Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning | Paper Citation Record

Observation 9db32a4e-2366-4d0d-bdff-d5d4824f4e22 · outbound

This paper cites The traveling-salesman problem.Operations research, 4(1):61–75, 1956.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning The traveling-salesman problem.Operations research, 4(1):61–75, 1956

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This paper cites Princeton university press, 2006.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Princeton university press, 2006

Reference 2

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This paper cites Princeton university press, 2015.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Princeton university press, 2015

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This paper cites Computers and intractability: a guide to the theory of np-completeness (michael r.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Computers and intractability: a guide to the theory of np-completeness (michael r

Reference 4

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This paper cites Polynomial time approximation schemes for euclidean traveling salesman and other geometric problems.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Polynomial time approximation schemes for euclidean traveling salesman and other geometric problems

Reference 5

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This paper cites Reinforcement learning for combinatorial optimization: A survey.Computers & Operations Research, 134:105400, 2021.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Reinforcement learning for combinatorial optimization: A survey.Computers & Operations Research, 134:105400, 2021

Reference 6

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This paper cites Ant-q: A reinforcement learning approach to the traveling salesman problem.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Ant-q: A reinforcement learning approach to the traveling salesman problem

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This paper cites Combining reinforcement learning with lin-kernighan-helsgaun algorithm for the traveling salesman problem.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Combining reinforcement learning with lin-kernighan-helsgaun algorithm for the traveling salesman problem

Reference 8

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This paper cites Hybrid learning and optimization methods for solving capacitated vehicle routing problem.arXiv preprint arXiv:2509.15262, 2025.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Hybrid learning and optimization methods for solving capacitated vehicle routing problem.arXiv preprint arXiv:2509.15262, 2025

Reference 9

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Unresolved cited work

Reference 10

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This paper cites Robustness of quantum reinforcement learning under hardware errors.EPJ Quantum Technology, 10(1):1–43, 2023.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Robustness of quantum reinforcement learning under hardware errors.EPJ Quantum Technology, 10(1):1–43, 2023

Reference 11

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This paper cites Equivariant quantum circuits for learning on weighted graphs.npj Quantum Information, 9(1):47, 2023.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Equivariant quantum circuits for learning on weighted graphs.npj Quantum Information, 9(1):47, 2023

Reference 12

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This paper cites Improving Generalization of Deep Reinforcement Learning-based TSP Solvers.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Improving Generalization of Deep Reinforcement Learning-based TSP Solvers

Reference 13

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This paper cites Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Reference 14

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This paper cites Lotshaw, Jeffrey Larson, James Ostrowski, and Travis S.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Lotshaw, Jeffrey Larson, James Ostrowski, and Travis S

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This paper cites Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, and Patrick J.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, and Patrick J

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This paper cites Theoretical guarantees for permutation-equivariant quantum neural networks.npj Quantum Information, 10(1):12, 2024.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Theoretical guarantees for permutation-equivariant quantum neural networks.npj Quantum Information, 10(1):12, 2024

Reference 18

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This paper cites Generalization in quantum machine learning: A quantum information standpoint.PRX Quantum, 2(4):040321, 2021.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Generalization in quantum machine learning: A quantum information standpoint.PRX Quantum, 2(4):040321, 2021

Reference 19

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This paper cites Understanding quantum machine learning also requires rethinking generalization.Nature Communications, 15(1):2277, 2024.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Understanding quantum machine learning also requires rethinking generalization.Nature Communications, 15(1):2277, 2024

Reference 20

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This paper cites Generalization in deep rl for tsp problems via equivariance and local search.SN Computer Science, 5(4):369, 2024.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Generalization in deep rl for tsp problems via equivariance and local search.SN Computer Science, 5(4):369, 2024

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This paper cites The traveling salesman problem: a case study.Local search in combinatorial optimization, pages 215–310, 1997.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning The traveling salesman problem: a case study.Local search in combinatorial optimization, pages 215–310, 1997

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Observation 2f5cb24d-f565-40d7-b54b-0631c8f5726a · outbound

