optimization,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Op portunities for quantum computing within net-zero power system optimization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.806976Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c58a783-92f8-4040-ad5a-bed58566c86d · outbound

This paper cites Annealing -based quantum computing for combinatorial optimal power flow,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Annealing -based quantum computing for combinatorial optimal power flow,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.787795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9239e6eb-c9a6-43d2-a676-094525e00962 · outbound

This paper cites Fully -decentralized optimal power flow of multi-area power systems based on parallel dual dynamic programming,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Fully -decentralized optimal power flow of multi-area power systems based on parallel dual dynamic programming,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.569428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8270ef5-762e-4097-b7ce-dae03835a43a · outbound

This paper cites A deterministic linear program solver in current matrix multiplication time,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method A deterministic linear program solver in current matrix multiplication time,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.548783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c1bc449d-5725-45b5-b42f-05d8e60be911 · outbound

This paper cites Newton Raphson method,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Newton Raphson method,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.506910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c4be816-40bc-407e-a5fa-efe42967e180 · outbound

This paper cites A parallel quadratic programming method for dynamic optimization problems,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method A parallel quadratic programming method for dynamic optimization problems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.306107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95fe9d06-806a-4e42-9f10-bbad933f981f · outbound

This paper cites Power flow analysis using deep neural networks in three -phase unbalanced smart distribution grids,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Power flow analysis using deep neural networks in three -phase unbalanced smart distribution grids,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.287711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f43e528d-7c8b-47d4-b035-6acd6cdd33f9 · outbound

This paper cites Interior point methods 25 years later,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Interior point methods 25 years later,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.177827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8729d81-7898-467f-92d4-7bfd8de36291 · outbound

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

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Quantum algorithm for linear systems of equations,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:37.972569Z

Source-reported events for the cited work

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Observation 09b794b5-4448-4c26-b019-db0c1af1206a · outbound

This paper cites Variational quantum linear solver,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Variational quantum linear solver,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:41.052096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41bc7789-ec57-457c-9372-2f6dad020c7b · outbound

This paper cites Information-theoretic bounds on quantum advantage in machine learning,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Information-theoretic bounds on quantum advantage in machine learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.923727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62f41f2e-c678-4912-a959-407ed9ab216c · outbound

This paper cites Quantum -inspired optimal power flow,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Quantum -inspired optimal power flow,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.841028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e19f5f90-3a56-457c-8309-f8865d62a862 · outbound

This paper cites Noisy intermediate-scale quantum algorithms,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Noisy intermediate-scale quantum algorithms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.749927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ba2e0ee-879d-48b2-9214-ab06164436e8 · outbound

This paper cites Variational quantum algorithms,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Variational quantum algorithms,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.606211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1736aa64-40f0-4aee-b449-67817a8d59bf · outbound

This paper cites Machine learning assisted construction of a shallow depth dynamic ansatz for noisy quantum hardware,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Machine learning assisted construction of a shallow depth dynamic ansatz for noisy quantum hardware,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.579794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 497449f7-7e54-42cd-8ede-f919e0797e1f · outbound

This paper cites Exploring information for quantum machine learning models,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Exploring information for quantum machine learning models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.460927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47e1a7ff-0503-4c8a-9758-503bd5cdf8e7 · outbound

This paper cites A variational quantum linear solver application to discrete finite-element methods,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method A variational quantum linear solver application to discrete finite-element methods,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.442404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf1e6426-114a-4790-afbd-0353bc901512 · outbound

This paper cites Noise-resilient quantum power flow,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Noise-resilient quantum power flow,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.300465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1749e18-1395-4ec6-bd61-85005860bf7b · outbound

This paper cites Quantum-enhanced DC optimal power flow,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Quantum-enhanced DC optimal power flow,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.251553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85ea3188-885b-48f6-a9fd-6ebdd0edf77e · outbound

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

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Cost function dependent barren plateaus in shallow parametrized quantum circuits,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.232785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bc061e4-2cd4-4895-a036-6faf5a55c43f · outbound

This paper cites [Online].

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method [Online]

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:40.137119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c60efa25-45ed-48fd-83bc-42e2eb4aacfb · outbound

This paper cites Optimal power flow methods: A comprehensive survey,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Optimal power flow methods: A comprehensive survey,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.986931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af849a0a-ef28-4716-a789-d1adcaf8b5d3 · outbound

This paper cites Matpower 6.0 user’s manual,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Matpower 6.0 user’s manual,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.968174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b6d065c-31ec-4c3c-82f3-a2fc91c59694 · outbound

This paper cites Optimal power flow solution via noise - resilient quantum interior-point methods,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Optimal power flow solution via noise - resilient quantum interior-point methods,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.796409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07e87fcf-3314-4285-ae9d-4d7239599b53 · outbound

This paper cites An interior point method based optimal power flow,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method An interior point method based optimal power flow,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.779695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f9ff239b-2e1e-43aa-a8aa-5d3fe10ae120 · outbound

This paper cites Qubit- efficient encoding scheme for quantum simulations of electronic structure,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Qubit- efficient encoding scheme for quantum simulations of electronic structure,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.682847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a6f2928-f437-406e-9372-3c28d6207308 · outbound

This paper cites H2ZIXY: Pauli spin matrix decomposition of real symmetric matrices.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method H2ZIXY: Pauli spin matrix decomposition of real symmetric matrices

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:38.523752Z

Source-reported events for the cited work

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Observation d120cd73-212a-4471-8b5d-b31e3862b158 · outbound

This paper cites Mitigating barren plateaus of variational quantum eigensolvers,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Mitigating barren plateaus of variational quantum eigensolvers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.565945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f287f60c-39ac-4b38-bcae-540daace856c · outbound

This paper cites An initialization strategy for addressing barren plateaus in parametrized quantum circuits,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method An initialization strategy for addressing barren plateaus in parametrized quantum circuits,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.455870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 213ae52f-d047-4e42-9bd2-f428544cab7e · outbound

This paper cites Variational quantum simulation: a case study for understanding warm starts,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Variational quantum simulation: a case study for understanding warm starts,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.348924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d54f65a-7671-4c9f-8810-f61e53eb6694 · outbound

This paper cites Warm-starting and quantum computing: A systematic mapping study,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Warm-starting and quantum computing: A systematic mapping study,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.328272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d62a68eb-4940-40f8-b6e3-19b228917938 · outbound

This paper cites Stochastic gradient descent for hybrid quantum-classical optimization,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Stochastic gradient descent for hybrid quantum-classical optimization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.178723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a9093a9-dc0f-491b-af31-6b43242d0484 · outbound

This paper cites Advances in interior point methods for large -scale linear programming,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Advances in interior point methods for large -scale linear programming,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.068738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9c6ebc9-d2d1-41fa-87a2-16a5d95b837e · outbound

This paper cites Efficient interior point methods for multistage problems arising in receding horizon control,.

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method Efficient interior point methods for multistage problems arising in receding horizon control,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:39.051209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2cb90da1-f74f-49de-94c6-6488555940fe · outbound

This paper cites [Online].

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method [Online]

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:38.912444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.