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Paper Citation Record · LEDGER

Leveraging Quantum Layers in Classical Neural Networks

As of 23 August 2026, this Paper Citation Record lists 100 of 129 outbound references and 0 inbound Pith citation observations for arXiv:2507.12505.

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

pith.paper-citation-record.v1
2507.12505 v1

Coverage vector

measured 100 of 129 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T16:53:33.694272Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

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Reference resolution

100 of 129 outbound references displayed

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Outbound references

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

Reference 1

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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

Reference 2

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Observation 925c9bf6-2b50-4243-bc10-439bace7d6e7 · outbound

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

Reference 3

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source=pdf_text observed=2026-08-06T16:53:25.002688Z digest=sha256:5e9d40838e7677f7b498cd576fca6876aff36c0e7e87be09471964dd9d382db8

Observation 71e13737-acf7-4ecf-9bc1-248a111c3a64 · outbound

This paper cites Searching in Grover's Algorithm.

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

Reference 4

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Observation 1b36a0bb-62a5-4067-b81b-0641b601b630 · outbound

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

Reference 5

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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

Reference 6

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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

Reference 7

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source=pdf_text observed=2026-08-06T16:53:25.356010Z digest=sha256:7febc9aa7ebfc33d93688c08067682e63ea42fcc763371177ac802bc5458b374

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

Reference 8

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source=pdf_text observed=2026-08-06T16:53:25.498974Z digest=sha256:00b453dbe5d845a145656fbb2275bc1d18cb21e855381caff44e8832c15c6743

Observation a2de2ad5-8c8c-4573-9a74-0988eac62884 · outbound

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

Reference 9

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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

Reference 10

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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

Reference 11

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source=pdf_text observed=2026-08-06T16:53:25.743843Z digest=sha256:fc5b2b1998c55eae3cf87ca216fb94a83e53e522eff6e81551a4e8279d0667cb

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

Reference 12

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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

Reference 13

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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

Reference 14

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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

Reference 15

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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

Reference 16

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Observation aaf505e9-0f9c-492c-b103-d4743144d937 · outbound

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

Reference 17

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Observation 1d9ba7df-142b-4fce-97c2-217203b29bf7 · outbound

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

Reference 18

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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

Reference 19

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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

Reference 20

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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

Reference 21

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Observation e6837282-fbee-43c7-98ce-92ad3c516333 · outbound

This paper cites Quantum computational advantage using photons.Science.

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

Reference 22

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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

Reference 23

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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

Reference 24

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Observation 2ee1e41b-e745-42f8-8356-d7e7769098db · outbound

This paper cites The advantages of superposition.Science.

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

Reference 25

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Observation 8d09c304-aad2-4a22-946f-6f6f063dd253 · outbound

This paper cites Quantum entanglement.Reviews of modern physics.

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

Reference 26

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Observation 2c4845c1-81cc-4a43-9ff5-d7497cb89ea9 · outbound

This paper cites The bloch sphere.

Leveraging Quantum Layers in Classical Neural Networks The bloch sphere

Reference 27

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source=pdf_text observed=2026-08-06T16:53:27.300692Z digest=sha256:467e1dce950f8eb4b83f5c17fe2d4169397405c85e3f790ab81913118928220c

Observation 1a6eeef0-7801-4731-871a-5cd9ebd588f2 · outbound

This paper cites General principles of quantum mechanics.

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

Reference 28

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Observation 9d4d1513-8ec6-4b0f-b139-f790d367811f · outbound

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

Reference 29

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Observation 283fcf40-9866-4b58-a3b2-c3c68fbb1aa1 · outbound

This paper cites Universal quantum gates.

Leveraging Quantum Layers in Classical Neural Networks Universal quantum gates

Reference 30

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Observation bdcd37ad-f2c5-4436-9ace-8e2a61748fb1 · outbound

This paper cites Universality verification for a set of quantum gates.Physical Review A.

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

Reference 31

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Observation 48f2bde2-0b44-45b3-a3fd-fe08a494e80e · outbound

This paper cites Quantum circuit archi- tecture.

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

Reference 32

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Observation bec7afbd-176d-43af-a33b-e007e2940362 · outbound

This paper cites Error mitigation for short-depth quantum circuits.Physical review letters.

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

Reference 33

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Observation 2d77a20a-d9a0-4c09-8b8a-2783f8c2a5d5 · outbound

This paper cites Quantum compiling.

Leveraging Quantum Layers in Classical Neural Networks Quantum compiling

Reference 34

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Observation 274c4c4c-7a62-4566-ab3a-89c88645dd03 · outbound

This paper cites On the complexity of quantum circuit compilation.

