Paper Citation Record · LEDGER

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines

As of 7 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 3 inbound Pith citation observations for arXiv:2507.15544.

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

pith.paper-citation-record.v1
2507.15544 v1

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:37:02.261265Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:54:13.332287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:45.575829Z

Reference resolution

99 of 99 outbound references displayed

verified exact1
verified fuzzy71
unresolved27
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1aaba73-bef4-4775-9883-32f1a9359d63 · outbound

This paper cites Reducibility among combinatorial problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Reducibility among combinatorial problems,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9789d513-e9ed-4197-a46a-e1dffce08dab · outbound

This paper cites Ising machines as hardware solvers of combinatorial optimization problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Ising machines as hardware solvers of combinatorial optimization problems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.970697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4b124a-b2b4-4ea7-b8ba-266a309cd68a · outbound

This paper cites Quantum annealing for industry applications: Introduction and review,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing for industry applications: Introduction and review,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.973831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5015d3c6-691a-40e9-868c-56245204d636 · outbound

This paper cites Traffic flow optimization using a quantum annealer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Traffic flow optimization using a quantum annealer,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.977179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1daf39e-1d55-419d-9056-c4d68312e08a · outbound

This paper cites Quantum annealing of vehicle routing problem with time, state and capacity,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing of vehicle routing problem with time, state and capacity,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.980110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53419b8d-41ce-4e4e-872e-265a627b3003 · outbound

This paper cites Control of auto- mated guided vehicles without collision by quantum annealer and digital devices,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Control of auto- mated guided vehicles without collision by quantum annealer and digital devices,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.983189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cae63ad-aca8-41b0-a530-1bea5b69cec3 · outbound

This paper cites An approach to the vehicle routing problem with balanced pick-up using Ising machines,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines An approach to the vehicle routing problem with balanced pick-up using Ising machines,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.986898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14187c8-aa6e-42bf-b69c-bce387aaa7e8 · outbound

This paper cites Multi-day travel planning using Ising machines for real-world ap- plications,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Multi-day travel planning using Ising machines for real-world ap- plications,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.989724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8c0fba-2284-4664-b420-99a27c8bc7a8 · outbound

This paper cites An Ising machine- based solver for visiting-route recommendation problems in amusement parks,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines An Ising machine- based solver for visiting-route recommendation problems in amusement parks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.993018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21c9f90-6a39-4863-a6f6-d4b3c9bd6ea6 · outbound

This paper cites Travel time optimization on multi- AGV routing by reverse annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Travel time optimization on multi- AGV routing by reverse annealing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.995819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54e55f4-cd04-4af4-8c1d-375d4833a66e · outbound

This paper cites Hybrid subQUBO an- nealing with a correction process for multi-day intermodal trip planning,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Hybrid subQUBO an- nealing with a correction process for multi-day intermodal trip planning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:01.998683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6b114c-f9ff-48fa-9ab6-bfa45b31ba34 · outbound

This paper cites ISAAQ: Ising Machine Assisted Quantum Compiler.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines ISAAQ: Ising Machine Assisted Quantum Compiler

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.001500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8091424d-b709-40af-9434-e991733a445d · outbound

This paper cites Observation of topological phenomena in a programmable lattice of 1,800 qubits,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Observation of topological phenomena in a programmable lattice of 1,800 qubits,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.005354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc04019-32ac-4551-b4bd-846e9d514d32 · outbound

This paper cites Phase transitions in a programmable quantum spin glass simulator,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Phase transitions in a programmable quantum spin glass simulator,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.008084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7758d3-4d62-4cad-bbfe-42049c36039a · outbound

This paper cites A quantum annealing approach to ionic diffusion in solids,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A quantum annealing approach to ionic diffusion in solids,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.010814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa09b0c-8363-4721-a83a-85bed09117f5 · outbound

This paper cites A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.013671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25dd50e0-dccf-43ee-b70c-a7f954d31702 · outbound

