Performance Model for Hybrid Quantum-Classical Workflows | Paper Citation Record

Observation 0563ca0e-c89c-47ca-8580-02e3c9ff6eec · outbound

This paper cites W., Siegel, A.

Performance Model for Hybrid Quantum-Classical Workflows W., Siegel, A

Reference 1

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Observation eec2a46e-6a26-4e63-88b6-51bf5961b18c · outbound

This paper cites E.et al.Aurora: Archi- tecting argonne’s first exascale supercom- puter for accelerated scientific discovery (2025).

Performance Model for Hybrid Quantum-Classical Workflows E.et al.Aurora: Archi- tecting argonne’s first exascale supercom- puter for accelerated scientific discovery (2025)

Reference 2

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This paper cites D.et al.GPU computing.Pro- ceedings of the IEEE96(5), 879–899 (2008).

Performance Model for Hybrid Quantum-Classical Workflows D.et al.GPU computing.Pro- ceedings of the IEEE96(5), 879–899 (2008)

Reference 3

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Observation a39a9d2c-0443-49ef-80cb-5d39eb67d1cf · outbound

This paper cites & Skadron, K.

Performance Model for Hybrid Quantum-Classical Workflows & Skadron, K

Reference 4

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Observation 7a358ed0-5480-4007-b801-37a6584e4335 · outbound

This paper cites & Vetter, J.

Performance Model for Hybrid Quantum-Classical Workflows & Vetter, J

Reference 5

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Observation 5cd86d57-eb72-4884-8702-fb91441aee45 · outbound

This paper cites URL https://arxiv.

Performance Model for Hybrid Quantum-Classical Workflows URL https://arxiv

Reference 6

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Observation 5121519d-01cd-4ec5-8932-096776a5ac11 · outbound

This paper cites Quantum Cloud Computing: A Review, Open Problems, and Future Directions.

Performance Model for Hybrid Quantum-Classical Workflows Quantum Cloud Computing: A Review, Open Problems, and Future Directions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T23:28:57.536571Z

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Observation 4ca77214-0dc2-4dc2-96e3-fe25b4a90c35 · outbound

This paper cites H., Patti, T.

Performance Model for Hybrid Quantum-Classical Workflows H., Patti, T

Reference 8

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Observation eb3c183e-f741-41e3-b4af-4ae3b185f7b0 · outbound

This paper cites URL https://doi.org/ 10.48550/arXiv.2401.09253.

Performance Model for Hybrid Quantum-Classical Workflows URL https://doi.org/ 10.48550/arXiv.2401.09253

Reference 9

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Observation 1a807fdf-8f81-40df-a9c3-b400b8abfa6d · outbound

This paper cites Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver.

Performance Model for Hybrid Quantum-Classical Workflows Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 10

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Observation e06bed68-834e-4c0f-a44d-0d856b7fbe25 · outbound

This paper cites Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers.

Performance Model for Hybrid Quantum-Classical Workflows Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers

Reference 11

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Observation 522a472b-1af0-428c-b5d9-0a8718458d0b · outbound

This paper cites Future Generation Computer Systems 174, 107980 (2026).

Performance Model for Hybrid Quantum-Classical Workflows Future Generation Computer Systems 174, 107980 (2026)

Reference 12

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Observation da832de9-7cf0-471e-920b-a21c43e0441a · outbound

This paper cites URL https://arxiv.org/abs/2603.

Performance Model for Hybrid Quantum-Classical Workflows URL https://arxiv.org/abs/2603

Reference 13

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Observation 7bb02ca3-298c-4162-927c-cf490d466075 · outbound

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 14

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Observation c4165027-34ae-44f8-83e3-899fdaad22db · outbound

This paper cites Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications.

Performance Model for Hybrid Quantum-Classical Workflows Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications

Reference 15

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Observation 41de7402-99ff-4bce-b5eb-0c12b8870d0d · outbound

This paper cites A., Khazraee, M., Agostini, E.et al.Platform architecture for tight coupling of high-performance com- puting with quantum processors.arXiv preprint(2025).

