Leveraging Quantum Layers in Classical Neural Networks | Paper Citation Record

Observation 1ca0c5ce-c6f8-421f-81c6-1800bd807891 · outbound

This paper cites Realiza- tion of a scalable Shor algorithm.Science.

Leveraging Quantum Layers in Classical Neural Networks Realiza- tion of a scalable Shor algorithm.Science

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Observation 7600a19c-a57f-4be2-ac16-bcff3d35da27 · outbound

This paper cites Distributed quantum computing: A distributed Shor algorithm.

Leveraging Quantum Layers in Classical Neural Networks Distributed quantum computing: A distributed Shor algorithm

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This paper cites Grover algorithm with zero theoretical failure rate.Physical Review A.

Leveraging Quantum Layers in Classical Neural Networks Grover algorithm with zero theoretical failure rate.Physical Review A

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This paper cites Searching in Grover's Algorithm.

Leveraging Quantum Layers in Classical Neural Networks Searching in Grover's Algorithm

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This paper cites Implementing Grover’s algorithm on the IBM quantum computers.

Leveraging Quantum Layers in Classical Neural Networks Implementing Grover’s algorithm on the IBM quantum computers

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Observation 17aeb4de-d50f-4b90-8713-bd54e4aa29c9 · outbound

This paper cites IBM Quantum.

Leveraging Quantum Layers in Classical Neural Networks IBM Quantum

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Observation 005ac405-db8f-4e72-af50-408d36187c96 · outbound

This paper cites Google Quantum AI.

Leveraging Quantum Layers in Classical Neural Networks Google Quantum AI

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Observation 0dc87426-36cb-490e-b5b7-26470843d8d8 · outbound

This paper cites Rigetti Computing.2025.Availablealsofrom: https://www.rigetti.

Leveraging Quantum Layers in Classical Neural Networks Rigetti Computing.2025.Availablealsofrom: https://www.rigetti

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This paper cites Challenges and opportunities of near-term quantum computing sys- tems.

Leveraging Quantum Layers in Classical Neural Networks Challenges and opportunities of near-term quantum computing sys- tems

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Observation 34325528-6403-443e-9589-81add2ee9a71 · outbound

This paper cites Perspectives of quantum annealing: Methods and implementations.Re- ports on Progress in Physics.

Leveraging Quantum Layers in Classical Neural Networks Perspectives of quantum annealing: Methods and implementations.Re- ports on Progress in Physics

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Observation 549c1210-d298-4a11-ad3b-d40f259e15d7 · outbound

This paper cites Implementation of quantum annealing: A systematic review.Ieee Access.

Leveraging Quantum Layers in Classical Neural Networks Implementation of quantum annealing: A systematic review.Ieee Access

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Observation fbf9cd2f-eb19-4d4a-9e8d-cf4a117faccc · outbound

This paper cites Fundamental properties of Hamiltonian operators of Schrödinger type.Trans- actions of the American Mathematical Society.

Leveraging Quantum Layers in Classical Neural Networks Fundamental properties of Hamiltonian operators of Schrödinger type.Trans- actions of the American Mathematical Society

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Observation 80b4f220-b348-4b9e-ab05-4bc569e1d4f9 · outbound

This paper cites Adiabatic quantum computation.Reviews of Modern Physics.

Leveraging Quantum Layers in Classical Neural Networks Adiabatic quantum computation.Reviews of Modern Physics

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Observation 30be2959-7a27-445e-aabd-65baab599436 · outbound

This paper cites Quantum annealing in the transverse Ising model.

Leveraging Quantum Layers in Classical Neural Networks Quantum annealing in the transverse Ising model

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Observation 1bf4b743-b827-45db-ad2c-471251178461 · outbound

This paper cites Quantum annealing of the traveling-salesman problem.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics.

Leveraging Quantum Layers in Classical Neural Networks Quantum annealing of the traveling-salesman problem.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics

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Observation 661bc04d-3d11-4124-aa30-d21661d1ec20 · outbound

This paper cites A review of machine learning classification using quantum annealing for real-world applications.

Leveraging Quantum Layers in Classical Neural Networks A review of machine learning classification using quantum annealing for real-world applications

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This paper cites Quantum computing and materials science: A practical guide to applying quantum annealing to the configurational analysis of materials.Journal of Applied Physics.

Leveraging Quantum Layers in Classical Neural Networks Quantum computing and materials science: A practical guide to applying quantum annealing to the configurational analysis of materials.Journal of Applied Physics

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This paper cites Quantum an- nealing for industry applications: Introduction and review.Reports on Progress in Physics.

