Paper Citation Record · LEDGER

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

As of 10 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 16 inbound Pith citation observations for arXiv:2502.01146.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.01146 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:30:39.896184Z

measured 116 of 116 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:29.008522Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 299 outbound references displayed

verified exact1
verified fuzzy0
unresolved99
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6af41236-a535-45ce-854c-456905c9d5e4 · outbound

This paper cites Quantum mechanical computers.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum mechanical computers

Reference 1

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Observation b4a973a0-c4d0-4377-beab-f6e0911b758e · outbound

This paper cites Quantum Computational Complexity.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum Computational Complexity

Reference 2

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Observation 22f7cfe7-bb72-4d0b-8aa1-966b8a833a14 · outbound

This paper cites Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.615074Z

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Observation b00b7f3b-d35f-4b7c-9108-51a1076417a6 · outbound

This paper cites How to factor 2048 bit rsa integers in 8 hours using 20 million noisy qubits.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers How to factor 2048 bit rsa integers in 8 hours using 20 million noisy qubits

Reference 4

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Observation 19649e75-9f5d-4747-8933-58dedb219c8d · outbound

This paper cites Quantum machine learning.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum machine learning

Reference 5

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Observation 47c2be92-a0a3-4012-87b8-8f46be241fc5 · outbound

This paper cites Scaling Laws for Neural Language Models.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Scaling Laws for Neural Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.624377Z

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Observation 5b94e2ea-83d0-4bd6-9888-a6fb8162ca0a · outbound

This paper cites Quantum mechanical hamiltonian models of turing machines.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum mechanical hamiltonian models of turing machines

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.627796Z

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Observation 8a955294-0156-4990-8483-50c54c8869ad · outbound

This paper cites Nielsen and Isaac L.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Nielsen and Isaac L

Reference 8

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Observation e2e365a9-0244-4a32-b065-67ccaf8c33bd · outbound

This paper cites A one-way quantum computer.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers A one-way quantum computer

Reference 9

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Observation e8b93d88-ef24-4e07-9384-83d8b15c6183 · outbound

This paper cites Adiabatic quantum computation.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Adiabatic quantum computation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.636316Z

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Observation 8ee851b3-35c4-4b42-a7cb-3e8d31904015 · outbound

This paper cites Fault-tolerant quantum computation by anyons.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Fault-tolerant quantum computation by anyons

Reference 11

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Observation c372246a-8be5-4b80-831e-f97c653d9b29 · outbound

This paper cites A fast quantum mechanical algorithm for database search.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers A fast quantum mechanical algorithm for database search

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.641928Z

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Observation ade816b4-fd25-4f42-a292-9a4e26dd4fb7 · outbound

This paper cites Quantum computing for finance.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum computing for finance

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.644616Z

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Observation 83e72582-ed6c-4103-91d3-91e0c6e6affc · outbound

This paper cites Drug design on quantum computers.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Drug design on quantum computers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.647526Z

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Observation cba3ea69-e059-4c40-a100-2187b5c606d5 · outbound

This paper cites Challenges and opportunities in quantum optimization.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Challenges and opportunities in quantum optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.650304Z

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Observation 688ecaae-5dd2-4684-a1d0-07a9881a8828 · outbound

This paper cites Validating quantum computers using randomized model circuits.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Validating quantum computers using randomized model circuits

Reference 16

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Observation 7427c9af-fd84-4752-ab53-6c268166590c · outbound

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

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quality, Speed, and Scale: three key attributes to measure the performance of near-term quantum computers

Reference 17

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Observation a258142a-9fc3-407c-b208-e449b079ee3d · outbound

This paper cites Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments

Reference 18

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Observation 1bbe0b41-518d-4fcd-9c9b-9a46aca14ace · outbound

This paper cites Guest column: A survey of quantum learning theory.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Guest column: A survey of quantum learning theory

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.662027Z

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Observation 16ab25aa-c35e-4237-b9d2-1f3d97e2fe9b · outbound

This paper cites A survey on the complexity of learning quantum states.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers A survey on the complexity of learning quantum states

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.664857Z

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Observation 8745de10-86dc-4273-816c-3f25118f7c77 · outbound