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

Reference 35

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Observation 8cada219-2fca-4735-a7c4-29120e8c93f6 · outbound

This paper cites Quantum circuit optimization and transpilation via parame- terized circuit instantiation.

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

Reference 36

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Observation 7221206c-9d2f-4c7d-8bdf-42e10d24174f · outbound

This paper cites In: Design, Automation and Test in Europe.

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

Reference 37

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Observation b779f563-8546-4e49-a50b-aa5d1975fd1b · outbound

This paper cites Im- proving quantum computation by optimized qubit routing.Journal of Optimization Theory and Applications.

Leveraging Quantum Layers in Classical Neural Networks Im- proving quantum computation by optimized qubit routing.Journal of Optimization Theory and Applications

Reference 38

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Observation c27db046-f42d-45cd-9651-f53f6dc0178d · outbound

This paper cites Noise resilient compilation policies for quantum approximate optimization algo- rithm.

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

Reference 39

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source=pdf_text observed=2026-08-06T16:53:28.764683Z digest=sha256:e4a4fd28159098546ea984bdc65cccbf2b6d2d5381ea754b6d952f60259d33fb

Observation 58e331ec-8863-4067-b300-4a9e66208289 · outbound

This paper cites In:Proceedings of the twenty-fourth international conference on architectural support for programming languages and operating systems.

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

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:53:28.853056Z digest=sha256:80235848eaceabeab97b97f84800a9ee0a1d96c86eb4104bd2af15ccaa262690

Observation 16c25948-a5d2-42a1-8042-c7588e468195 · outbound

This paper cites Decompositions of general quantum gates.

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

Reference 41

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no resolver link, observed 2026-08-06T16:53:28.990056Z

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source=pdf_text observed=2026-08-06T16:53:28.990056Z digest=sha256:412549f0374e71392842120a13b4ce36a46764206d7f700ae94baa29e2966dc6

Observation c3a1261d-7e8a-405c-acf6-3aaf35c7dc3d · outbound

This paper cites The solovay-kitaev theorem.Essay at University of Waterloo.

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

Reference 42

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source=pdf_text observed=2026-08-06T16:53:29.130226Z digest=sha256:8e05d646f0c1e85509b9e3df3defb011a449ae4ace66b7cc195dc0abd38e4d9a

Observation 937edcc4-76f6-4486-ba49-d25cbdd3ec72 · outbound

This paper cites Efficient decomposition of unitary matrices in quantum circuit compilers.Applied Sciences.

Leveraging Quantum Layers in Classical Neural Networks Efficient decomposition of unitary matrices in quantum circuit compilers.Applied Sciences

Reference 43

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no resolver link, observed 2026-08-06T16:53:29.271515Z

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source=pdf_text observed=2026-08-06T16:53:29.271515Z digest=sha256:7364ba97ac6a25fda68a19f3688eb1aa0b73024bc4ee988f8812f37de46198d4

Observation 6b611a07-a5a4-4d14-9c1c-354a374b8840 · outbound

This paper cites Near-optimal quantum circuit construction via Cartan de- composition.

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

Reference 44

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unresolved
no resolver link, observed 2026-08-06T16:53:29.339791Z

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source=pdf_text observed=2026-08-06T16:53:29.339791Z digest=sha256:5950eb903c8d3011d4763cf60537e5c1d502cb2b87b5a951fbf35ee6268f6ac9

Observation 66caec27-225d-4e10-ac6d-ee15503c0af8 · outbound

This paper cites Optimizing Gate De- composition for High-Level Quantum Programming.Quantum.

Leveraging Quantum Layers in Classical Neural Networks Optimizing Gate De- composition for High-Level Quantum Programming.Quantum

Reference 45

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no resolver link, observed 2026-08-06T16:53:29.396839Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:53:29.396839Z digest=sha256:e90512933a284c4173a675cacc98bf2be95caf5b2e7455f8e0415e3befefd905

Observation 4145a6c7-42ae-4a31-892d-f86e03d7bf8c · outbound

This paper cites Qcontext: Context-aware decomposition for quan- tum gates.

Leveraging Quantum Layers in Classical Neural Networks Qcontext: Context-aware decomposition for quan- tum gates

Reference 46

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unresolved
no resolver link, observed 2026-08-06T16:53:29.522384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:53:29.522384Z digest=sha256:978dc074c99700d0aa0841fc5606660a0f46e0e39ba23e7cf21eeafdc763fe14

Observation 7153ffa9-87cf-408b-ab4e-3b705ff498a5 · outbound

This paper cites Circuit decomposition of multicontrolled special unitary single-qubit gates.