This paper cites Worst-case analysis of a new heuristic for the travelling salesman problem.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Worst-case analysis of a new heuristic for the travelling salesman problem

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Observation 4a22da77-c816-45b3-9d04-8d3730284642 · outbound

This paper cites A generalized insertion heuristic for the traveling salesman problem with time windows.Operations Research, 46(3):330–335, 1998.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning A generalized insertion heuristic for the traveling salesman problem with time windows.Operations Research, 46(3):330–335, 1998

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Observation 8eb67084-a347-4977-a897-cf996ca9ad18 · outbound

This paper cites An effective heuristic algorithm for the traveling-salesman problem.Operations research, 21(2):498–516, 1973.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning An effective heuristic algorithm for the traveling-salesman problem.Operations research, 21(2):498–516, 1973

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This paper cites Joshi, Quentin Cappart, Louis-Martin Rousseau, and Thomas Laurent.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Joshi, Quentin Cappart, Louis-Martin Rousseau, and Thomas Laurent

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Observation bfadfa8d-ad96-402f-ba75-5f0d1cf538cf · outbound

This paper cites Learning-Based TSP-Solvers Tend to Be Overly Greedy.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Learning-Based TSP-Solvers Tend to Be Overly Greedy

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This paper cites The shortest path through many points.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning The shortest path through many points

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Observation d4895273-84b3-4fe4-9c9b-43690b4edfb2 · outbound

This paper cites Polynomial time approximation schemes for euclidean traveling salesman and other geometric problems.Journal of the ACM (JACM), 45(5):753–782, 1998.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Polynomial time approximation schemes for euclidean traveling salesman and other geometric problems.Journal of the ACM (JACM), 45(5):753–782, 1998

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Observation 7e61f86c-22fd-4e63-afab-795458469a81 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.Nature communications, 9(1):4812, 2018.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Barren plateaus in quantum neural network training landscapes.Nature communications, 9(1):4812, 2018

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Effect of barren plateaus on gradient-free optimization.Quantum, 5:558, 2021

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Observation 53230fb2-738a-4288-ae86-84ec78e84e11 · outbound

This paper cites Generalization despite overfitting in quantum machine learning models.Quantum, 7:1210, 2023.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Generalization despite overfitting in quantum machine learning models.Quantum, 7:1210, 2023

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This paper cites The power of quantum neural networks.Nature Computational Science, 1(6):403–409, 2021.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning The power of quantum neural networks.Nature Computational Science, 1(6):403–409, 2021

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Observation d0463124-505d-4eb2-b874-8583ddd8c6f5 · outbound

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Equivariant Quantum Graph Circuits

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This paper cites For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances

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This paper cites Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning

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This paper cites On the theory of transfer learning: The importance of task diversity.Advances in neural information processing systems, 33:7852–7862, 2020.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning On the theory of transfer learning: The importance of task diversity.Advances in neural information processing systems, 33:7852–7862, 2020

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This paper cites Stability bounds for stationary φ-mixing and β-mixing processes.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Stability bounds for stationary φ-mixing and β-mixing processes

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This paper cites Generalization bounds for mixing processes via delayed online-to-PAC conversions.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Generalization bounds for mixing processes via delayed online-to-PAC conversions

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This paper cites Cost function dependent barren plateaus in shallow parametrized quantum circuits.Nature communications, 12(1):1791, 2021.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Cost function dependent barren plateaus in shallow parametrized quantum circuits.Nature communications, 12(1):1791, 2021

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This paper cites Connecting ansatz expressibility to gradient magnitudes and barren plateaus.PRX quantum, 3(1):010313, 2022.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Connecting ansatz expressibility to gradient magnitudes and barren plateaus.PRX quantum, 3(1):010313, 2022

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning SIAM, 1997

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Observation 102ec3dc-81a2-4b73-a7b6-fbd305e6f957 · outbound

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Subadditive euclidean functionals and nonlinear growth in geometric probability.The Annals of Probability, pages 365–376, 1981

