Quantum-informed surrogate sampling for combinatorial optimization | Paper Citation Record

Observation bea7bbbf-a5b5-4fbf-ad5c-ed91293e347b · outbound

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Observation b1ee64a1-b4dd-4535-af75-1e9c11fad3fc · outbound

This paper cites [33], we can useregularized warm-start QAOA(R WS-QAOA) to generate correlations that can be supplied to QISS.

Quantum-informed surrogate sampling for combinatorial optimization [33], we can useregularized warm-start QAOA(R WS-QAOA) to generate correlations that can be supplied to QISS

Reference 2

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Observation f3f0d57f-68ae-4b0c-81b1-cd5f53b49a32 · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 4e506a7a-e4bb-4451-b484-0079e956aa91 · outbound

This paper cites 8: (i) Simulated Annealing (SA) and (ii) a low-rank Burer–Monteiro (BM) implementation of the Goemans–Williamson SDP relaxation for MaxCut.

Quantum-informed surrogate sampling for combinatorial optimization 8: (i) Simulated Annealing (SA) and (ii) a low-rank Burer–Monteiro (BM) implementation of the Goemans–Williamson SDP relaxation for MaxCut

Reference 4

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Observation 5957a23e-17da-4c3e-86d0-a6ae8d0ce283 · outbound

This paper cites We therefore supply QISS with the one-body expectations⟨Z i⟩for all i∈Vtogether with the two-body correlators⟨Z iZj⟩that do not factorize, i.e.

Quantum-informed surrogate sampling for combinatorial optimization We therefore supply QISS with the one-body expectations⟨Z i⟩for all i∈Vtogether with the two-body correlators⟨Z iZj⟩that do not factorize, i.e

Reference 5

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Observation 16b6a1c5-f615-4afa-92f4-cbad5d01b298 · outbound

This paper cites 10, we compare the independence ratios averaged over 40 instances at each system sizeN.

Quantum-informed surrogate sampling for combinatorial optimization 10, we compare the independence ratios averaged over 40 instances at each system sizeN

Reference 6

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Observation 051a04e6-06e8-4dde-bedf-9b21709c30b3 · outbound

This paper cites Hogg and D.

Quantum-informed surrogate sampling for combinatorial optimization Hogg and D

Reference 7

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Observation 290be637-08e0-44ef-98fd-821a0a528901 · outbound

This paper cites Hogg, Phys.

Quantum-informed surrogate sampling for combinatorial optimization Hogg, Phys

Reference 8

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Observation 1dfd450c-ce43-4129-8d41-5b98d97217aa · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Quantum-informed surrogate sampling for combinatorial optimization A Quantum Approximate Optimization Algorithm

Reference 9

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Observation 64619ab4-a4e4-4161-911d-3fec0c14e7a1 · outbound

This paper cites Montanaro, Physical Review Research2(2020), 10.1103/physrevresearch.2.013056.

Quantum-informed surrogate sampling for combinatorial optimization Montanaro, Physical Review Research2(2020), 10.1103/physrevresearch.2.013056

Reference 10

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Observation d3d21eb0-61a6-4c5b-a513-893fbbc8df95 · outbound

This paper cites Challenges and Opportunities in Quantum Optimization.

Quantum-informed surrogate sampling for combinatorial optimization Challenges and Opportunities in Quantum Optimization

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Observation 68f2bd95-593b-481f-8dfd-5571873e0d7e · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 12

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Observation 32725509-ed3f-404f-aa33-696a9d25cfa1 · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 13

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Observation a41084ec-c162-446e-a984-db755472169a · outbound

This paper cites Mechanisms for quantum advantage in global optimization of nonconvex functions,.

Quantum-informed surrogate sampling for combinatorial optimization Mechanisms for quantum advantage in global optimization of nonconvex functions,

Reference 14

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Observation 44585dc2-e8be-478b-a34b-ae130b1dca8c · outbound

This paper cites Pagano andet al., Proc.