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

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T16:53:29.657497Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:53:29.657497Z digest=sha256:4d57bb1c9dd961fb8b9ddce085e207ee43abe5626a816bc9edda3a3f1f1fa155

Observation 6398ff1e-c8aa-4a1b-b585-7b614ccda11b · outbound

This paper cites Fermionic systems for quantum information people.Journal of Physics A: Mathematical and Theoretical.

Leveraging Quantum Layers in Classical Neural Networks Fermionic systems for quantum information people.Journal of Physics A: Mathematical and Theoretical

Reference 48

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no resolver link, observed 2026-08-06T16:53:29.758885Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:53:29.758885Z digest=sha256:438dea95adfbd84ecbd0213b35fd00234731506be8eb9cf85aee45358353db4d

Observation 1dfb8091-dee7-4684-9b69-58ef3d891478 · outbound

This paper cites Quantum.2023,vol.7,p.950.

Leveraging Quantum Layers in Classical Neural Networks Quantum.2023,vol.7,p.950

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T16:53:29.844006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:53:29.844006Z digest=sha256:d87fb275b9a6d0140875018ca5d2d43bfd28243e8bfb4625542bcea323508b83

Observation 63e85aee-39dd-48af-a6e8-d0d7a7d2f1b3 · outbound

This paper cites Quantum operations in an information theory for fermions.Physical Re- view A.

Leveraging Quantum Layers in Classical Neural Networks Quantum operations in an information theory for fermions.Physical Re- view A

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T16:53:29.959640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:53:29.959640Z digest=sha256:8dbc362bf63f68e979012334c9787eebef51f116cbc27517a053881fcdb813cf

Observation b98514fb-a882-4f3f-958d-e9aa95f29bc9 · outbound

This paper cites Geometric Algebra Jordan–Wigner Transformation for Quantum Simulation.Entropy.

Leveraging Quantum Layers in Classical Neural Networks Geometric Algebra Jordan–Wigner Transformation for Quantum Simulation.Entropy

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:48.541347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.098627Z digest=sha256:88f6e5ec4c2f3bcf4b56ae74ac4acc3224a839fa35c19bf71dc65f0b63ba69de

Observation 59584d06-a84d-4430-937f-ed4b0af7c73a · outbound

This paper cites The Bravyi-Kitaev transformation for quantum computation of electronic structure.

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

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:48.410819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.170318Z digest=sha256:98708f657ab060999ae71d19c4d46ba4d905680a1b51fb74f3f719b55316cbda

Observation 14b1bdac-94ae-4c37-b3a5-9adbfd4efc58 · outbound

This paper cites Superconducting qubits: Cur- rent state of play.Annual Review of Condensed Matter Physics.

Leveraging Quantum Layers in Classical Neural Networks Superconducting qubits: Cur- rent state of play.Annual Review of Condensed Matter Physics

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:48.284073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.250353Z digest=sha256:452020108c7a257e57b4934f9ce1076ed04808b605d36be598009fce7d587145

Observation 833bdac2-b233-404b-b85a-8c2ceb6ab2fb · outbound

This paper cites Quantum-state engineering with Josephson-junction devices.Reviews of modern physics.

Leveraging Quantum Layers in Classical Neural Networks Quantum-state engineering with Josephson-junction devices.Reviews of modern physics

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:48.146361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.321950Z digest=sha256:e5c1cc02ec77046d51635c2465cd85cd7ea5a5e948977eb742cdcb2656436f06

Observation 2ccb5390-1c75-432b-8247-b3d6b2288ba9 · outbound

This paper cites Architecture for a large-scale ion-trap quantum computer.Nature.

Leveraging Quantum Layers in Classical Neural Networks Architecture for a large-scale ion-trap quantum computer.Nature

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:48.010970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.393580Z digest=sha256:76cfa17c658782ad1e3b2d2326e02b11a984fd35623b88487aca7d26350608f7

Observation 8212d43d-6b20-4b5f-93fe-e18938125174 · outbound

This paper cites Ion trap in a semiconductor chip.

Leveraging Quantum Layers in Classical Neural Networks Ion trap in a semiconductor chip

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:47.880503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.442214Z digest=sha256:dcaed9b83c8c028f909fcebcc623893e6232abcbfcc8af46159bb23870db00c0

Observation 870bd7ba-7a67-4eb2-b58e-07fb393c168f · outbound

This paper cites Toward large-scale fault-tolerant universal pho- tonic quantum computing.APL Photonics.