Performance Model for Hybrid Quantum-Classical Workflows A., Khazraee, M., Agostini, E.et al.Platform architecture for tight coupling of high-performance com- puting with quantum processors.arXiv preprint(2025)

Reference 16

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Observation e4101945-e63e-4e19-a6fd-d0ff7c62ad7a · outbound

This paper cites How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits.

Performance Model for Hybrid Quantum-Classical Workflows How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

Reference 17

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Observation 6b2e7891-48c7-4a91-a01c-841fad2f4903 · outbound

This paper cites A Survey on Integrating Quantum Computers into High Performance Computing Systems.

Performance Model for Hybrid Quantum-Classical Workflows A Survey on Integrating Quantum Computers into High Performance Computing Systems

Reference 18

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Observation a0db1202-3ec1-41fd-b964-15197e200487 · outbound

This paper cites https://doi.org/10.1016/ j.future.2024.06.058.

Performance Model for Hybrid Quantum-Classical Workflows https://doi.org/10.1016/ j.future.2024.06.058

Reference 19

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 20

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Observation bad59c6d-d837-4375-a905-e339d4e1859a · outbound

This paper cites URL https://arxiv.org/abs/2506.10052.

Performance Model for Hybrid Quantum-Classical Workflows URL https://arxiv.org/abs/2506.10052

Reference 21

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Observation d35968f6-004d-49b7-aa79-17b04c8e19e5 · outbound

This paper cites URL http://arxiv.org/abs/ 2512.19653.

Performance Model for Hybrid Quantum-Classical Workflows URL http://arxiv.org/abs/ 2512.19653

Reference 22

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Observation 056dddff-2aee-4b56-872f-52020ad0b75a · outbound

This paper cites URL https://arxiv.org/abs/ 2511.10633.

Performance Model for Hybrid Quantum-Classical Workflows URL https://arxiv.org/abs/ 2511.10633

Reference 23

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This paper cites URL https:// doi.org/10.1145/173284.155333.

Performance Model for Hybrid Quantum-Classical Workflows URL https:// doi.org/10.1145/173284.155333

Reference 24

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Observation 3ae34501-b445-4fae-899f-328e3f70e6b6 · outbound

This paper cites & Patterson, D.

Performance Model for Hybrid Quantum-Classical Workflows & Patterson, D

Reference 25

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Observation 4f4021a9-5262-4e45-badc-150758bdb180 · outbound

This paper cites Quality, Speed, and Scale: three key attributes to measure the performance of near-term quantum computers.

Performance Model for Hybrid Quantum-Classical Workflows Quality, Speed, and Scale: three key attributes to measure the performance of near-term quantum computers

Reference 26

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Observation 5ef31b3f-6b68-42e1-acc4-4b71f12120ec · outbound

This paper cites W., Bishop, L.

Performance Model for Hybrid Quantum-Classical Workflows W., Bishop, L

Reference 27

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Observation b2a6338a-42d4-40ad-85a2-b1c31c2f2723 · outbound

This paper cites Azure quantum resource estimator.

Performance Model for Hybrid Quantum-Classical Workflows Azure quantum resource estimator

Reference 28

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Observation b2da2b10-800c-4af1-aaf4-44623069f6b9 · outbound

This paper cites Expressing and Analyzing Quantum Algorithms with Qualtran.

Performance Model for Hybrid Quantum-Classical Workflows Expressing and Analyzing Quantum Algorithms with Qualtran

Reference 29

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Observation f879d05a-0647-4a0c-bb69-377bda3a6ad8 · outbound

This paper cites & Liu, J.

Performance Model for Hybrid Quantum-Classical Workflows & Liu, J

Reference 30

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 31

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Observation c7f0c0c7-3665-4a78-8943-6bba6e7c8cf2 · outbound

This paper cites & O’Flynn, M.

Performance Model for Hybrid Quantum-Classical Workflows & O’Flynn, M

Reference 32

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 33

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 34

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Observation f087e971-c32d-40f0-ad88-d4c230744e75 · outbound

This paper cites Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers.

Performance Model for Hybrid Quantum-Classical Workflows Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers

Reference 35

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Observation dfbd0cff-cac8-4417-883d-772b0c51fe30 · outbound

This paper cites URL https://www.science.org/doi/abs/10.1126/ sciadv.adu9991.