This paper cites Quantum computational supremacy.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum computational supremacy

Reference 21

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Observation 5c024cd2-a567-476a-96a5-833ce92fc95f · outbound

This paper cites Evidence for the utility of quantum computing before fault tolerance.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Evidence for the utility of quantum computing before fault tolerance

Reference 22

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Observation 068d5cf9-b7c4-4bcf-a858-e29f6b151e43 · outbound

This paper cites An introduction to quantum machine learning.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers An introduction to quantum machine learning

Reference 23

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Observation 987e366a-d3bb-487d-9814-92d21d38aeeb · outbound

This paper cites Machine learning & artificial intelligence in the quantum domain: a review of recent progress.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Reference 24

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Observation 422d0f09-995a-4022-a189-9176d36acbfa · outbound

This paper cites Machine learning and the physical sciences.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Machine learning and the physical sciences

Reference 25

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Observation c1f41604-baf4-4d66-a875-79356706d763 · outbound

This paper cites Noisy intermediate-scale quantum computers.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Noisy intermediate-scale quantum computers

Reference 26

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Observation 23148559-c019-4e0b-825d-bb01330beb58 · outbound

This paper cites Superconducting quantum computing: a review.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Superconducting quantum computing: a review

Reference 27

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Observation 7d4b0ab6-ff7a-40c2-973b-3ba320b1b28e · outbound

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Trapped-ion quantum computing: Progress and challenges

Reference 28

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Observation 3117b0ce-07ae-466b-af60-ff4f70b197fa · outbound

This paper cites Quantum simulation and computing with rydberg-interacting qubits.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum simulation and computing with rydberg-interacting qubits

Reference 29

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum computing in the nisq era and beyond

Reference 30

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum supremacy using a programmable superconducting processor

Reference 31

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Strong quantum computational advantage using a superconducting quantum processor

Reference 32

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This paper cites Quantum algorithm for linear systems of equations.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum algorithm for linear systems of equations

Reference 33

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This paper cites Quantum algorithms: an overview.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum algorithms: an overview

Reference 34

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This paper cites Quantum algorithms: A survey of applications and end-to-end complexities.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum algorithms: A survey of applications and end-to-end complexities

Reference 35

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This paper cites Quantum principal component analysis.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum principal component analysis

Reference 36

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum support vector machine for big data classification

Reference 37

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This paper cites Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

Reference 38

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Observation 2c4aa68a-61d3-4b13-9dba-33923c60d279 · outbound

This paper cites Quantum Langevin Dynamics for Optimization.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum Langevin Dynamics for Optimization

Reference 39

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This paper cites Towards provably efficient quantum algorithms for large-scale machine-learning models.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Towards provably efficient quantum algorithms for large-scale machine-learning models

Reference 40

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This paper cites Read the fine print.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Read the fine print

Reference 41

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum random access memory

Reference 42

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This paper cites Supervised learning with quantum-enhanced feature spaces.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Supervised learning with quantum-enhanced feature spaces

Reference 43

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Variational quantum algorithms

Reference 44

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This paper cites Recent advances for quantum classifiers.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Recent advances for quantum classifiers

Reference 45

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Recent advances for quantum neural networks in generative learning

Reference 46

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Noisy intermediate-scale quantum algorithms

Reference 47

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Challenges and opportunities in quantum machine learning

Reference 48

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum circuit architecture search for variational quantum algorithms

Reference 49

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum natural gradient

Reference 50

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Adaptive pruning-based optimization of parameterized quantum circuits

Reference 51

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Symmetric pruning in quantum neural networks

Reference 52

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum adversarial machine learning

Reference 53

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum continual learning overcoming catastrophic forgetting

Reference 54

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum noise protects quantum classifiers against adversaries

Reference 55

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Watkins, Samuel Yen-Chi Chen, and Shinjae Yoo

Reference 56

Resolution: verified exact; doi, observed 2026-08-09T16:30:40.621645Z

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers A distributed learning scheme for variational quantum algorithms

Reference 57

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Towards Quantum Federated Learning

Reference 58

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers On the interpretability of quantum neural networks

