Pulsed learning for quantum data re-uploading models | Paper Citation Record

Observation daa36ef5-e5b9-42c6-af53-095c87b5bc4a · outbound

This paper cites The spectrum is har- monic, preventing isolation of a two level system.

Pulsed learning for quantum data re-uploading models The spectrum is har- monic, preventing isolation of a two level system

Reference 1

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Observation 8ee2c69a-a114-4ccc-b8f5-c49cf6a87c5f · outbound

This paper cites The qubit-field interaction can be modelled by the Hamiltonian [59] ˆH=− ω0 2 ˆσz −Ω ( eiωdtˆσ+ +e−iωdtˆσ−) =− ω0 2 ˆσz −Ω ( cos(ωdt)ˆσx−sin(ωdt)ˆσy ).

Pulsed learning for quantum data re-uploading models The qubit-field interaction can be modelled by the Hamiltonian [59] ˆH=− ω0 2 ˆσz −Ω ( eiωdtˆσ+ +e−iωdtˆσ−) =− ω0 2 ˆσz −Ω ( cos(ωdt)ˆσx−sin(ωdt)ˆσy )

Reference 2

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Pulsed learning for quantum data re-uploading models Unresolved cited work

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Observation 57cbf840-0366-4a17-a3f8-c77d84a69b89 · outbound

This paper cites A convenient representation of these channels is theoperator- sum representation, also known as the Kraus representation.

Pulsed learning for quantum data re-uploading models A convenient representation of these channels is theoperator- sum representation, also known as the Kraus representation

Reference 5

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Observation d98cd004-90f6-4821-aef8-158c64df4385 · outbound

This paper cites Depolarizing Channel The depolarizing channel represents a stochastic process where the qubit state is replaced by the maximally mixed state with probabilityp.

Pulsed learning for quantum data re-uploading models Depolarizing Channel The depolarizing channel represents a stochastic process where the qubit state is replaced by the maximally mixed state with probabilityp

Reference 6

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Observation 94907bbe-e557-4b55-9bdd-f04fcbdc80f1 · outbound

This paper cites Quantum Computing: Vision and Challenges.

Pulsed learning for quantum data re-uploading models Quantum Computing: Vision and Challenges

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Observation b9b276f3-9047-4650-9315-ba9a1d3a0512 · outbound

This paper cites Biamonte, P.

Pulsed learning for quantum data re-uploading models Biamonte, P

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Observation ab3ab3dd-97a5-483d-a15b-f1673dd0bb68 · outbound

This paper cites Cerezo, G.

Pulsed learning for quantum data re-uploading models Cerezo, G

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Observation afe94aaf-7096-4846-8c31-6f3e07fb01ab · outbound

This paper cites Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers.

Pulsed learning for quantum data re-uploading models Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

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Observation 03f3743c-4d47-45f0-b767-ae6ca7d468f7 · outbound

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Pulsed learning for quantum data re-uploading models Rebentrost, M

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Observation af5476bd-e809-44a6-943b-a9141c3b635c · outbound

This paper cites Lloyd, M.

Pulsed learning for quantum data re-uploading models Lloyd, M

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Observation 69c8a1d2-f4d5-4cd2-bd92-04c45887ebbf · outbound

This paper cites Tang, Dequantizing algorithms to understand quantum ad- vantage in machine learning, Nature Reviews Physics4, 692 (2022).

Pulsed learning for quantum data re-uploading models Tang, Dequantizing algorithms to understand quantum ad- vantage in machine learning, Nature Reviews Physics4, 692 (2022)

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Pulsed learning for quantum data re-uploading models Preskill, Quantum Computing in the NISQ era and beyond, Quantum2, 10.22331/q-2018-08-06-79 (2018)

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Observation c473696e-cd40-42ab-9dd3-901924d8abab · outbound

This paper cites Benedetti, E.

Pulsed learning for quantum data re-uploading models Benedetti, E

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Observation 3da8a29e-2720-4521-b4fd-59c28bba776d · outbound

This paper cites Cerezo, A.

Pulsed learning for quantum data re-uploading models Cerezo, A

Reference 19

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Observation db96808a-714a-4df2-8ae0-b4dc053809fc · outbound

This paper cites Pérez-Salinas, A.

Pulsed learning for quantum data re-uploading models Pérez-Salinas, A

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Observation 7742ba57-d86d-4a00-80b1-86b6366ee881 · outbound

This paper cites Gil-Fuster, J.