Quantum-informed surrogate sampling for combinatorial optimization Pagano andet al., Proc

Reference 15

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 16

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Observation 7c0bddcd-14e2-437e-bb91-c96d811c92f9 · outbound

This paper cites Ebadi, A.

Quantum-informed surrogate sampling for combinatorial optimization Ebadi, A

Reference 17

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Observation 7dca08ff-d014-4801-b066-097ac3af1471 · outbound

This paper cites Pelofske, A.

Quantum-informed surrogate sampling for combinatorial optimization Pelofske, A

Reference 18

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Observation 65c398a0-fba3-4a47-87fa-09eb056b66d4 · outbound

This paper cites Shaydulin, C.

Quantum-informed surrogate sampling for combinatorial optimization Shaydulin, C

Reference 19

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Observation 9c858c5f-b87d-4eef-a1bd-67d5419eb282 · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 20

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Observation 5621a642-4b37-4a3d-8eb6-2518bc3f6677 · outbound

This paper cites Boulebnane and A.

Quantum-informed surrogate sampling for combinatorial optimization Boulebnane and A

Reference 21

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Observation b6f16748-68bc-4d9f-8d47-145822e4e301 · outbound

This paper cites Applying the quantum approximate optimization algorithm to general constraint satisfaction problems.

Quantum-informed surrogate sampling for combinatorial optimization Applying the quantum approximate optimization algorithm to general constraint satisfaction problems

Reference 22

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Observation 491c4daf-c759-4a8c-9e2a-967ae166d115 · outbound

This paper cites Quantum speedups in solving near-symmetric optimization problems by low-depth QAOA.

Quantum-informed surrogate sampling for combinatorial optimization Quantum speedups in solving near-symmetric optimization problems by low-depth QAOA

Reference 23

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Observation 2eb4eac1-af4e-4853-ae1d-cc05197c4417 · outbound

This paper cites Akshay, D.

Quantum-informed surrogate sampling for combinatorial optimization Akshay, D

Reference 24

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Observation e92f342a-c2a8-4dd6-bf76-564ec4e683f8 · outbound

This paper cites The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case.

Quantum-informed surrogate sampling for combinatorial optimization The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case

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Observation c7e721f5-5b45-4eb9-a045-f08bd61c2918 · outbound

This paper cites Limitations of Local Quantum Algorithms on Random Max-k-XOR and Beyond.

Quantum-informed surrogate sampling for combinatorial optimization Limitations of Local Quantum Algorithms on Random Max-k-XOR and Beyond

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Resolution: verified exact; local_arxiv, observed 2026-08-01T05:03:24.823286Z

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Observation 7b00b3f6-5317-4d67-b80e-dbbdd67a029b · outbound

This paper cites Basso, D.

Quantum-informed surrogate sampling for combinatorial optimization Basso, D

Reference 27

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Observation 517d4228-b1b2-4542-baf8-0b7c9f48f332 · outbound

This paper cites Concentration bounds for quantum states and limitations on the QAOA from polynomial approximations.

Quantum-informed surrogate sampling for combinatorial optimization Concentration bounds for quantum states and limitations on the QAOA from polynomial approximations

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Observation d546cfc3-9d92-4f3b-a5f7-407992a06c1d · outbound

This paper cites The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: Worst Case Examples.

Quantum-informed surrogate sampling for combinatorial optimization The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: Worst Case Examples

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Observation 4b14bf33-b8f6-4a1d-a738-1687f8f395a1 · outbound

This paper cites Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs.

Quantum-informed surrogate sampling for combinatorial optimization Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

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Observation 4e90d629-ab45-4edc-a95c-1bf412ecd9d2 · outbound

This paper cites Limits of local algorithms over sparse random graphs.

Quantum-informed surrogate sampling for combinatorial optimization Limits of local algorithms over sparse random graphs

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Resolution: verified exact; local_arxiv, observed 2026-08-01T05:03:24.543913Z

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Observation 9f9053a3-ebf8-43f8-998d-d48e949be11c · outbound

This paper cites The Overlap Gap Property and Approximate Message Passing Algorithms for $p$-spin models.