Reference 59

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Statistical complexity of quantum learning

Reference 60

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This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 61

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum computing with Qiskit

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Cirq, May 2024

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers TensorFlow Quantum: A Software Framework for Quantum Machine Learning

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers On the role of entanglement in quantum-computational speed-up

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Going beyond bell’s theorem

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Digital principles and Applications

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers The Solovay-Kitaev algorithm

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers From classical to quantum shannon theory

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Efficient estimation of pauli channels

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Lecture notes for physics 219: Quantum computation

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Determination of quasiprobability distributions in terms of probability distributions for the rotated quadrature phase

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum state tomography via linear regression estimation

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum-state estimation

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum-enhanced markov chain monte carlo

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.823163Z

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This paper cites A Quantum Approximate Optimization Algorithm.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers A Quantum Approximate Optimization Algorithm

Reference 76

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Characterizing quantum supremacy in near-term devices

Reference 77

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This paper cites On the complexity and verification of quantum random circuit sampling.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers On the complexity and verification of quantum random circuit sampling

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.831913Z

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Observation 2292d0ad-b971-41e2-8d94-d2db2e3cdd36 · outbound

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.834731Z

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This paper cites The variational quantum eigensolver: a review of methods and best practices.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers The variational quantum eigensolver: a review of methods and best practices

Reference 80

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Observation 0b0f0c6f-f91c-431a-91e7-77bfa55875f8 · outbound

This paper cites Shadow tomography of quantum states.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Shadow tomography of quantum states

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.840310Z

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Observation a2951e67-d028-4449-bb0b-8516ff1865d3 · outbound

This paper cites Predicting many properties of a quantum system from very few measurements.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Predicting many properties of a quantum system from very few measurements

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.843068Z

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Observation 8eddb56f-0434-4ab7-be4e-d68b11662c22 · outbound

This paper cites Quantum linear algebra is all you need for transformer architectures, 2024 a.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum linear algebra is all you need for transformer architectures, 2024 a

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Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.845861Z

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Observation 71f7c720-4dbd-431d-9587-00ab40c5924a · outbound

This paper cites Quantum amplitude amplification and estimation.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum amplitude amplification and estimation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.848660Z

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Observation 55a2359c-2063-4733-aa12-e5e4ff6bd62c · outbound

This paper cites Compiling basic linear algebra subroutines for quantum computers.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Compiling basic linear algebra subroutines for quantum computers

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.851515Z

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Observation 0e1d7960-0f2e-4983-bb78-12defe2ac470 · outbound

This paper cites Nonlinear transformation of complex amplitudes via quantum singular value transformation.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Nonlinear transformation of complex amplitudes via quantum singular value transformation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.854506Z

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Observation 6d80bf11-1ec7-42bf-b6cb-fa08014fd55c · outbound

This paper cites Non-Linear Transformations of Quantum Amplitudes: Exponential Improvement, Generalization, and Applications.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Non-Linear Transformations of Quantum Amplitudes: Exponential Improvement, Generalization, and Applications

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.858104Z

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Observation d620f231-79f0-43a5-9de4-781ed3bf9e23 · outbound

This paper cites Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicators.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicators

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.861109Z

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Observation 989f7875-e96c-40d0-a9a1-0709cc45ec6b · outbound

This paper cites Data re-uploading for a universal quantum classifier.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Data re-uploading for a universal quantum classifier

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.863965Z

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Observation d932ba80-86d4-43f8-9f25-996fcfa08d27 · outbound

This paper cites Neural quantum embedding: Pushing the limits of quantum supervised learning.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Neural quantum embedding: Pushing the limits of quantum supervised learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.866732Z

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Observation c236b6fe-d7fd-4a52-8a08-40ab526ae412 · outbound

This paper cites Information encoding.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Information encoding

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.869713Z

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Observation 013012a6-c8dd-4931-a26c-a7fe13e2a03d · outbound

This paper cites Principal component analysis.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Principal component analysis

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.872576Z

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Observation ea44b23f-5a35-4d95-99a1-0c86672772ae · outbound

This paper cites Quantum embeddings for machine learning.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum embeddings for machine learning