This paper cites Quantum annealing boosts prediction of multimolecular adsorption on solid surfaces avoiding com- binatorial explosion,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing boosts prediction of multimolecular adsorption on solid surfaces avoiding com- binatorial explosion,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.016448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47918b7c-a6f7-4159-9bce-d57b9e15b123 · outbound

This paper cites Development of optimization method for truss structure by quantum annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Development of optimization method for truss structure by quantum annealing,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.019317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f0d9447-3188-4ee9-8798-695be7425580 · outbound

This paper cites Quantum annealing-assisted lattice optimization,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing-assisted lattice optimization,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.022442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d182d21-626a-4765-a97c-87d91299f1f0 · outbound

This paper cites Formulation of correction term in QUBO form for phase-field model,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Formulation of correction term in QUBO form for phase-field model,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.025793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab9a903d-8d51-409a-9570-87e04c170e10 · outbound

This paper cites Solving the optimal trading trajectory problem using a quan- tum annealer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Solving the optimal trading trajectory problem using a quan- tum annealer,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:03.001850Z

Source-reported events for the cited work

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Observation 71ae34b8-f2e6-424a-8b53-e2f444976835 · outbound

This paper cites Application of Ising machines and a software development for Ising machines,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Application of Ising machines and a software development for Ising machines,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.993567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b2a181ae-8229-4b82-a044-86a8920b1d63 · outbound

This paper cites Real-time trading system based on selections of potentially profitable, un- correlated, and balanced stocks by NP-hard combinatorial optimization,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Real-time trading system based on selections of potentially profitable, un- correlated, and balanced stocks by NP-hard combinatorial optimization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.984880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2ac2210c-9011-450a-a2a6-fdafd1229e9a · outbound

This paper cites Performance of objective functions and optimisation procedures for parameter estimation in system biology models,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Performance of objective functions and optimisation procedures for parameter estimation in system biology models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.975876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 953dc121-7759-4e23-936d-4a78efd0b2d0 · outbound

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

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing versus classical machine learning applied to a simplified computational biology problem,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.967639Z

Source-reported events for the cited work

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Observation 73d71796-d171-4d3b-a56e-abfc0aee4f5a · outbound

This paper cites Designing metamaterials with quantum annealing and factorization ma- chines,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Designing metamaterials with quantum annealing and factorization ma- chines,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.959202Z

Source-reported events for the cited work

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Observation 8433b00e-457e-4258-a0d5-3c2696ec900e · outbound

This paper cites Continuous black-box optimization with an Ising machine and random subspace coding,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Continuous black-box optimization with an Ising machine and random subspace coding,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.949707Z

Source-reported events for the cited work

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Observation c24b1e2a-c677-4fdc-bb1b-3c63220d4391 · outbound

This paper cites Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.940839Z

Source-reported events for the cited work

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Observation c6c46e74-c30e-43a0-9e70-aad72437ad09 · outbound

This paper cites Black-box optimization for integer-variable problems using Ising machines and factorization machines.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Black-box optimization for integer-variable problems using Ising machines and factorization machines

Reference 29

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Observation b513bc14-b5a8-48d0-837b-63b7cb242fbd · outbound

This paper cites Quantum annealing designs nonhemolytic antimicrobial peptides in a discrete latent space,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing designs nonhemolytic antimicrobial peptides in a discrete latent space,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.932067Z

Source-reported events for the cited work

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Observation 27b8e933-e519-4d5f-b938-99656a39b9eb · outbound

This paper cites Quantum annealing optimization method for the design of barrier materials in magnetic tunnel junctions,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing optimization method for the design of barrier materials in magnetic tunnel junctions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.923127Z

Source-reported events for the cited work

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Observation f4ae91d5-0509-4fab-ac37-85dfc71063d4 · outbound

This paper cites A 20k-spin Ising chip to solve combinatorial optimization problems with CMOS annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A 20k-spin Ising chip to solve combinatorial optimization problems with CMOS annealing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.914228Z