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Observation d2f143c0-4a61-47e2-8f2e-7607352a16e8 · outbound

This paper cites Concentration of measure and isoperimetric inequalities in product spaces.Publications Mathématiques de l’Institut des Hautes Etudes Scientifiques, 81:73–205, 1995.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Concentration of measure and isoperimetric inequalities in product spaces.Publications Mathématiques de l’Institut des Hautes Etudes Scientifiques, 81:73–205, 1995

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Observation cb154d80-4ba3-422b-b35a-f6c5583f6e36 · outbound

This paper cites Gradients and frequency profiles of quantum re-uploading models.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Gradients and frequency profiles of quantum re-uploading models

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Observation b1561bf9-d03d-412a-97ca-733b4f93a709 · outbound

This paper cites Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Lipschitz continuity in model-based reinforcement learning

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This paper cites Cambridge university press, 2018.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Cambridge university press, 2018

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Resource frugal optimizer for quantum machine learning.Quantum Science and Technology, 8(4):045019, 2023

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Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Training robust and generalizable quantum models.Physical Review Research, 6(4):043326, 2024

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This paper cites Learning quantum many-body systems from a few copies.Quantum, 8: 1319, 2024.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Learning quantum many-body systems from a few copies.Quantum, 8: 1319, 2024

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This paper cites New bounds for the traveling salesman constant.Advances in Applied Probability, 47(1): 27–36, 2015.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning New bounds for the traveling salesman constant.Advances in Applied Probability, 47(1): 27–36, 2015

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This paper cites An Sn- equivariant unitaryU(θ)can be decomposed into a block-diagonal form U(θ) ∼= M λ Imλ ⊗U λ(θ).

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning An Sn- equivariant unitaryU(θ)can be decomposed into a block-diagonal form U(θ) ∼= M λ Imλ ⊗U λ(θ)

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Observation 7aae823a-b353-49b5-a6d1-6338c7ef4490 · outbound

This paper cites The sum P λ d2 λ is precisely the Tetrahedral number Ten+1.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning The sum P λ d2 λ is precisely the Tetrahedral number Ten+1

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.366443Z

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Unavailable: canonical work link unavailable.

Observation 52a6f7cd-541b-4e83-b128-54f0b385a0b0 · outbound

This paper cites dissimilarity.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning dissimilarity

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.435321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54faa9c3-5262-4a12-b9aa-8a9f555fd8e5 · outbound

This paper cites This fundamentally alters the problem: • The search space of possible tours grows factorially (from(n−1)!/2to(m−1)!/2).

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning This fundamentally alters the problem: • The search space of possible tours grows factorially (from(n−1)!/2to(m−1)!/2)

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.558692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64ee719-86c1-440f-a9f8-4787e6e578e1 · outbound

This paper cites an unresolved cited work.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.652102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8257e9-f4d1-4ca8-ad43-b386ef022dcb · outbound

This paper cites Sim-to-Real Gap.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Sim-to-Real Gap

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.716672Z

Source-reported events for the cited work

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Observation 5289dfc3-3a13-422d-bec5-5218e090384f · outbound

This paper cites A maximum allowable bond dimensionχ max is set to control the accuracy–efficiency trade-off.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning A maximum allowable bond dimensionχ max is set to control the accuracy–efficiency trade-off

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.824582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3995b1-9bb6-4b80-b46f-fbed0c31c835 · outbound

This paper cites an unresolved cited work.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.913254Z

Source-reported events for the cited work

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Observation 494f08b1-34ab-4263-9c20-8d5db0eb0302 · outbound

This paper cites The state is truncated back to χmax using Singular Value Decomposition (SVD), discarding small singular values and introducing a controlled approximation error.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning The state is truncated back to χmax using Singular Value Decomposition (SVD), discarding small singular values and introducing a controlled approximation error

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:19.972146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989baf10-3d99-4ba6-9900-aa57dc044454 · outbound

This paper cites an unresolved cited work.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Unresolved cited work

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:13.024148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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