Leveraging Quantum Layers in Classical Neural Networks Toward large-scale fault-tolerant universal pho- tonic quantum computing.APL Photonics

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:47.733054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.568483Z digest=sha256:c1c324f7ff8d40e05d48c0227072479b9304eeaab464a8bd71bca8a9ea9bac06

Observation 541a202b-25ed-4b2f-898d-2f6fe68c8afd · outbound

This paper cites Neutral atom quantum register.Physical Review Letters.

Leveraging Quantum Layers in Classical Neural Networks Neutral atom quantum register.Physical Review Letters

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:47.536610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.623371Z digest=sha256:bb058543cbe51636b9116ea4e29d28e3310727c03c3d7e8e1d4686f361094b6e

Observation c23bb53f-ee26-4a55-8d69-dea13fbb3b79 · outbound

This paper cites The problem of measurement in quantum mechanics.

Leveraging Quantum Layers in Classical Neural Networks The problem of measurement in quantum mechanics

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:47.326894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.675811Z digest=sha256:5dc54256bab92661815afeb9ee5da8b4cb0be7495a21e5ab06eaacc361a096b3

Observation 6fe2b5f8-86fb-44b7-9190-01a58967dda7 · outbound

This paper cites Postulates for general quantum mechanics.Annals of Mathematics.

Leveraging Quantum Layers in Classical Neural Networks Postulates for general quantum mechanics.Annals of Mathematics

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:47.111233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.745276Z digest=sha256:683f3849bd8f8b04f5e0140c74c92373e79e2423bfca98c3c8c4845628e63713

Observation 38db1d15-daec-4305-98aa-24bc7ec86f4b · outbound

This paper cites Basics of quantum computation.Progress in quantum electronics.

Leveraging Quantum Layers in Classical Neural Networks Basics of quantum computation.Progress in quantum electronics

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:46.892179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.784193Z digest=sha256:69734f2669d544b20e1cff0552795e101e2827249efa730751a0e1e1fe623985

Observation e95ea73a-ab7b-44ec-8af4-29648a446c5b · outbound

This paper cites Quantum error mitigation.Reviews of Modern Physics.

Leveraging Quantum Layers in Classical Neural Networks Quantum error mitigation.Reviews of Modern Physics

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:53:46.679089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.838283Z digest=sha256:e03cbeb77ef8f380907c1bbe74316fc9bafd16035faf6f275a58bc8381c82eee

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

Reference 63

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:30.920051Z digest=sha256:1f1dd3f83d1fe5a78e7bf1586b1e77ff0e3beab4c088f222b36ab3a23e475697

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

Reference 64

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.028052Z digest=sha256:c11f9c4a4071ed791f10bab14ebaa43dc866700845e3999b6fedb233e91f8400

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

Reference 65

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.092531Z digest=sha256:853d5d89fb76439ab72e5af72091d54c36dbbb5bb7eb565e825d63e842c2b896

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

This paper cites Reversible computing.

Leveraging Quantum Layers in Classical Neural Networks Reversible computing

Reference 66

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.147750Z digest=sha256:864056f0f7e50f036f6e38d59d8d8d10eac6b4d6e112f98a7cd7a629674d797c

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

Reference 67

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.198058Z digest=sha256:3eb64d754e6b6f307c7c55f84827a6cc8014db937d3ef2eaa15c3a27a909ac3c

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

Reference 68

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.255112Z digest=sha256:43a95e3df51968bd2d301b0b1cc3cc0b05b88a7d3faac9659ff9a0656dd55e36

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

Reference 69

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.305855Z digest=sha256:c08698cf4af8abe79d97a3f3fbf5ac6968b71a1b1af75823cd3d0923c34ee581

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

Reference 70

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.393962Z digest=sha256:0aca4c27e6410141ea68e2ea2d20c4b36be557934d737805356df7384e7acf6f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.478497Z digest=sha256:f004f3b8276d6ccba7398bf423bdaec2fb8aa7b9e7d060dd6319b32352a03eae

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.537064Z digest=sha256:e5620769381ff0dbc1e2a80a5aac4310ea6990ec00949485fd8f773a82f01019

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

Reference 73

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.588168Z digest=sha256:c6ab3a938c13d3f73ffc1bf961c8f5818152ffc8b9f689ac5ed8179b1dd16920

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

Reference 74

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.645114Z digest=sha256:fa8e5146751ed5c2ab562477e924d372c474003dc214f8459c3c6170f57ff041