Source-reported events for the cited work

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Observation 6029426c-c220-4ec1-ac04-41828b52bad8 · outbound

This paper cites A 2 × 30k-spin multi-chip scalable CMOS annealing processor based on a processing-in-memory approach for solving large-scale combinatorial op- timization problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A 2 × 30k-spin multi-chip scalable CMOS annealing processor based on a processing-in-memory approach for solving large-scale combinatorial op- timization problems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.905154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7f7c884e-c7b8-4b95-bea1-20073e0e6f9d · outbound

This paper cites An Ising computer based on simulated quantum annealing by path integral Monte Carlo method,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines An Ising computer based on simulated quantum annealing by path integral Monte Carlo method,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.895896Z

Source-reported events for the cited work

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Observation 6f142756-8d9f-4c8f-af90-91a532c27a3b · outbound

This paper cites Binary optimization by momentum annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Binary optimization by momentum annealing,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.886492Z

Source-reported events for the cited work

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Observation b3f7de02-a9d6-4a6e-87ea-181c8e03c754 · outbound

This paper cites An accelerator architecture for combinatorial optimization problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines An accelerator architecture for combinatorial optimization problems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.877557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 826b357d-0eab-4fe6-828f-336b78168a55 · outbound

This paper cites Ising-model optimizer with parallel-trial bit-sieve engine,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Ising-model optimizer with parallel-trial bit-sieve engine,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.866904Z

Source-reported events for the cited work

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Observation 751b2637-897a-450e-ac78-b08f5b0c166c · outbound

This paper cites Physics-inspired optimization for quadratic uncon- strained problems using a digital annealer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Physics-inspired optimization for quadratic uncon- strained problems using a digital annealer,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.857438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bb51415f-7017-49c3-9306-bf0130bc9716 · outbound

This paper cites Digital annealer for high-speed solving of combinatorial optimization problems and its applications,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Digital annealer for high-speed solving of combinatorial optimization problems and its applications,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.848204Z

Source-reported events for the cited work

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Observation 7ed07427-fd6d-450b-9deb-6c8c413ed13f · outbound

This paper cites FPGA-based simulated bi- furcation machine,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines FPGA-based simulated bi- furcation machine,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.838861Z

Source-reported events for the cited work

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Observation 41a61aff-2763-4b61-bbe1-e544df01c7a4 · outbound

This paper cites High-performance combinatorial optimization based on classical mechanics,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines High-performance combinatorial optimization based on classical mechanics,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.829526Z

Source-reported events for the cited work

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Observation 0577e5eb-4a3d-427a-8419-b993d0c4ec8b · outbound

This paper cites Fixstars Amplify Annealing Engine: Fixstars Amplify,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Fixstars Amplify Annealing Engine: Fixstars Amplify,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.091172Z

Source-reported events for the cited work

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Observation 54018d54-e764-4517-bf91-86284cc60901 · outbound

This paper cites 100,000-spin coherent Ising machine,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines 100,000-spin coherent Ising machine,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.814808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e34e4391-bffb-423b-a745-4f6a4a20751d · outbound

This paper cites Next-Generation Topology of D-Wave Quantum Processors.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Next-Generation Topology of D-Wave Quantum Processors

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.097527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9adcdac3-f169-4bea-8056-aebc1e049c09 · outbound

This paper cites The advantage system: Performance update,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines The advantage system: Performance update,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.805959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 79767a3f-c1d9-422f-997e-1a4c4bf8cc25 · outbound

This paper cites Quantum annealing in the transverse Ising model,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing in the transverse Ising model,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.797014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 914a3d70-6592-4263-b8e9-5e708710768c · outbound

This paper cites Quantum Computation by Adiabatic Evolution.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum Computation by Adiabatic Evolution

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.106616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cc5d4c-cdbd-4343-9f37-b0fad3cf0a16 · outbound

This paper cites A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.788199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15c9a500-fc5f-457b-8054-b91262ab0b05 · outbound