Pulsed learning for quantum data re-uploading models Gil-Fuster, J

Reference 23

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Observation 3b6d6b85-3318-4f04-883d-da24858efa21 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

Pulsed learning for quantum data re-uploading models Better than classical? The subtle art of benchmarking quantum machine learning models

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Observation 71d9575a-9b90-49d3-bf09-a1cf507e420b · outbound

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Pulsed learning for quantum data re-uploading models Krantz, M

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Observation ab2634b7-d45e-4f60-a425-25dc1211bb4b · outbound

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Pulsed learning for quantum data re-uploading models Alexander, N

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Pulsed learning for quantum data re-uploading models Unresolved cited work

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Observation b9d81a38-64d5-4086-8ffe-302a28c86063 · outbound

This paper cites On the Role of Controllability in Pulse-based Quantum Machine Learning Models.

Pulsed learning for quantum data re-uploading models On the Role of Controllability in Pulse-based Quantum Machine Learning Models

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Pulsed learning for quantum data re-uploading models Unresolved cited work

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Observation a2861edb-9b65-46cf-bdff-c8a50d0249ae · outbound

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Pulsed learning for quantum data re-uploading models Gate-free state preparation for fast variational quantum eigensolver simulations: ctrl-VQE

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Pulsed learning for quantum data re-uploading models Unresolved cited work

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Observation 163ad951-d967-42f1-b632-ae45c980f7a6 · outbound

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Pulsed learning for quantum data re-uploading models Pulse-based variational quantum optimization and metalearning in superconducting circuits

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Observation 5725afe7-89b1-4d0c-badf-8d9b9e8db0bc · outbound

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Pulsed learning for quantum data re-uploading models Meirom and S

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Observation 72a8eb89-ae45-45e7-8e89-ab15ab66f44a · outbound

This paper cites Variational Quantum Pulse Learning.

Pulsed learning for quantum data re-uploading models Variational Quantum Pulse Learning

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Observation 0170fa6f-2db4-4139-b3a8-fc7503628e9c · outbound

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Pulsed learning for quantum data re-uploading models Towards Advantages of Parameterized Quantum Pulses

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Pulsed learning for quantum data re-uploading models D’Alessandro,Introduction to Quantum Control and Dy- namics, 1st ed

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Pulsed learning for quantum data re-uploading models Acharya and A

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Pulsed learning for quantum data re-uploading models Arute and K

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Pulsed learning for quantum data re-uploading models Corporation, IBM Unveils Breakthrough 127-Qubit Quantum Processor (), accessed on: 2024-12-25

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Pulsed learning for quantum data re-uploading models Magesan and J

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Pulsed learning for quantum data re-uploading models Heya and N

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Pulsed learning for quantum data re-uploading models Leone, S

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Pulsed learning for quantum data re-uploading models Rodriguez-Grasa, Y

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Pulsed learning for quantum data re-uploading models A unifying account of warm start guarantees for patches of quantum landscapes

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Pulsed learning for quantum data re-uploading models Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks

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Pulsed learning for quantum data re-uploading models Earnest, C

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Pulsed learning for quantum data re-uploading models Easom-Mccaldin, A

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Observation 7bf65c1a-0067-4f82-a059-48ac85784676 · outbound

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Pulsed learning for quantum data re-uploading models Gil-Lopez, M

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Observation c0b37c2a-c23f-4da3-a6bd-10841c8a0d5c · outbound

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Pulsed learning for quantum data re-uploading models Corporation, Brisbane Quantum Computer Description (), ac- cessed on: 2024-12-12

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Pulsed learning for quantum data re-uploading models The gradient for each gate is computed dur- ing training, making even a simple QNN computationally in- tensive

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Pulsed learning for quantum data re-uploading models Georgopoulos, C

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Pulsed learning for quantum data re-uploading models Deng, The MNIST Database of Handwritten Digit Images for Machine Learning Research, IEEE Signal Processing Mag- azine29(2012)

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Pulsed learning for quantum data re-uploading models Corporation,Qiskit notebook(2024) Chap

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Pulsed learning for quantum data re-uploading models Magesan and J

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This paper cites Georgopoulos, C.

Pulsed learning for quantum data re-uploading models Georgopoulos, C

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

Observation d07f1f7d-edb8-4cb5-a6ee-e0f4eac8c2d4 · outbound

This paper cites Simulation and Benchmarking of Real Quantum Hardware.

Pulsed learning for quantum data re-uploading models Simulation and Benchmarking of Real Quantum Hardware

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T17:09:04.342207Z

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Observation caa5d01f-6f1e-4fce-83ec-39a3bc6cf455 · outbound

This paper cites an unresolved cited work.

Pulsed learning for quantum data re-uploading models Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T17:09:04.495033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

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Outbound references

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