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.734042Z digest=sha256:b96eeac9b713c9095c7dba3d7ecdc5d503bbbd17d35dbce8ab146f7040b58a6f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.824562Z digest=sha256:e895d706238b4c6d06e79416e641bef84b223e77bd0d1048b5d11ea0855bcbc1

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

Reference 77

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.911427Z digest=sha256:5b7a62c06882f9ad8ab864232b1909e4be771f126b98942f387da40ec0b5130c

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

Reference 78

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:31.983108Z digest=sha256:e2f19fab294e7f81b58c4026ebc822db3cd29f8272455e84335ab664ad3c6a6d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.061518Z digest=sha256:39b837ed7382453ac78dd938a6bf24e71fcb1fe94cdfac7ed85e7a090a6b034a

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

Reference 80

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.141873Z digest=sha256:cb96114bbd0af548893c05ad2461e1c2f7b2b2c8b971ac16b7fb65df839a4375

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

Reference 81

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.219529Z digest=sha256:3d2b67f0c294ed4760ee87c8407c8897d17d9b2e7169234fb2daec285396aad7

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

Reference 82

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.302134Z digest=sha256:bcd8130a6b8361000b0c4bd9018bfe5c4140b4919a4f8e2b5b9adf7b97853fee

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

Reference 83

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.383255Z digest=sha256:6522a539e595bc033c94ee7d1921fe1ab8e01c09fcb3d699d8f15498f0ae612a

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

Reference 84

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.469801Z digest=sha256:c4b58525227a5971dae0a5234c88f54b2b867d68524d791b0a876b6c095ef3b5

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

Reference 85

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.537842Z digest=sha256:48967d9b27e6afc1fe85d4ad754a83d9006fa383cb7878a6ef7848f25de7fc9f

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

Reference 86

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.637935Z digest=sha256:1279dea03ebec6bb0812acd332c94b2c9f859c0486fec57ddb7750e3c91510ac

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

Reference 87

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.741602Z digest=sha256:476819d9f4da4aada483cc5508efd20bbf1a545bde623f3fb00e75bb174377b0

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

Reference 88

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.808771Z digest=sha256:22dacc2728be93e1e6949d416dd8c544200f11bce7d639080603a250937f30c6

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

Reference 89

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.868600Z digest=sha256:dbf5ab064df2f8a47c7c8bf4a9d12ba830c8175843e62d124d935689f4e85c99

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

Reference 90

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.929818Z digest=sha256:018ff7d4e647e5a0bd2a148816eb93710da3104c58ee147982c06ec5ce2f8eae

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

Reference 91

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:32.968210Z digest=sha256:f09a620881462cf82de1c2d8adfa2099a86a92202e1f0e61dbb6243ad3b056e1

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

This paper cites Logistic regression.

Leveraging Quantum Layers in Classical Neural Networks Logistic regression

Reference 92

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.026061Z digest=sha256:549d4077aa5241b7c04d41c200a513a73e8386ec3d7d0aaa8dd5a7cead546eaf

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

This paper cites MIT press, 1988.

Leveraging Quantum Layers in Classical Neural Networks MIT press, 1988

Reference 93

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.107323Z digest=sha256:8554f120d9ad0240cf998a5e6e51781fbb11648463e64f6d5238ecff623f323e

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

This paper cites Quantum machine learning: a classical perspective.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

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

Reference 94

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.181239Z digest=sha256:6addf13d67c1c23e1134f5fb6236a86b614fcf37929f65e80223cc9481b18e7a

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

Reference 95

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.275948Z digest=sha256:c76ec81b8ceae0d61182834e88ee5ee2ef5c39f4703a51338afe8ceb711af8ec

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

Reference 96

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.352349Z digest=sha256:a6e9913d1c010be3f8ef50b67c23aec09b1e6cbaa58ce193ab0a2a10ac4e03bf

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

Reference 97

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.442251Z digest=sha256:048523c0fe1396ec063496160985bc1e1ab42a8a72244d161a18f8e220fdedd6

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

Reference 98

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.520991Z digest=sha256:c57d1e3e96ad5277703ae8525f87275e4b7a4c172c804055251ef36bf7bd31e7

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

This paper cites Challenges and opportunities in quantum machine learning.Nature computational science.

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

Reference 99

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.596232Z digest=sha256:2b3339d632f6a0d67303f60300efff873366911d203392ec56445c5a4c24ad9e

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)

Reference 100

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:53:33.694272Z digest=sha256:be0b16fedda06b6a7bec850ba1cb581c1a3f935f179f9fa43ebfbc4826710174

Pith citing papers

No inbound Pith citation observations are available.