This paper cites Quantum annealing for combinatorial optimization: A benchmarking study,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum annealing for combinatorial optimization: A benchmarking study,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.779430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7fe16f36-8c78-4cd7-8e47-784fb7189411 · outbound

This paper cites Optimization by simulated annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Optimization by simulated annealing,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.115681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac9efe7d-fed7-448a-8f43-2dd017abbe98 · outbound

This paper cites Opti- mization by simulated annealing: An experimental evaluation; part I, graph partitioning,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Opti- mization by simulated annealing: An experimental evaluation; part I, graph partitioning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.764737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 08c47c73-ca99-47c0-b992-3393dfae8868 · outbound

This paper cites Optimization by simulated annealing: An experimental evaluation; part II, graph coloring and number partitioning,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Optimization by simulated annealing: An experimental evaluation; part II, graph coloring and number partitioning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.756237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 12e0b7f5-0de1-44bc-b161-b9d84736fea2 · outbound

This paper cites Optimised simulated annealing for Ising spin glasses,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Optimised simulated annealing for Ising spin glasses,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.746880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f2bfc9c-ed00-4ccf-b555-4743422d057e · outbound

This paper cites Beitrag zur Theorie des Ferromagnetismus,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Beitrag zur Theorie des Ferromagnetismus,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.737954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1de62b8e-7b13-4ca5-adfa-2f74b900fafc · outbound

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

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines The unconstrained binary quadratic programming problem: A survey,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.729582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33818776-486e-41cf-89d1-f4749e78d5b9 · outbound

This paper cites Ising formulations of many NP problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Ising formulations of many NP problems,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.720267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d64f3d02-5471-48b7-bccd-ab6543aecb4f · outbound

This paper cites Tanaka, R.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Tanaka, R

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.711092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 11414ce1-6f3f-4b75-984a-cf3728d63b8f · outbound

This paper cites Minor-embedding in adiabatic quantum computation: II. Minor- universal graph design,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Minor-embedding in adiabatic quantum computation: II. Minor- universal graph design,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.702742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 67bfd7b2-fc4e-42f6-a3cf-18c4b227a11d · outbound

This paper cites A practical heuristic for finding graph minors.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A practical heuristic for finding graph minors

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.143401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e3e306-925c-40c6-bc93-a57452aaf495 · outbound

This paper cites A fully-connected Ising model embedding method and its evaluation for CMOS annealing machines,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A fully-connected Ising model embedding method and its evaluation for CMOS annealing machines,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.693949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3b6c8843-d9e0-449d-91cf-4e6e29be21e8 · outbound

This paper cites Improving solutions by embedding larger subproblems in a D-Wave quantum annealer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Improving solutions by embedding larger subproblems in a D-Wave quantum annealer,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.685914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4215c236-b113-49eb-b41d-d941d5fbeeb3 · outbound

This paper cites Guiding principle for minor- embedding in simulated-annealing-based Ising machines,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Guiding principle for minor- embedding in simulated-annealing-based Ising machines,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.677692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 79c83efa-265f-4894-a83c-bc53196d2c6b · outbound

This paper cites How to reduce the bit- width of an Ising model by adding auxiliary spins,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines How to reduce the bit- width of an Ising model by adding auxiliary spins,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.669740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09c3ea33-bc24-498f-84a1-a2da3a697ea8 · outbound

This paper cites An efficient combined bit-width reducing method for Ising models,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines An efficient combined bit-width reducing method for Ising models,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.660300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc474287-1808-4be5-acb3-20bced6dcc98 · outbound

This paper cites Dynamical process of a bit-width reduced Ising model with simulated annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Dynamical process of a bit-width reduced Ising model with simulated annealing,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.651555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b7fa7ab6-d137-411b-b570-75817c9ed944 · outbound