Leveraging Quantum Layers in Classical Neural Networks Quantum an- nealing for industry applications: Introduction and review.Reports on Progress in Physics

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Observation b40e43da-3ce8-4f0a-a6fb-206f8753d157 · outbound

This paper cites D-Wave Quantum.

Leveraging Quantum Layers in Classical Neural Networks D-Wave Quantum

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Observation c772395e-1216-4b81-934c-18950eed954f · outbound

This paper cites An introduction to boson-sampling.

Leveraging Quantum Layers in Classical Neural Networks An introduction to boson-sampling

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Observation e7673ef8-0dc8-44ba-b936-634b371f2d5a · outbound

This paper cites Computational complexity.

Leveraging Quantum Layers in Classical Neural Networks Computational complexity

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This paper cites Quantum computational advantage using photons.Science.

Leveraging Quantum Layers in Classical Neural Networks Quantum computational advantage using photons.Science

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Observation b4a4cc6d-be4d-4b5c-9766-08d6e60b670d · outbound

This paper cites Computational advantage from a quantum super- position of qubit gate orders.Physical Review Letters.

Leveraging Quantum Layers in Classical Neural Networks Computational advantage from a quantum super- position of qubit gate orders.Physical Review Letters

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Observation eebd2fa0-b676-46ba-9393-9e96798fd1e9 · outbound

This paper cites Dirac’s bra-ket notation and the notion of a quantum state.

Leveraging Quantum Layers in Classical Neural Networks Dirac’s bra-ket notation and the notion of a quantum state

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This paper cites The advantages of superposition.Science.

Leveraging Quantum Layers in Classical Neural Networks The advantages of superposition.Science

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This paper cites Quantum entanglement.Reviews of modern physics.

Leveraging Quantum Layers in Classical Neural Networks Quantum entanglement.Reviews of modern physics

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This paper cites The bloch sphere.

Leveraging Quantum Layers in Classical Neural Networks The bloch sphere

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This paper cites General principles of quantum mechanics.

Leveraging Quantum Layers in Classical Neural Networks General principles of quantum mechanics

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This paper cites Unitary operator bases.Proceedings of the National Academy of Sci- ences.

Leveraging Quantum Layers in Classical Neural Networks Unitary operator bases.Proceedings of the National Academy of Sci- ences

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Leveraging Quantum Layers in Classical Neural Networks Universal quantum gates

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Leveraging Quantum Layers in Classical Neural Networks Universality verification for a set of quantum gates.Physical Review A

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Leveraging Quantum Layers in Classical Neural Networks Quantum circuit archi- tecture

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Leveraging Quantum Layers in Classical Neural Networks Error mitigation for short-depth quantum circuits.Physical review letters

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Leveraging Quantum Layers in Classical Neural Networks Quantum compiling

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Leveraging Quantum Layers in Classical Neural Networks On the complexity of quantum circuit compilation

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Leveraging Quantum Layers in Classical Neural Networks Quantum circuit optimization and transpilation via parame- terized circuit instantiation

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Leveraging Quantum Layers in Classical Neural Networks In: Design, Automation and Test in Europe

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Leveraging Quantum Layers in Classical Neural Networks Noise resilient compilation policies for quantum approximate optimization algo- rithm

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Leveraging Quantum Layers in Classical Neural Networks In:Proceedings of the twenty-fourth international conference on architectural support for programming languages and operating systems

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Leveraging Quantum Layers in Classical Neural Networks Decompositions of general quantum gates

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Leveraging Quantum Layers in Classical Neural Networks The solovay-kitaev theorem.Essay at University of Waterloo

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Leveraging Quantum Layers in Classical Neural Networks Near-optimal quantum circuit construction via Cartan de- composition

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Leveraging Quantum Layers in Classical Neural Networks Circuit decomposition of multicontrolled special unitary single-qubit gates

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Leveraging Quantum Layers in Classical Neural Networks The Bravyi-Kitaev transformation for quantum computation of electronic structure

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ddf035b3-9f2b-4c56-9cb2-2d24ceffd9e2 · outbound

This paper cites Measurement error mitigation in quantum computers through classical bit-flip correction.Physical Review A.

Leveraging Quantum Layers in Classical Neural Networks Measurement error mitigation in quantum computers through classical bit-flip correction.Physical Review A

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:46.428153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2ea0d5c-1c6f-49c3-a3ae-579ed78c4077 · outbound

This paper cites Quantum advantage in learning from experiments.Science.

Leveraging Quantum Layers in Classical Neural Networks Quantum advantage in learning from experiments.Science

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:46.281701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25e7c683-9f0e-451e-b3d5-a82a0b94fd91 · outbound

This paper cites Practical quantum advantage in quan- tum simulation.Nature.

