Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation | Paper Citation Record

Observation 2ab4ded8-9c7d-4d54-a3b1-94f6424c1b7d · outbound

This paper cites Simulating quantum computation by contracting tensor networks.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Simulating quantum computation by contracting tensor networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.529231Z

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 e62df171-1828-461f-a486-3c0bfface493 · outbound

This paper cites A practical introduction to tensor networks: Matrix product states and projected entangled pair states.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A practical introduction to tensor networks: Matrix product states and projected entangled pair states

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.516875Z

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 4d53ca0e-92fc-4dfc-a95f-aa69696aaba9 · outbound

This paper cites Hyper- optimized tensor network contraction.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Hyper- optimized tensor network contraction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.243777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7bb7af6-70c9-4e87-9161-1343650aa65d · outbound

This paper cites Faster identifica- tion of optimal contraction sequences for tensor networks.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Faster identifica- tion of optimal contraction sequences for tensor networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.497323Z

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 617ceddc-b3b8-49f9-970e-47d60aa58e92 · outbound

This paper cites Alineartimealgorithmforminimum fill-in and treewidth for distance hereditary graphs.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Alineartimealgorithmforminimum fill-in and treewidth for distance hereditary graphs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.485315Z

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 4fe910a3-1fc8-4e6a-83ee-849274db9b67 · outbound

This paper cites Community structure in social and biolog- ical networks.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Community structure in social and biolog- ical networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.473470Z

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 ce59a1a5-024a-4263-83fa-889c6add7a90 · outbound

This paper cites Graph bisection with pareto optimization.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Graph bisection with pareto optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.461676Z

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 610bfb0e-343b-4327-80c1-e35825d9c043 · outbound

This paper cites cuQuantum ten- sor network contraction documentation.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation cuQuantum ten- sor network contraction documentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.449949Z

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 002bf9e1-ea4a-47a7-bfc7-24fa7510b5b7 · outbound

This paper cites cuTENSOR user guide.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation cuTENSOR user guide

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.438288Z

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 5b509023-0d6b-4d71-901e-c4591d7edbc8 · outbound

This paper cites Learning to rank for informa- tion retrieval.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Learning to rank for informa- tion retrieval

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.426676Z

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 d37ddccf-1c15-485c-a722-58684b52bea3 · outbound

This paper cites Learning to rank quantum circuits for hardware-optimized performance enhancement.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Learning to rank quantum circuits for hardware-optimized performance enhancement

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.279153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838056f8-5f79-4c19-87a2-4e5caaa91465 · outbound

This paper cites XG- Boost: A scalable tree boosting system.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation XG- Boost: A scalable tree boosting system

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.403480Z

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 fcb3119c-d144-47c7-8007-14a0777046b9 · outbound

This paper cites Machine learning with quantum comput- ers.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Machine learning with quantum comput- ers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.380205Z

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 2fd14344-4b30-4a18-b66e-6de0e55c009a · outbound

This paper cites A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.294551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f247988f-7945-45ec-a23c-bb5885226cd2 · outbound

This paper cites Learning high-accuracy error decod- ing for quantum processors.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Learning high-accuracy error decod- ing for quantum processors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.368468Z

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 9199e7ba-dbbb-47b2-957d-a7c15f3b5b4f · outbound

This paper cites Support vector machines for 19 quantum state tomography.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Support vector machines for 19 quantum state tomography

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.356838Z

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 5bca055e-7179-4c7a-b499-b3567ab501f5 · outbound

This paper cites Support vector machine classification of topological phase transitions.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Support vector machine classification of topological phase transitions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.345159Z

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 48e46575-8d23-499a-9a81-3802642890f1 · outbound

This paper cites Predicting Good Quantum Circuit Compilation Options.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Predicting Good Quantum Circuit Compilation Options

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.309381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289bac75-e207-4ec7-8a78-a32bb1418574 · outbound

This paper cites Neural-network quantum state tomogra- phy.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Neural-network quantum state tomogra- phy

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.333485Z

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 e3b37cce-9b70-46b3-8241-7e0cd00fe032 · outbound

This paper cites Learning to learn with quantum neural networks via classical neural networks.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Learning to learn with quantum neural networks via classical neural networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.317099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4a8fec-34a6-4c1d-9f07-551eb760fa1b · outbound

This paper cites Methods, applications, and directions of learning-to- rank in NLP research.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Methods, applications, and directions of learning-to- rank in NLP research

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.322053Z

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 7b55daae-d19f-4371-8733-5a3e7a8c6a7a · outbound

This paper cites A Survey on E-Commerce Learning to Rank.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A Survey on E-Commerce Learning to Rank