This paper cites Partitioning optimization problems for hybrid classical/quantum execution,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Partitioning optimization problems for hybrid classical/quantum execution,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.642599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 887a97db-9b33-42ae-8c95-8f1ba92eabb5 · outbound

This paper cites Boosting quantum annealer performance via sample persistence,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Boosting quantum annealer performance via sample persistence,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.633225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 85bd2e1c-babe-454e-88fd-234fd412d7ab · outbound

This paper cites Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.624879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cf840dba-77c2-49ef-8210-5a28ba159fe5 · outbound

This paper cites Hybrid quantum annealing via molecular dynamics,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Hybrid quantum annealing via molecular dynamics,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.616785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5df3b15-83c9-4727-b555-052eb735218d · outbound

This paper cites Hybrid annealing method based on subQUBO model extraction with multiple solution instances,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Hybrid annealing method based on subQUBO model extraction with multiple solution instances,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.608790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86b1d68d-cd9d-4a95-b83c-df53a09ea96e · outbound

This paper cites Trip planning based on subQUBO annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Trip planning based on subQUBO annealing,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.599861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e8923849-4622-4dd8-a2a2-e98a17eccd35 · outbound

This paper cites Hybrid optimization method using simulated-annealing-based Ising machine and quantum annealer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Hybrid optimization method using simulated-annealing-based Ising machine and quantum annealer,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.591582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1db6a715-f74e-4b1c-adc7-39e269e5603b · outbound

This paper cites Hybrid quantum annealing for larger-than-QPU lattice-structured problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Hybrid quantum annealing for larger-than-QPU lattice-structured problems,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.583358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a36e8fc3-34c2-4b35-a286-0eb7896fcbe9 · outbound

This paper cites Hybrid algorithm of linear programming relaxation and quantum annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Hybrid algorithm of linear programming relaxation and quantum annealing,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.574913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df44dcf6-3474-4a46-b49d-8ca1b7189640 · outbound

This paper cites Statistical Qubit Freezing Extending Physical Limit of Quantum Annealers.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Statistical Qubit Freezing Extending Physical Limit of Quantum Annealers

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:37:02.305421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dcebec91-83df-48c6-8cb5-0eccb8862b6a · outbound

This paper cites Annealing-assisted column generation for inequality-constrained combinatorial optimization problems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Annealing-assisted column generation for inequality-constrained combinatorial optimization problems,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.566695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 36de8dca-1eeb-4d1b-af94-29381c163976 · outbound

This paper cites Equation of state calculations by fast computing machines,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Equation of state calculations by fast computing machines,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.558269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 05f26278-2175-451c-9c8b-f8b46fa780c0 · outbound

This paper cites Monte Carlo sampling methods using Markov chains and their applications,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Monte Carlo sampling methods using Markov chains and their applications,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.550015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation de81b34e-8ae2-4cac-a552-72964bcd9f82 · outbound

This paper cites Time-dependent statistics of the Ising model,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Time-dependent statistics of the Ising model,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.541729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7a6d08c9-0ace-448b-a53c-8603ba7eb081 · outbound

This paper cites Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.532829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fb858b7d-d825-48be-8924-6f974851bc48 · outbound

This paper cites On the adiabatic theorem of quantum mechanics,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines On the adiabatic theorem of quantum mechanics,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.523792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d778913-cabd-469b-8af4-a73fe3cd14c2 · outbound

This paper cites Messiah, Quantum mechanics.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Messiah, Quantum mechanics

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.514153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5c07615a-8af1-4d66-ab06-f66dfde5a4de · outbound

This paper cites Bounds for the adiabatic approxi- mation with applications to quantum computation,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Bounds for the adiabatic approxi- mation with applications to quantum computation,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.505213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fbb76185-5380-4552-b93d-b58fff1fe6bb · outbound

This paper cites Solver parameters - D-Wave system documentation,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Solver parameters - D-Wave system documentation,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.496117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1731ae78-2ee3-499f-8131-e739cfdf016d · outbound

This paper cites Pegasus: The second connectivity graph for large-scale quantum annealing hardware.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Pegasus: The second connectivity graph for large-scale quantum annealing hardware

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:02.222459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9559de97-4a80-4af5-aae0-23438d0bc44d · outbound

This paper cites The Advantage system: Performance update,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines The Advantage system: Performance update,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.486887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fd2e6c7f-fd29-477c-ad92-f55952ef6264 · outbound

This paper cites Ordering in certain statistical systems of Ising spins,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Ordering in certain statistical systems of Ising spins,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.477630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6fc74897-4fbc-44d1-aa1a-356648a78727 · outbound

This paper cites A decorated Ising lattice with three transition temperatures,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines A decorated Ising lattice with three transition temperatures,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.468203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be418170-d955-40dd-8a16-4eb6ce1ad108 · outbound

This paper cites Ising models with several phase transi- tions,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Ising models with several phase transi- tions,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.458852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 20220610-8348-44f8-8d4c-4a9421c8ef2e · outbound

This paper cites Spin correlation functions on frustrated lattices,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Spin correlation functions on frustrated lattices,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.448943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 654f333c-41b4-4811-a741-cfc584ffc196 · outbound

This paper cites Reentrant phase transitions in the two-dimensional Ising model with competing nearest neighbour interactions,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Reentrant phase transitions in the two-dimensional Ising model with competing nearest neighbour interactions,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.438472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e5abade9-865e-4f6c-bb94-898d235782ba · outbound

This paper cites Dynamical properties of temperature chaos and memory effect,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Dynamical properties of temperature chaos and memory effect,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.429570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a8fb4b07-0430-4df6-a557-3adec395366f · outbound

This paper cites Nonmonotonic relaxation in systems with reentrant-type interaction,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Nonmonotonic relaxation in systems with reentrant-type interaction,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.420156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0c239fb9-dfc6-4620-8f20-2b0294bf2a3c · outbound

This paper cites Nonmonotonic dynamics in a frustrated Ising model with time-dependent transverse field,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Nonmonotonic dynamics in a frustrated Ising model with time-dependent transverse field,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.410340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c8aafa8-f155-46d6-9837-0a7f0ed5aa0e · outbound

This paper cites Advantages of fixing spins in quantum annealing,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Advantages of fixing spins in quantum annealing,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.400464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f44a54af-2ebd-4497-98ea-f7faedc064c5 · outbound

This paper cites QuTiP: An open-source Python framework for the dynamics of open quantum systems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines QuTiP: An open-source Python framework for the dynamics of open quantum systems,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.390077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6fa44da9-432b-481d-9a70-6f1946024efb · outbound

This paper cites QuTiP 2: A Python framework for the dynamics of open quantum systems,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines QuTiP 2: A Python framework for the dynamics of open quantum systems,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.380223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 220d8d88-fc62-4322-84c2-bcb3b979f503 · outbound

This paper cites Experimental investigation of performance differences between coherent Ising machines and a quantum annealer,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Experimental investigation of performance differences between coherent Ising machines and a quantum annealer,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.370206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5b932a51-035f-496e-924f-7ca769ae2518 · outbound

This paper cites Quantum critical VOLUME 4, 2016 15 Kikuchi et al.: Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines dynamics in a 5,000-qubit programmable spin glass,.

Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines Quantum critical VOLUME 4, 2016 15 Kikuchi et al.: Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines dynamics in a 5,000-qubit programmable spin glass,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:02.360326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 9eca6c9a-6a32-46a2-82d9-b2b19fbb520c · inbound

Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Problems cites this paper.

Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Problems Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:13.332287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a58dfd1-26b0-4913-9f10-132a5caa8310 · inbound

High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation cites this paper.

High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:38:10.508742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 05390d35-89c1-4463-ad3a-7d80dc6f17a7 · inbound

Stage-dependent integer-binary encoding in factorization-machine black-box optimization cites this paper.

Stage-dependent integer-binary encoding in factorization-machine black-box optimization Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.577687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.