Performance Model for Hybrid Quantum-Classical Workflows URL https://www.science.org/doi/abs/10.1126/ sciadv.adu9991

Reference 36

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Observation 7a069ace-c3db-48d4-91fb-4f97e38b8060 · outbound

This paper cites URL https://arxiv.org/abs/ 2511.00224.

Performance Model for Hybrid Quantum-Classical Workflows URL https://arxiv.org/abs/ 2511.00224

Reference 37

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Observation 3b5f64cd-1e67-4d22-8686-0f01e4ffdaff · outbound

This paper cites QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits.

Performance Model for Hybrid Quantum-Classical Workflows QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits

Reference 38

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Observation 403c9cd5-606f-49b4-a3e4-7271525cb09c · outbound

This paper cites M., Hohenstein, E.

Performance Model for Hybrid Quantum-Classical Workflows M., Hohenstein, E

Reference 39

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This paper cites URL https://pubs.acs.org/doi/10.1021/acs.

Performance Model for Hybrid Quantum-Classical Workflows URL https://pubs.acs.org/doi/10.1021/acs

Reference 40

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Observation f43e91db-5de0-49be-a5e3-7c0fad341832 · outbound

This paper cites & Izmaylov, A.

Performance Model for Hybrid Quantum-Classical Workflows & Izmaylov, A

Reference 41

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Observation 9ceb6f1f-6f87-4e0d-b20c-3c1fdfa849ca · outbound

This paper cites F.et al.Measurements as a roadblock to near-term practical quantum advantage in chemistry: Resource analysis 4(3), 033154.

Performance Model for Hybrid Quantum-Classical Workflows F.et al.Measurements as a roadblock to near-term practical quantum advantage in chemistry: Resource analysis 4(3), 033154

Reference 42

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Observation 5309207e-e50f-4a95-8d89-a6644f89b381 · outbound

This paper cites & Somma, R.

Performance Model for Hybrid Quantum-Classical Workflows & Somma, R

Reference 43

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Observation f69b8413-d6b0-4821-9c7c-c307ee985525 · outbound

This paper cites V.et al.Quantum-enhanced markov chain monte carlo for combinatorial optimization (2026).

Performance Model for Hybrid Quantum-Classical Workflows V.et al.Quantum-enhanced markov chain monte carlo for combinatorial optimization (2026)

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Observation 25096f2c-c9f6-48fc-8797-c6b7094c7592 · outbound

This paper cites W.et al.A scalable and real- time neural decoder for topological quantum codes (2026).

Performance Model for Hybrid Quantum-Classical Workflows W.et al.A scalable and real- time neural decoder for topological quantum codes (2026)

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Observation 53db4b84-f152-4d37-b99b-6e4644151bd3 · outbound

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 46

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 47

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This paper cites & Chen, J.

Performance Model for Hybrid Quantum-Classical Workflows & Chen, J

Reference 48

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Observation 205d78cc-3406-42ae-a5bf-e1c4184e279a · outbound

This paper cites E., Barnes, K.

Performance Model for Hybrid Quantum-Classical Workflows E., Barnes, K

Reference 49

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Observation 028d30eb-2118-4058-a1cf-1ed364986dae · outbound

This paper cites Low overhead quantum computation using lattice surgery.

Performance Model for Hybrid Quantum-Classical Workflows Low overhead quantum computation using lattice surgery

Reference 50

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Observation 86c92ad5-3e1c-4119-8a13-b96ab789ca01 · outbound

This paper cites Time-optimal quantum computation.

Performance Model for Hybrid Quantum-Classical Workflows Time-optimal quantum computation

Reference 51

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Observation e42787d2-f78e-493a-aebc-a6fb368ba7f7 · outbound

This paper cites How to factor 2048 bit RSA integers with less than a million noisy qubits.

Performance Model for Hybrid Quantum-Classical Workflows How to factor 2048 bit RSA integers with less than a million noisy qubits

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Observation 23a98cb6-7b31-4fb2-8df4-6948d93aa627 · outbound

This paper cites Real-Time Quantum Error Correction System Stack: Architecture, Algorithms, and Engineering Practice.