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.875448Z

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Observation 10b592dc-068a-4047-b77d-8c19d2cb9696 · outbound

This paper cites Embedding learning in hybrid quantum-classical neural networks.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Embedding learning in hybrid quantum-classical neural networks

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.878631Z

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Observation e43fb143-0bc8-4377-a751-a5225990a644 · outbound

This paper cites Quantum singular-value decomposition of nonsparse low-rank matrices.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum singular-value decomposition of nonsparse low-rank matrices

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.881575Z

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Observation 995664b8-f7b9-47c0-a7e9-952c009f3582 · outbound

This paper cites Quantum gram-schmidt processes and their application to efficient state readout for quantum algorithms.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum gram-schmidt processes and their application to efficient state readout for quantum algorithms

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.884411Z

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Observation fefdda5b-7584-45a5-8c86-f05d38702b69 · outbound

This paper cites Efficient tomography of a quantum many-body system.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Efficient tomography of a quantum many-body system

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.887339Z

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Observation 59a3c232-ba54-4f34-9314-e7eb2c2c07dc · outbound

This paper cites Tensor networks for complex quantum systems.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Tensor networks for complex quantum systems

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.890294Z

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Observation ab0b4de8-9ffd-4a92-bcfa-b4e004909f0b · outbound

This paper cites An introduction to restricted boltzmann machines.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers An introduction to restricted boltzmann machines

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.893289Z

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Observation 6ea5c64b-7493-4e35-a497-7ffa79a55ad4 · outbound

This paper cites Attention is all you need.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Attention is all you need

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.896184Z

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Pith citing papers

Observation bf5f9a13-e5dc-4f56-82c5-4212c2d848ae · inbound

LCQNN: Linear Combination of Quantum Neural Networks cites this paper.

LCQNN: Linear Combination of Quantum Neural Networks Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 13

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Observation b82f579a-1b57-43c0-903e-f3e3309e60c1 · inbound

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method cites this paper.

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 2018

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Observation 12e053a4-c416-49e9-aee6-b5ab8db62b5f · inbound

Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems cites this paper.

Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 9

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Observation 1e05e237-4f7b-431d-bffc-a4ebf7d88ba3 · inbound

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors cites this paper.

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:03.020560Z

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Observation e0e62cbf-64cb-4963-b9a2-3d0f0b2f7f43 · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T05:50:39.018728Z

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Observation 1a1e0952-2bf7-41dc-98ca-9a71cf96bfcf · inbound

Accelerating Inference for Multilayer Neural Networks with Quantum Computers cites this paper.

Accelerating Inference for Multilayer Neural Networks with Quantum Computers Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:00:38.252125Z

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Observation 8922a20b-341d-4329-aa85-e811570d3b5a · inbound

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics cites this paper.

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:42:26.516651Z

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

Pulsed learning for quantum data re-uploading models cites this paper.

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

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T17:08:57.511387Z

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Observation 01d936b7-9326-406f-a950-790130034930 · inbound

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach cites this paper.

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T08:12:37.598276Z

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Observation 2104a724-99b7-40c7-b47f-f372f53d5bd2 · inbound

HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation cites this paper.

HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:57.283725Z

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Observation b38026fa-8d5a-4362-96d0-a521835f9c71 · inbound

Exponential quantum advantage in processing massive classical data cites this paper.

Exponential quantum advantage in processing massive classical data Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:00.307268Z

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Observation e07e24ba-12fc-4e10-84c1-6d9295fe9a81 · inbound

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits cites this paper.

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:40:57.790965Z

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Observation 9217ec58-dbd0-427b-93e7-172d71112314 · inbound

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits cites this paper.

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T05:31:09.815936Z

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Observation 22b0d01d-85e3-42ab-b3ce-2bad5ebf2551 · inbound

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma cites this paper.

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:39:22.983291Z

Source-reported events for the cited work

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Observation 890ae3e6-9c85-46d0-a9b9-449ca83d09bf · inbound

HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation cites this paper.

HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:28.167209Z

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Observation 6a564649-2475-4f15-8eae-ff0870856f09 · inbound

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework cites this paper.

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:52:23.864340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.