Leveraging Quantum Layers in Classical Neural Networks Practical quantum advantage in quan- tum simulation.Nature

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:46.113944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e4f063d-1de4-46a4-a1df-96d719c65705 · outbound

This paper cites Reversible computing.

Leveraging Quantum Layers in Classical Neural Networks Reversible computing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.979860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d170243-8d15-4045-bcbb-e2d225afa4b8 · outbound

This paper cites Notes on Landauer’s principle, reversible computation, and Maxwell’s Demon.

Leveraging Quantum Layers in Classical Neural Networks Notes on Landauer’s principle, reversible computation, and Maxwell’s Demon

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.818432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e76c256d-034e-4d57-bb31-dc7b61c13ca1 · outbound

This paper cites A literature survey of active machine learning in the context of natural language processing.

Leveraging Quantum Layers in Classical Neural Networks A literature survey of active machine learning in the context of natural language processing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.703268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 586eefee-7bd5-495e-85c1-783b88a0287f · outbound

This paper cites Machine learning in finance.

Leveraging Quantum Layers in Classical Neural Networks Machine learning in finance

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.550004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a886a7f6-645b-4526-a5bd-0530f3bfa36a · outbound

This paper cites Machine learning in medicine.Circulation.

Leveraging Quantum Layers in Classical Neural Networks Machine learning in medicine.Circulation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.378880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb13aae9-3a5c-4d05-8f2b-a9fd744f084a · outbound

This paper cites Machine Learning in Chemistry.

Leveraging Quantum Layers in Classical Neural Networks Machine Learning in Chemistry

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.251194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1bfd4ed1-0698-465c-9baf-d00da1d78882 · outbound

This paper cites Supervised learning.

Leveraging Quantum Layers in Classical Neural Networks Supervised learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:45.105211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a7eaa93-2b10-435b-9d5c-4f418b3e5084 · outbound

This paper cites Support vector machines.IEEE Intelligent Systems and their applications.

Leveraging Quantum Layers in Classical Neural Networks Support vector machines.IEEE Intelligent Systems and their applications

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.983855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79d56f0a-48ee-4893-bfcb-cb27650176f2 · outbound

This paper cites Classification based on decision tree algo- rithm for machine learning.Journal of applied science and technology trends.

Leveraging Quantum Layers in Classical Neural Networks Classification based on decision tree algo- rithm for machine learning.Journal of applied science and technology trends

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.849734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae918e16-074f-4971-89f1-16e1fa8bcb78 · outbound

This paper cites An introduction to neural networks.

Leveraging Quantum Layers in Classical Neural Networks An introduction to neural networks

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.702081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d559de18-1071-432f-b709-b288dc809296 · outbound

This paper cites Unsupervised learning.Neural computation.

Leveraging Quantum Layers in Classical Neural Networks Unsupervised learning.Neural computation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.571198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8710cd1-9949-4202-a4fb-3c031a27e9d6 · outbound

This paper cites Clustering methods.Data mining and knowledge discovery handbook.

Leveraging Quantum Layers in Classical Neural Networks Clustering methods.Data mining and knowledge discovery handbook

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.428995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 169ccedf-32e3-4c41-8d0d-f697e96ac9bd · outbound

This paper cites Di- mensionality reduction: A comparative review.Journal of machine learning research.

Leveraging Quantum Layers in Classical Neural Networks Di- mensionality reduction: A comparative review.Journal of machine learning research

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.289935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e4c7a17-d656-4dff-bfcb-4973eed2a83e · outbound

This paper cites Semi-supervised learning.

Leveraging Quantum Layers in Classical Neural Networks Semi-supervised learning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:44.147824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c893a14d-8026-484f-a282-b2a8cdf33ec0 · outbound

This paper cites Reinforcement learning: A survey.Journal of artificial intelligence research.

Leveraging Quantum Layers in Classical Neural Networks Reinforcement learning: A survey.Journal of artificial intelligence research

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:43.999707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36fbb4bb-53ba-497d-9368-7ceca8a2bf2c · outbound

This paper cites An overview of overfitting and its solutions.

Leveraging Quantum Layers in Classical Neural Networks An overview of overfitting and its solutions

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:43.863466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24ff3fa2-730d-487c-b260-d7a7cfbd7e01 · outbound

This paper cites A comprehensive survey on regularization strategies in ma- chine learning.Information Fusion.

Leveraging Quantum Layers in Classical Neural Networks A comprehensive survey on regularization strategies in ma- chine learning.Information Fusion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:43.745319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5155730-63a6-409d-8750-e47f1c289cfc · outbound

This paper cites A survey of L1 regression.