Performance Model for Hybrid Quantum-Classical Workflows Real-Time Quantum Error Correction System Stack: Architecture, Algorithms, and Engineering Practice

Reference 53

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This paper cites A Game of Surface Codes: Large- Scale Quantum Computing with Lattice Surgery.Quantum3, 128 (2019).

Performance Model for Hybrid Quantum-Classical Workflows A Game of Surface Codes: Large- Scale Quantum Computing with Lattice Surgery.Quantum3, 128 (2019)

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This paper cites Flexible layout of surface code computations using AutoCCZ states.

Performance Model for Hybrid Quantum-Classical Workflows Flexible layout of surface code computations using AutoCCZ states

Reference 55

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This paper cites M., Kubica, A.

Performance Model for Hybrid Quantum-Classical Workflows M., Kubica, A

Reference 56

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Observation a6606294-60f8-400c-a113-69c13fdbb34e · outbound

This paper cites H.et al.Fault-tolerant resource estimate for quantum chemical simulations: Case study on li-ion battery electrolyte molecules.Phys.

Performance Model for Hybrid Quantum-Classical Workflows H.et al.Fault-tolerant resource estimate for quantum chemical simulations: Case study on li-ion battery electrolyte molecules.Phys

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Observation dcaa3fb2-801f-4925-9545-3aa271f79d7e · outbound

This paper cites https://doi.org/10.1016/j.

Performance Model for Hybrid Quantum-Classical Workflows https://doi.org/10.1016/j

Reference 58

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This paper cites https: //doi.org/10.1098/rspa.2012.0686.

Performance Model for Hybrid Quantum-Classical Workflows https: //doi.org/10.1098/rspa.2012.0686

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Observation 84f30646-7aa1-45e4-bf21-3a24a2de815b · outbound

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 60

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Observation 63e59e97-a384-48a4-919f-d9677d5caf5e · outbound

This paper cites Quantum Memory: A Missing Piece in Quantum Computing Units.

Performance Model for Hybrid Quantum-Classical Workflows Quantum Memory: A Missing Piece in Quantum Computing Units

Reference 61

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Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

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Observation 8b7476fa-9a4c-4068-af3c-1d6f77b36fc5 · outbound

This paper cites & Lukin, M.

Performance Model for Hybrid Quantum-Classical Workflows & Lukin, M

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:05.201060Z

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Observation 03c19549-fb46-4efb-bbf0-734d17d55946 · outbound

This paper cites G.et al.Distributed quan- tum computing via adaptive circuit knitting (2026).

Performance Model for Hybrid Quantum-Classical Workflows G.et al.Distributed quan- tum computing via adaptive circuit knitting (2026)

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:05.347235Z

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Observation 2c5a9ff2-6408-4ddf-a992-e5d9ebb4b4ca · outbound

This paper cites & Wendin, G.

Performance Model for Hybrid Quantum-Classical Workflows & Wendin, G

Reference 65

Resolution: malformed identifier; no resolver link, observed 2026-08-01T23:29:05.506870Z

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Observation fe1490a4-dcb7-4f7f-bb46-39b533319da9 · outbound

This paper cites P.et al.Optimization by decoded quantum interferometry646(8086), 831–836.

Performance Model for Hybrid Quantum-Classical Workflows P.et al.Optimization by decoded quantum interferometry646(8086), 831–836

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:05.670044Z

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Observation aa587280-1683-48bb-bc70-f17540c79aca · outbound

This paper cites Quantum Metropolis Sampling via Weak Measurement.

Performance Model for Hybrid Quantum-Classical Workflows Quantum Metropolis Sampling via Weak Measurement

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:05.800066Z

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Observation 57cdb70e-3f50-45a5-b4e0-faa1b30d9321 · outbound

This paper cites & Neumann, N.

Performance Model for Hybrid Quantum-Classical Workflows & Neumann, N

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:05.889445Z

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Observation b14745cc-a2f0-48a3-80d6-62e12bc05dee · outbound

This paper cites URL https://www.

Performance Model for Hybrid Quantum-Classical Workflows URL https://www

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:05.984489Z

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Observation 24cda918-01e6-448d-bcec-cace25584643 · outbound

This paper cites URL https://link.aps.org/doi/10.

Performance Model for Hybrid Quantum-Classical Workflows URL https://link.aps.org/doi/10

Reference 70

Resolution: verified exact; doi, observed 2026-08-01T23:33:33.609411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8fa486ed-ab9f-4777-a279-e636b6ed4619 · outbound

This paper cites Helios: A 98-qubit trapped-ion quantum computer.

Performance Model for Hybrid Quantum-Classical Workflows Helios: A 98-qubit trapped-ion quantum computer

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:06.299124Z

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Observation 2b1dd36a-d6cc-42d6-a6b9-18dff28e10f8 · outbound

This paper cites H.et al.High-fidelity readout of trapped-ion qubits100(20), 200502.

Performance Model for Hybrid Quantum-Classical Workflows H.et al.High-fidelity readout of trapped-ion qubits100(20), 200502

Reference 72

Resolution: verified exact; doi, observed 2026-08-01T23:33:33.258226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a2a99743-96d0-4f96-955e-7593f41c5543 · outbound

This paper cites Quantum computing with atomic qubit arrays: confronting the cost of connectivity.

Performance Model for Hybrid Quantum-Classical Workflows Quantum computing with atomic qubit arrays: confronting the cost of connectivity

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:06.672798Z

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Observation efa434f2-0f5b-4157-8c87-a2b43b26c42a · outbound

This paper cites Nature communications5(1), 4213 (2014).

Performance Model for Hybrid Quantum-Classical Workflows Nature communications5(1), 4213 (2014)

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:06.821168Z

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Observation 53bcaf36-e39a-4828-8853-fb29c63d9ba2 · outbound

This paper cites W., Hassidim, A.

Performance Model for Hybrid Quantum-Classical Workflows W., Hassidim, A

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:06.923421Z

Source-reported events for the cited work

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Observation 465ef0bc-6beb-4de9-aaaf-a2c858a8cf64 · outbound

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

Performance Model for Hybrid Quantum-Classical Workflows Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:06.990637Z

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Observation 3cf39381-00c7-4808-9b7d-e58ee75c2e62 · outbound

This paper cites an unresolved cited work.

Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:07.147547Z

Source-reported events for the cited work

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Observation bdd5d1ab-0dbe-458d-8312-e43bc62a4863 · outbound

This paper cites an unresolved cited work.

Performance Model for Hybrid Quantum-Classical Workflows Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:07.317997Z

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Observation 7c6ae9d9-9c46-4bd2-ba0d-d89237820622 · outbound

This paper cites & Lidar, D.

Performance Model for Hybrid Quantum-Classical Workflows & Lidar, D

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:07.461214Z

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Observation e000c500-76d3-4ad9-9e65-e339145ca070 · outbound

This paper cites Optimizing sparse quantum state preparation with measurement and feedforward.

Performance Model for Hybrid Quantum-Classical Workflows Optimizing sparse quantum state preparation with measurement and feedforward

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:07.666866Z

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Observation ddbd4533-c1ef-4ea8-ba05-a93ae24f6ff9 · outbound

This paper cites URL https://doi.org/10.

Performance Model for Hybrid Quantum-Classical Workflows URL https://doi.org/10

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:07.831478Z

Source-reported events for the cited work

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Observation 5c77eaec-5941-4b19-9ca7-1aaa55d93246 · outbound

This paper cites G., Mariantoni, M., Martinis, J.

Performance Model for Hybrid Quantum-Classical Workflows G., Mariantoni, M., Martinis, J

Reference 82

Resolution: malformed identifier; no resolver link, observed 2026-08-01T23:29:08.023159Z

Source-reported events for the cited work

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Observation 6b7eb16c-9689-44d4-a3a6-fb02b5c84a52 · outbound

This paper cites algorithmic fault-tolerance.

Performance Model for Hybrid Quantum-Classical Workflows algorithmic fault-tolerance

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:08.145207Z

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