Quantum-informed surrogate sampling for combinatorial optimization The Overlap Gap Property and Approximate Message Passing Algorithms for $p$-spin models

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Resolution: verified exact; local_arxiv, observed 2026-08-01T05:03:24.264938Z

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Observation 1e00da0a-e63b-4793-a49a-60d7a2a9c82b · outbound

This paper cites The Overlap Gap Property: a Geometric Barrier to Optimizing over Random Structures.

Quantum-informed surrogate sampling for combinatorial optimization The Overlap Gap Property: a Geometric Barrier to Optimizing over Random Structures

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Observation eb24c00d-778b-41eb-bc1e-a32e39298775 · outbound

This paper cites Limitations of optimization algorithms on noisy quantum devices.

Quantum-informed surrogate sampling for combinatorial optimization Limitations of optimization algorithms on noisy quantum devices

Reference 34

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Observation eda8dfe5-a4da-447c-9d6a-ad8d11b1ffba · outbound

This paper cites Limitations of variational quantum algorithms: a quantum optimal transport approach.

Quantum-informed surrogate sampling for combinatorial optimization Limitations of variational quantum algorithms: a quantum optimal transport approach

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Observation b97534b6-8ce1-4f63-9617-9d4a59c38fdb · outbound

This paper cites Dupont, B.

Quantum-informed surrogate sampling for combinatorial optimization Dupont, B

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Observation a30c9556-b56e-42cd-8c14-38fc50e0a393 · outbound

This paper cites A scalable quantum-enhanced greedy algorithm for maximum independent set problems,.

Quantum-informed surrogate sampling for combinatorial optimization A scalable quantum-enhanced greedy algorithm for maximum independent set problems,

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Observation 66ab8ec9-285f-4093-a37c-d19f9d80cf2b · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 413f8760-3be8-4a5a-9a47-ae306d537995 · outbound

This paper cites Regularized warm-started quantum approximate optimization and conditions for surpassing classical solvers on the max-cut problem,.

Quantum-informed surrogate sampling for combinatorial optimization Regularized warm-started quantum approximate optimization and conditions for surpassing classical solvers on the max-cut problem,

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Observation d599d0a2-b28e-456f-a858-2ed67c938909 · outbound

This paper cites Quantum Supremacy through the Quantum Approximate Optimization Algorithm.

Quantum-informed surrogate sampling for combinatorial optimization Quantum Supremacy through the Quantum Approximate Optimization Algorithm

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Observation 0573fbb4-012b-47ff-a42a-e5b0f15d4ce7 · outbound

This paper cites Lower bounding the maxcut of high girth 3-regular graphs using the qaoa,.

Quantum-informed surrogate sampling for combinatorial optimization Lower bounding the maxcut of high girth 3-regular graphs using the qaoa,

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Observation 923d428f-d874-4bce-9652-1ac07a70a15c · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation a5129714-7e20-4881-86eb-9ef3c139681f · outbound

This paper cites Layden, G.

Quantum-informed surrogate sampling for combinatorial optimization Layden, G

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Observation 38a5b2d0-4115-41b9-8438-6d093b73aeae · outbound

This paper cites QAOA-MC: Markov chain Monte Carlo enhanced by Quantum Alternating Operator Ansatz.

Quantum-informed surrogate sampling for combinatorial optimization QAOA-MC: Markov chain Monte Carlo enhanced by Quantum Alternating Operator Ansatz

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Observation 0cd17284-db17-4f0c-890b-d4fb991eecb0 · outbound

This paper cites Quantum-enhanced markov chain monte carlo for combinatorial optimization,.

Quantum-informed surrogate sampling for combinatorial optimization Quantum-enhanced markov chain monte carlo for combinatorial optimization,

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Observation b11af5c4-f219-41f3-9eb0-ecf7e6dced07 · outbound

This paper cites Divide-and-Conquer Neural Network Surrogates for Quantum Sampling: Accelerating Markov Chain Monte Carlo in Large-Scale Constrained Optimization Problems.