Leveraging Quantum Layers in Classical Neural Networks A survey of L1 regression

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:43.543790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80855313-8fbf-4252-a53b-d21d6f613610 · outbound

This paper cites A Review of Techniques for Regular- ization.

Leveraging Quantum Layers in Classical Neural Networks A Review of Techniques for Regular- ization

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:43.236701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a3e7716-bad7-46e6-bef5-30b706880767 · outbound

This paper cites Understanding dropout.Advances in neural informa- tion processing systems.

Leveraging Quantum Layers in Classical Neural Networks Understanding dropout.Advances in neural informa- tion processing systems

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:42.971146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a14f7ad7-4ad1-4733-968d-a8aea8b29256 · outbound

This paper cites A survey of convolu- tional neural networks: analysis, applications, and prospects.IEEE transactions on neural networks and learning systems.

Leveraging Quantum Layers in Classical Neural Networks A survey of convolu- tional neural networks: analysis, applications, and prospects.IEEE transactions on neural networks and learning systems

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:42.643186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5a2ee16-7948-49d5-a1e9-e5b694ad37ee · outbound

This paper cites A review of object detection based on convolutional neural network.

Leveraging Quantum Layers in Classical Neural Networks A review of object detection based on convolutional neural network

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:42.367704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4bee6df-df21-4b00-857f-6fb90c97610e · outbound

This paper cites A review of semantic segmentation using deep neural networks.International journal of multimedia information retrieval.

Leveraging Quantum Layers in Classical Neural Networks A review of semantic segmentation using deep neural networks.International journal of multimedia information retrieval

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:42.161416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 506de205-d9cf-4f5a-af43-7bd7113d3672 · outbound

This paper cites A survey of image classification methods and techniques for improving classification performance.International journal of Remote sensing.

Leveraging Quantum Layers in Classical Neural Networks A survey of image classification methods and techniques for improving classification performance.International journal of Remote sensing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:42.001996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58dc0bc5-4fee-42e8-a914-a367750cedd9 · outbound

This paper cites Linear separability and classification complexity.Expert Systems with Ap- plications.

Leveraging Quantum Layers in Classical Neural Networks Linear separability and classification complexity.Expert Systems with Ap- plications

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.871727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14be3a42-a173-4e34-aeba-cae43bb5078b · outbound

This paper cites What is a support vector machine?Nature biotechnology.

Leveraging Quantum Layers in Classical Neural Networks What is a support vector machine?Nature biotechnology

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.717516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ec1771ad-42e3-4049-b4e6-aeaa1077c95f · outbound

This paper cites Logistic regression.

Leveraging Quantum Layers in Classical Neural Networks Logistic regression

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.587828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b09c5d8-5ad9-4e87-a76a-320f912b756b · outbound

This paper cites MIT press, 1988.

Leveraging Quantum Layers in Classical Neural Networks MIT press, 1988

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.479832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea270c55-5ca9-48b2-b0c5-415e71aa1021 · outbound

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Leveraging Quantum Layers in Classical Neural Networks Quantum machine learning: a classical perspective.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.365698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32aa99b4-f303-44ed-aafa-dcaee3e51f3c · outbound

This paper cites A survey of NISQ era hybrid quantum-classical machine learning re- search.

Leveraging Quantum Layers in Classical Neural Networks A survey of NISQ era hybrid quantum-classical machine learning re- search

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.227744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02dcd4ba-2e71-4a91-b120-3d26eb15c5d3 · outbound

This paper cites Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks.Applied Soft Computing.

Leveraging Quantum Layers in Classical Neural Networks Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks.Applied Soft Computing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:41.086829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8be1344a-efbb-43f0-b3aa-e17006be2b13 · outbound

This paper cites Data encod- ing patterns for quantum computing.

Leveraging Quantum Layers in Classical Neural Networks Data encod- ing patterns for quantum computing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:40.941262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f88c5a5-8773-42d8-809c-27547fed9015 · outbound

This paper cites Encoding techniques for quantum machine learning.

Leveraging Quantum Layers in Classical Neural Networks Encoding techniques for quantum machine learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:40.838577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c79c2762-759f-400e-8179-3a010dc732d6 · outbound

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Leveraging Quantum Layers in Classical Neural Networks Challenges and opportunities in quantum machine learning.Nature computational science

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:40.720632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad14d21b-42a0-4c70-b249-e4ee84408a3f · outbound

This paper cites What is quantum parallelism, anyhow? In:ISC High Performance 2024 Research Paper Proceedings (39th International Conference).

Leveraging Quantum Layers in Classical Neural Networks What is quantum parallelism, anyhow? In:ISC High Performance 2024 Research Paper Proceedings (39th International Conference)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:53:40.589877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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