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Parametrized-circuit-free quantum regression with variance regularization

As of 23 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2607.02696.

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Outbound references

Observation 602a6440-5bef-444a-82f8-14aab97814de · outbound

This paper cites Schuld, I.

Parametrized-circuit-free quantum regression with variance regularization Schuld, I

Reference 1

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Observation 84c99cac-cb65-4ba8-a416-cc0a3207b240 · outbound

This paper cites Quantum gen- erative adversarial learning.Physical review letters, 121(4):040502, 2018.

Parametrized-circuit-free quantum regression with variance regularization Quantum gen- erative adversarial learning.Physical review letters, 121(4):040502, 2018

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Observation ce6ddea8-8161-449e-bd97-406941532e72 · outbound

This paper cites Schuld and N.

Parametrized-circuit-free quantum regression with variance regularization Schuld and N

Reference 3

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Observation 207b40e9-2663-450a-b8f4-e2240a0e8474 · outbound

This paper cites Biamonte, P.

Parametrized-circuit-free quantum regression with variance regularization Biamonte, P

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This paper cites Preskill.

Parametrized-circuit-free quantum regression with variance regularization Preskill

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Parametrized-circuit-free quantum regression with variance regularization Variational quantum algorithms.Nature Reviews Physics, 3(9):625–644, 2021

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Observation 75a188ed-4513-42ac-9d75-e489fbf917d7 · outbound

This paper cites Schuld and F.

Parametrized-circuit-free quantum regression with variance regularization Schuld and F

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Observation 90823aca-3f05-4f1c-b3aa-caedc52c8d33 · outbound

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Parametrized-circuit-free quantum regression with variance regularization Fisher information in noisy intermediate-scale quantum applications.Quantum, 5:539, 2021

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Observation 59b43e86-1bda-426d-9fc8-f9fd48cb9b45 · outbound

This paper cites The theory of the quantum kernel-based binary classifier.Physics Letters A, 384(21):126422, 2020.

Parametrized-circuit-free quantum regression with variance regularization The theory of the quantum kernel-based binary classifier.Physics Letters A, 384(21):126422, 2020

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Parametrized-circuit-free quantum regression with variance regularization Generalization in quantum machine learning: A quantum information standpoint.PRX Quantum, 2(4):040321, 2021

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Observation b27feb83-858c-467a-aeb7-45b3b5c9ae6d · outbound

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Parametrized-circuit-free quantum regression with variance regularization Prediction by linear regression on a quantum computer

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Observation a3f751cc-6c7e-4909-bbd2-ced3eac5ad38 · outbound

This paper cites A hybrid quantum regression model for the prediction of molecular atomization energies.Machine Learning: Science and Technology, 2(2):025019, 2021.

Parametrized-circuit-free quantum regression with variance regularization A hybrid quantum regression model for the prediction of molecular atomization energies.Machine Learning: Science and Technology, 2(2):025019, 2021

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Observation 0647ed74-c768-4029-bce8-9d6ef7c2c689 · outbound

This paper cites Pa- lyulin, and Konstantin Antipin.

Parametrized-circuit-free quantum regression with variance regularization Pa- lyulin, and Konstantin Antipin

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Parametrized-circuit-free quantum regression with variance regularization Universal variational quantum compu- tation.Physical Review A, 103(3):L030401, 2021

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Parametrized-circuit-free quantum regression with variance regularization Variational Quantum Linear Solver

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Parametrized-circuit-free quantum regression with variance regularization Lubasch, J

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Parametrized-circuit-free quantum regression with variance regularization LaRose, A

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This paper cites Reduction cri- terion of separability and limits for a class of distillation protocols.Phys.

Parametrized-circuit-free quantum regression with variance regularization Reduction cri- terion of separability and limits for a class of distillation protocols.Phys

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This paper cites A matrix realignment method for recognizing entanglement.Quantum Inf.

Parametrized-circuit-free quantum regression with variance regularization A matrix realignment method for recognizing entanglement.Quantum Inf

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Observation 54a5c851-07d8-4725-9b81-bd634e09b534 · outbound

This paper cites Some properties of the computable cross-norm criterion for separability.Phys.

Parametrized-circuit-free quantum regression with variance regularization Some properties of the computable cross-norm criterion for separability.Phys

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Observation 1363a231-8389-48d8-a090-6cc073e4720c · outbound

This paper cites Direct estimations of linear and nonlinear func- tionals of a quantum state.Physical review letters, 88(21):217901, 2002.

Parametrized-circuit-free quantum regression with variance regularization Direct estimations of linear and nonlinear func- tionals of a quantum state.Physical review letters, 88(21):217901, 2002

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Parametrized-circuit-free quantum regression with variance regularization Unresolved cited work

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Observation 0d2c44f1-84bf-4603-8a79-6506e08e5c29 · outbound

This paper cites As we have discussed in Appendix E 2 a, a swap operator S has eigenvalues +1 (symmetric subspace) and−1 (antisymmetric subspace).

Parametrized-circuit-free quantum regression with variance regularization As we have discussed in Appendix E 2 a, a swap operator S has eigenvalues +1 (symmetric subspace) and−1 (antisymmetric subspace)

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Observation 6b75437b-0295-4e3f-a55e-d722650e1b18 · outbound

This paper cites When the permutation operatorP=P A ⊗P B acting on (ρ AB)⊗c is non-Hermitian, the quantity Tr Pρ⊗c AB cannot be measured directly.

Parametrized-circuit-free quantum regression with variance regularization When the permutation operatorP=P A ⊗P B acting on (ρ AB)⊗c is non-Hermitian, the quantity Tr Pρ⊗c AB cannot be measured directly

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Parametrized-circuit-free quantum regression with variance regularization Unresolved cited work

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Observation bc3a1127-1bda-4029-a666-64d0dc5dbea3 · outbound

This paper cites Now we would like to test the performance of our 10 functions against the set of well known functions such as PT-moments, purity check, and linear entropy entanglement.

Parametrized-circuit-free quantum regression with variance regularization Now we would like to test the performance of our 10 functions against the set of well known functions such as PT-moments, purity check, and linear entropy entanglement

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