Quantum-informed surrogate sampling for combinatorial optimization Divide-and-Conquer Neural Network Surrogates for Quantum Sampling: Accelerating Markov Chain Monte Carlo in Large-Scale Constrained Optimization Problems

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Observation 4105295d-328b-4df9-968b-ab875fe6c9a5 · outbound

This paper cites Quantum-Enhanced Optimization by Warm Starts.

Quantum-informed surrogate sampling for combinatorial optimization Quantum-Enhanced Optimization by Warm Starts

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Observation 10e15e11-7e17-4001-ac66-a9fa45e324e0 · outbound

This paper cites Obstacles to State Preparation and Variational Optimization from Symmetry Protection.

Quantum-informed surrogate sampling for combinatorial optimization Obstacles to State Preparation and Variational Optimization from Symmetry Protection

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Observation 3fb944e5-cc33-4606-84c7-cc6cab6d06af · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Extending relax-and-round combinatorial optimization solvers with quantum correlations

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Resolution: verified exact; local_arxiv, observed 2026-08-01T05:03:23.972885Z

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 87227738-97d4-4f23-b32e-adf9857823f9 · outbound

This paper cites Martinez, O.

Quantum-informed surrogate sampling for combinatorial optimization Martinez, O

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 9457662e-dede-4bf3-8304-d482ef5f0394 · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 12378d8f-d349-4ca4-8d2b-0c4ef2671e03 · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 0366f6ce-e9f1-472d-a204-5015c03299dd · outbound

This paper cites Chancellor, Quantum Science and Technology4, 045004 (2019).

Quantum-informed surrogate sampling for combinatorial optimization Chancellor, Quantum Science and Technology4, 045004 (2019)

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Observation 8124bcbd-9dc2-42bc-92a4-6475a5a9aef1 · outbound

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Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

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Observation 8d3fb898-54a1-4483-b573-d1840a03458e · outbound

This paper cites Bak´ o, A.

Quantum-informed surrogate sampling for combinatorial optimization Bak´ o, A

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Observation 634e47ca-9fe3-44d0-9620-ebc49189b81e · outbound

This paper cites Sciorilli, L.

Quantum-informed surrogate sampling for combinatorial optimization Sciorilli, L

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Observation afde56e9-58a3-4abe-aa61-ef5cfe74f8f8 · outbound

This paper cites An information-minimal geometry for qubit-efficient optimization,.

Quantum-informed surrogate sampling for combinatorial optimization An information-minimal geometry for qubit-efficient optimization,

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Observation 2e3104af-75a0-42d8-9279-1f464fddb792 · outbound

This paper cites Quantum Computing in the NISQ era and beyond.

Quantum-informed surrogate sampling for combinatorial optimization Quantum Computing in the NISQ era and beyond

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Observation 538d7428-4612-4c8c-9748-802d07bdc3e3 · outbound

This paper cites Lucas, Frontiers in PhysicsV olume 2 - 2014(2014), 10.3389/fphy.2014.00005.

Quantum-informed surrogate sampling for combinatorial optimization Lucas, Frontiers in PhysicsV olume 2 - 2014(2014), 10.3389/fphy.2014.00005

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Observation a1bc5593-5804-4d28-a7d4-da52611e154d · outbound

This paper cites The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model.

Quantum-informed surrogate sampling for combinatorial optimization The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.377768Z

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Observation 06cf0065-6cc7-451f-84c2-539acf14e374 · outbound

This paper cites Regular trees in random regular graphs,.

Quantum-informed surrogate sampling for combinatorial optimization Regular trees in random regular graphs,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.415993Z

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Observation 9dc7a1f3-fbab-438e-a624-36fbb8dd82b9 · outbound

This paper cites Wybo and M.

Quantum-informed surrogate sampling for combinatorial optimization Wybo and M

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.452914Z

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Observation 4407238c-56e1-4065-9366-2fe2ccd49ae8 · outbound

This paper cites Gray, Journal of Open Source Software3, 819 (2018).