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:59:01.861489Z

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 300b6514-4111-4d3d-bc4e-848e7d0f684e · outbound

This paper cites Unified learning-to-rank for multi-channel retrieval in large-scale e-commerce search.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Unified learning-to-rank for multi-channel retrieval in large-scale e-commerce search

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-08-07T22:59:01.842545Z

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 38540afb-fb1b-4d24-94dd-e0dc44f133f0 · outbound

This paper cites Efficient and effec- tive tree-based and neural learning to rank.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Efficient and effec- tive tree-based and neural learning to rank

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.310695Z

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 cf937d4a-c2de-49d9-ba42-708f763e0da7 · outbound

This paper cites Re- cent advances in the foundations and appli- cations of unbiased learning to rank.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Re- cent advances in the foundations and appli- cations of unbiased learning to rank

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.299100Z

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 03ebc35c-971d-495f-bd05-bc8fc612ceb5 · outbound

This paper cites A literature review on methods for learning to rank.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A literature review on methods for learning to rank

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.287223Z

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 bb5dabfa-a636-4202-b510-104a31cfc650 · outbound

This paper cites Empowering quantum serverless circuit de- ployment optimization via graph contrastive learning and learning-to-rank co-designed approaches.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Empowering quantum serverless circuit de- ployment optimization via graph contrastive learning and learning-to-rank co-designed approaches

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.275415Z

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 67679be2-7f7a-4323-a74d-aa58080d08b0 · outbound

This paper cites Efficient quantum cir- cuit contraction using tensor decision dia- grams.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Efficient quantum cir- cuit contraction using tensor decision dia- grams

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.251855Z

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 b59577a5-0969-459d-8d31-077388e32cab · outbound

This paper cites Parameterization of ten- sor network contraction.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Parameterization of ten- sor network contraction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.240209Z

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 128b8abb-3524-4e6d-83a1-142a547eb7fa · outbound

This paper cites Design of a high-performance GEMM-like tensor- tensor multiplication.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Design of a high-performance GEMM-like tensor- tensor multiplication

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.228792Z

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 0a1a04b5-4706-4ef5-827d-ff8f533466ba · outbound

This paper cites High-performance tensor contraction without transposition.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation High-performance tensor contraction without transposition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.217333Z

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 5cf1c992-0222-42a6-888c-88943c4679cf · outbound

This paper cites A flexible high-performance simulator for ver- ifying and benchmarking quantum circuits implemented on real hardware.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A flexible high-performance simulator for ver- ifying and benchmarking quantum circuits implemented on real hardware

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.205720Z

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 ec2a503d-ece8-48e9-824a-e3f1bab12e59 · outbound

This paper cites Benchmarking treewidth as a practical component of tensor network simulations.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Benchmarking treewidth as a practical component of tensor network simulations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.193954Z

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 04e0f1d2-be6d-40c3-abe7-4cad342ac1a2 · outbound

This paper cites Computing Tree Decompositions with FlowCutter: PACE 2017 Submission.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Computing Tree Decompositions with FlowCutter: PACE 2017 Submission

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.378107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b053c870-2ff5-4a3b-979f-65faad23fd9d · outbound

This paper cites Finding and evaluating community struc- ture in networks.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Finding and evaluating community struc- ture in networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.182027Z

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 fbba46d8-cfb9-464b-b950-3fd13241fd74 · outbound

This paper cites Learning to rank us- ing gradient descent.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Learning to rank us- ing gradient descent

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.170469Z

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 e0fc2ab3-2ad9-4b1d-b121-38094c8f9894 · outbound

This paper cites From RankNet to LambdaRank to LambdaMART: An overview.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation From RankNet to LambdaRank to LambdaMART: An overview

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.159053Z

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 fe434c19-52f8-4411-9575-11a232e8d811 · outbound

This paper cites Minimal triangulations of graphs: A survey.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Minimal triangulations of graphs: A survey

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.136029Z

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 9d11cc21-35c9-4eea-b045-355063ec2e69 · outbound

This paper cites An introduction to chordal graphs and clique trees.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation An introduction to chordal graphs and clique trees

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.124399Z

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 561f7cb6-7076-4e57-baee-31df1ac7053f · outbound

This paper cites MQT Bench: Benchmark- ing software and design automation tools for quantum computing.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation MQT Bench: Benchmark- ing software and design automation tools for quantum computing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.102735Z

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 5b95eb3b-ff8d-43c9-af79-eee936fbc30d · outbound

This paper cites The PACE 2017 Parameterized Algorithms and Computational Experiments Challenge: The Second Iteration.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation The PACE 2017 Parameterized Algorithms and Computational Experiments Challenge: The Second Iteration