Quantum-informed surrogate sampling for combinatorial optimization Gray, Journal of Open Source Software3, 819 (2018)

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.500630Z

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Observation 64e6fdc1-26f8-498a-bd42-ff5c9cc83b45 · outbound

This paper cites Pearl,Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference(Morgan Kaufmann, 1988).

Quantum-informed surrogate sampling for combinatorial optimization Pearl,Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference(Morgan Kaufmann, 1988)

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.541525Z

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Unavailable: canonical work link unavailable.

Observation 1ac376b5-22f8-48e1-bda7-a0e2e9739865 · outbound

This paper cites an unresolved cited work.

Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.598483Z

Source-reported events for the cited work

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Observation 43bf5cb3-98f0-465c-b693-a18f5d95082e · outbound

This paper cites an unresolved cited work.

Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.649312Z

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Unavailable: canonical work link unavailable.

Observation f15c02ed-c129-4527-a933-696c8147dfb0 · outbound

This paper cites an unresolved cited work.

Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.698245Z

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Unavailable: canonical work link unavailable.

Observation e54e3f62-420e-4ff8-9393-6b9180b3035f · outbound

This paper cites Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor.

Quantum-informed surrogate sampling for combinatorial optimization Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.742412Z

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Observation 541a8d4b-12b4-40df-9f38-64947d0dc754 · outbound

This paper cites Temme, S.

Quantum-informed surrogate sampling for combinatorial optimization Temme, S

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.820369Z

Source-reported events for the cited work

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Observation 050584a1-a4e6-4897-b239-e9b4114a7bc1 · outbound

This paper cites Li and S.

Quantum-informed surrogate sampling for combinatorial optimization Li and S

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.867875Z

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Observation ba6268c4-9e62-4360-ba29-47ac0b8113e2 · outbound

This paper cites Halperin, D.

Quantum-informed surrogate sampling for combinatorial optimization Halperin, D

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:01.979810Z

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Unavailable: canonical work link unavailable.

Observation 75a7975e-bc75-4161-aafa-3027e251c1f5 · outbound

This paper cites Kirkpatrick, C.

Quantum-informed surrogate sampling for combinatorial optimization Kirkpatrick, C

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.015130Z

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Unavailable: canonical work link unavailable.

Observation 42dc0b06-cf09-4942-8f59-92ab02cef6b7 · outbound

This paper cites dwave-samplers: Ocean-compatible classical samplers,.

Quantum-informed surrogate sampling for combinatorial optimization dwave-samplers: Ocean-compatible classical samplers,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.060272Z

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Observation 65a0c60e-21d3-472c-872e-322810c1dd05 · outbound

This paper cites Burer, R.

Quantum-informed surrogate sampling for combinatorial optimization Burer, R

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.100782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6982974e-c4cd-45e7-a271-3c59bc53b292 · outbound

This paper cites Dunning, S.

Quantum-informed surrogate sampling for combinatorial optimization Dunning, S

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.135516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71225f54-6b2e-42e0-b576-9139cdcc0276 · outbound

This paper cites Large independent sets on random $d$-regular graphs with fixed degree $d$.

Quantum-informed surrogate sampling for combinatorial optimization Large independent sets on random $d$-regular graphs with fixed degree $d$

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-01T05:03:23.375674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a906cf99-6398-4d40-abe7-c9ab3f7eb5a7 · outbound

This paper cites an unresolved cited work.

Quantum-informed surrogate sampling for combinatorial optimization Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.196117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8016006-75bf-4501-b1b5-71570f8d0da8 · outbound

This paper cites Hukushima and K.

Quantum-informed surrogate sampling for combinatorial optimization Hukushima and K

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.256036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586ee4d9-d0b7-4c55-ac29-6589709edc69 · outbound

This paper cites Parisi, Phys.

Quantum-informed surrogate sampling for combinatorial optimization Parisi, Phys

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T05:02:02.295263Z

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