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.088872Z

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 2bb7af2b-e8ba-419c-b31e-ff323f3de139 · outbound

This paper cites Intro- duction to machine learning with python: A guide for data scientists.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Intro- duction to machine learning with python: A guide for data scientists

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.070814Z

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 21b84b70-9f16-41ab-8565-9c71ec83e80b · outbound

This paper cites Accelerating the XGBoost algo- rithm using GPU computing.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Accelerating the XGBoost algo- rithm using GPU computing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.059105Z

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 76447a59-6b91-44e8-87d6-7f3b3f20e3a1 · outbound

This paper cites Feature Interactions in XGBoost.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Feature Interactions in XGBoost

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:59:01.646572Z

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 4a4515f9-c988-444c-8309-45fb4afb4676 · outbound

This paper cites A uni- fied approach to interpreting model predic- tions.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A uni- fied approach to interpreting model predic- tions

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.047358Z

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 84cc5dc1-4094-4f6b-b7f1-3feebd59dd3d · outbound

This paper cites QXTools: A Julia framework for distributed quantum circuit simula- tion.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation QXTools: A Julia framework for distributed quantum circuit simula- tion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.035104Z

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 87f64feb-1895-4411-bcf8-f6e750d7de71 · outbound

This paper cites XG- Boost.jl: Julia interface to XGBoost.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation XG- Boost.jl: Julia interface to XGBoost

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.022644Z

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 99c04075-7ee8-4cc7-9371-f8120eefca21 · outbound

This paper cites Rankcor- relation methods.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Rankcor- relation methods

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-07T22:59:01.628942Z

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 ccdbe28a-2259-4558-b6f5-2389635bf924 · outbound

This paper cites Efficient parallelization of tensor network contraction for simulating quantum computation.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Efficient parallelization of tensor network contraction for simulating quantum computation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:02.009552Z

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 043777c1-3339-4f86-b417-293a9a4206e4 · outbound

This paper cites Jet: Fast quan- tum circuit simulations with parallel task- based tensor-network contraction.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Jet: Fast quan- tum circuit simulations with parallel task- based tensor-network contraction

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.997053Z

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 99ec9827-f9d2-4006-a9e1-0c52ce21edd2 · outbound

This paper cites Efficient quantum cir- 21 cuit simulation by tensor network methods on modern GPUs.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Efficient quantum cir- 21 cuit simulation by tensor network methods on modern GPUs

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.984519Z

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 e10dcc3a-2eb5-405a-9722-770e72b39e43 · outbound

This paper cites Parallel tensor network con- traction for efficient quantum circuit simu- lation on multicore CPUs and GPUs.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Parallel tensor network con- traction for efficient quantum circuit simu- lation on multicore CPUs and GPUs

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.970936Z

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 48209678-0267-4ff8-a9e0-a2ed36a11d7e · outbound

This paper cites A community detection-based parallel algorithm for quantum circuit simu- lation using tensor networks.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation A community detection-based parallel algorithm for quantum circuit simu- lation using tensor networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.958736Z

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 40623e44-9e5e-40e3-8ff2-d46f18b295ea · outbound

This paper cites Tensor networks for quan- tum computing.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Tensor networks for quan- tum computing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.946578Z

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 790bb182-5e27-4870-989f-aea4f3e0b857 · outbound

This paper cites Roofline: An insightful visual performance model for multicore ar- chitectures.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Roofline: An insightful visual performance model for multicore ar- chitectures

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.933842Z

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 a38fe7f5-f136-494d-b817-6180a06475c9 · outbound

This paper cites TensorOpera- tions.jl documentation.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation TensorOpera- tions.jl documentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:59:01.921539Z

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 66cb2502-ea0e-422e-802c-ffd1d88b0947 · outbound

This paper cites an unresolved cited work.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:59:02.147426Z

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 8e476f67-324f-438a-a252-03cb672fea4f · outbound

This paper cites an unresolved cited work.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Unresolved cited work

Reference 331

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T22:59:02.415029Z

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 aed49c21-0595-4d54-8dea-1415c28711fc · outbound

This paper cites an unresolved cited work.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Unresolved cited work

Reference 794

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:59:02.391643Z

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 6c55b003-5c58-486d-889b-1aa585a4484e · outbound

This paper cites Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

Reference 3443

Resolution: unresolved; no resolver link, observed 2026-08-07T22:59:01.340072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974360fb-c91b-4137-a9f2-e0ac291197df · outbound

This paper cites an unresolved cited work.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Unresolved cited work

Reference 9258

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:59:02.263227Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers