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Paper Citation Record · LEDGER

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2507.03518.

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

pith.paper-citation-record.v1
2507.03518 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:15:21.872163Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T18:24:36.819592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:24:59.978739Z

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation afcd7c3d-13cd-4727-a620-b67f686f9308 · outbound

This paper cites Flat optics with designer metasurfaces.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Flat optics with designer metasurfaces

Reference 1

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Observation bda818e4-0091-4500-9123-3bf76dc72dbf · outbound

This paper cites Planar photonics with metasurfaces.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Planar photonics with metasurfaces

Reference 2

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Observation bf16831f-8ed2-47aa-8f6f-78bba3e0e4c8 · outbound

This paper cites Directional scattering switching from an all-dielectric phase change metasurface.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Directional scattering switching from an all-dielectric phase change metasurface

Reference 3

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Observation 0ebfac0b-c62c-4b72-b41c-dbcabe7200b4 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 4

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Observation 72427e3d-7c74-4bf5-9821-3fad872c0415 · outbound

This paper cites Overvig, Sander A.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Overvig, Sander A

Reference 5

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Observation b49a6afa-2803-4b6e-a4fc-51c1482670ca · outbound

This paper cites Controlling thermal emission with metasurfaces and its applications.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Controlling thermal emission with metasurfaces and its applications

Reference 6

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 52c849ec-ab94-4075-80f2-ae4414f6fba8 · outbound

This paper cites Recent advances in planar optics: from plasmonic to dielectric metasurfaces.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Recent advances in planar optics: from plasmonic to dielectric metasurfaces

Reference 7

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Observation 16bed626-153a-4395-9ee5-d58403898754 · outbound

This paper cites Computational scaling in inverse photonic design through factorization caching.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Computational scaling in inverse photonic design through factorization caching

Reference 8

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Observation 6b417dcb-5464-4ae4-a397-3effa2cd7544 · outbound

This paper cites Inverse design in nanophotonics.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Inverse design in nanophotonics

Reference 9

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Observation c816f8dd-6179-4639-9fdc-b5e5a2aa78fc · outbound

This paper cites Global optimization of dielectric metasurfaces using a physics-driven neural network.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Global optimization of dielectric metasurfaces using a physics-driven neural network

Reference 10

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Observation defcba44-b65a-48a4-afcc-3eab701d2572 · outbound

This paper cites Knight, and Aaswath P.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Knight, and Aaswath P

Reference 11

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Observation beeaa4dd-8189-49a3-98c5-62ffb1634a46 · outbound

This paper cites Training deep neural networks for the inverse design of nanophotonic structures.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Training deep neural networks for the inverse design of nanophotonic structures

Reference 12

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Observation c02740b1-eb61-4877-94ab-9adc916b71d4 · outbound

This paper cites Deep learning enabled inverse design in nanophotonics.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Deep learning enabled inverse design in nanophotonics

Reference 13

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Observation bc58be63-7e98-4d8b-b3e0-d889414239e7 · outbound

This paper cites Inverse molecular design using machine learning: Genera- tive models for matter engineering.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Inverse molecular design using machine learning: Genera- tive models for matter engineering

Reference 14

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Observation e3c609b5-1543-4100-9d0b-e7cabfe87c9a · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 15

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Observation e2c579c3-56bd-4ca4-a3d0-baa3ab824287 · outbound

This paper cites Deep-learning-enabled fast optical identification and characterization of 2d materials.Advanced Materials, 32(29), 2020.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Deep-learning-enabled fast optical identification and characterization of 2d materials.Advanced Materials, 32(29), 2020

Reference 16

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Observation 0eba4134-3987-437e-a77d-70ce60408de9 · outbound

This paper cites Simultaneous inverse design of materials and structures via deep learning: Demonstration of dipole resonance engineering using core–shell nanoparticles.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Simultaneous inverse design of materials and structures via deep learning: Demonstration of dipole resonance engineering using core–shell nanoparticles

Reference 17

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Observation 723ca58d-cb0d-495c-96eb-4d3c0098bc0a · outbound

This paper cites Adversarial autoencoders,.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Adversarial autoencoders,

Reference 18

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Observation fef324c6-0381-43a2-8d12-a0258e3abc98 · outbound

This paper cites Mode collapse in generative adversarial networks: An overview.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Mode collapse in generative adversarial networks: An overview

Reference 19

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Observation f8149e0d-d7a3-4872-99e4-463b15bfcf48 · outbound

This paper cites Challenges and opportunities in quantum machine learning.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Challenges and opportunities in quantum machine learning

Reference 20

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Observation c13e2433-51cd-4322-94b4-eb6aaca426b2 · outbound

This paper cites Unsupervised semantic-preserving adversarial hashing for image search.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unsupervised semantic-preserving adversarial hashing for image search

Reference 21

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Observation df7c226c-3f85-47f2-82e7-12d1fba59221 · outbound

This paper cites Quantum Computing in the NISQ Era and Beyond.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Quantum Computing in the NISQ Era and Beyond

Reference 22

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Observation 82a9a427-c930-4a31-be49-96ac5054da97 · outbound

This paper cites Quantum generative adversarial learning.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Quantum generative adversarial learning

Reference 23

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Observation 962b4420-fc50-48c5-a180-6502cdcc5be4 · outbound

This paper cites Quantum generative adversarial networks.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Quantum generative adversarial networks

Reference 24

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Observation aede3b92-3708-431b-832f-6307c962dfe5 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 25

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Observation d5b3165a-a8b8-4266-993a-673b6f7b9810 · outbound

This paper cites Perceptual adversarial networks for image-to-image transformation.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Perceptual adversarial networks for image-to-image transformation

Reference 26

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Observation 307d7356-6582-4696-898a-f07544961dde · outbound

This paper cites Sainath, Oriol Vinyals, Andrew Senior, and Hasim Sak.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Sainath, Oriol Vinyals, Andrew Senior, and Hasim Sak

Reference 27

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Observation 56202671-dbed-474f-ac0d-e1da0f8734eb · outbound

This paper cites Convex Optimization.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Convex Optimization

Reference 28

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Observation b9a38f2e-8895-43a4-b94e-635310ad0eb0 · outbound

This paper cites Self-Attention Generative Adversarial Networks.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Self-Attention Generative Adversarial Networks

Reference 29

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Observation c36ff5b4-9ac2-4d1c-9e9a-c07237579290 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 30

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Observation 7b468eb4-29e9-4bd1-b688-6b696e5cd4ce · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Spectral Normalization for Generative Adversarial Networks

Reference 31

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Observation 13d0f3cf-84b4-4e2a-8676-1b5fad4b7aa5 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 32

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Observation f42a1c84-2685-4786-a34f-34b8b12b5067 · outbound

This paper cites DCGAN Tutorial – PyTorch Tutorials.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission DCGAN Tutorial – PyTorch Tutorials

Reference 33

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Observation 5e83a6fd-2772-4b22-ba2b-12b534d1862e · outbound

This paper cites Latent Style-based Quantum GAN for high-quality Image Generation.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Latent Style-based Quantum GAN for high-quality Image Generation

Reference 34

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Observation ce22d89e-94f7-469c-8d5d-66742e6bb285 · outbound

This paper cites Auto-Encoding Variational Bayes.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Auto-Encoding Variational Bayes

Reference 35

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source=pdf_text observed=2026-08-06T20:15:20.470695Z digest=sha256:104b74c059838511df519c5287203474fa24db732dc9df83ad77716d4220b636

Observation f6ddedf3-fce6-4fa5-9c10-97ef1b73b9d2 · outbound

This paper cites Experimental Quantum Generative Adversarial Networks for Image Generation.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Experimental Quantum Generative Adversarial Networks for Image Generation

Reference 36

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source=pdf_text observed=2026-08-06T20:15:20.552099Z digest=sha256:8c8dbc48f9e64b3d22e298d47acefcbdd05347608090c90dad7234f58b731af5

Observation 0b3119c7-9d58-4936-b989-910a200777f9 · outbound

This paper cites CST Microwave STUDIO SUITE ®, 2019.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission CST Microwave STUDIO SUITE ®, 2019

Reference 37

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source=pdf_text observed=2026-08-06T20:15:20.619570Z digest=sha256:197a2194c7d679998fe3090aa7512704a528d8bf5d7e68e351ae0eba7b19e031

Observation 6f441708-5078-4eb0-8337-b1dcdeb772e1 · outbound

This paper cites Kim, Lakshmi Raju, and Wenshan Cai.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Kim, Lakshmi Raju, and Wenshan Cai

Reference 38

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raw_fallback, observed 2026-08-06T20:15:24.524741Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:20.674613Z digest=sha256:1b58cf0af326ce09ae33400bd760f757c59eec781d5816aed3516d7d342f7f13

Observation 8017f916-e1e6-45d5-8d8f-5c2c6d6c97e9 · outbound

This paper cites Designing nanophotonic structures using conditional deep convolutional generative adversarial networks.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Designing nanophotonic structures using conditional deep convolutional generative adversarial networks

Reference 39

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raw_fallback, observed 2026-08-06T20:15:24.290410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:20.736331Z digest=sha256:3d46f656d19a67924328d3db08643fb7ad4de1949476d45a410999fe36614984

Observation 274bb2dc-e979-4a77-94a9-c19237120c66 · outbound

This paper cites COMSOL Multiphysics® v.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission COMSOL Multiphysics® v

Reference 40

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raw_fallback, observed 2026-08-06T20:15:24.011391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:20.807908Z digest=sha256:73aa3c1c4e351a3667cd39bb70874644aaacaa3edb2efd85b8693b19e5c47b10

Observation d632bf31-37d3-4950-b7f4-31243684c958 · outbound

This paper cites beta-V AE: Learning Basic Visual Concepts with a Constrained Variational Framework.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission beta-V AE: Learning Basic Visual Concepts with a Constrained Variational Framework

Reference 41

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raw_fallback, observed 2026-08-06T20:15:23.790773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:20.896139Z digest=sha256:89eebff2c4ddbd10cc3f39edae87529c657a89d73c3d3a997ac36b7e5b0775d1

Observation dc902351-aca6-404a-870c-a7bfbe80ab43 · outbound

This paper cites Importance Weighted Autoencoders.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Importance Weighted Autoencoders

Reference 42

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source=pdf_text observed=2026-08-06T20:15:20.978030Z digest=sha256:959185a48fdc3316e2de298de69a598d34f6d1d0eecfee0045f6b43887ec9d07

Observation f75c5358-4c17-4e08-b318-4696135e695e · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 43

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raw_fallback, observed 2026-08-06T20:15:23.568777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:21.043069Z digest=sha256:cfce0193d4dd4f32d7d9d10487560d96b07e7c94ea43c75573a3f65c2a148232

Observation 5a4216a1-c95e-4dc0-b0db-dfeb89850c3a · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:21.103486Z digest=sha256:e6f38e210944e071e07256bdbb7a7854bcb46cee4891608445df1b7783ce3f41

Observation eded2365-a164-4728-9994-b1b6f155d53e · outbound

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

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 45

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source=pdf_text observed=2026-08-06T20:15:21.165175Z digest=sha256:dda3a4be4015ab0986b7fdead9285ce7b77e604c129f6c903ecef27a28151640

Observation 118b8957-a859-41c3-9aa9-5bdad80e50e0 · outbound

This paper cites Grabowska, and Stefano Carrazza.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Grabowska, and Stefano Carrazza

Reference 46

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source=pdf_text observed=2026-08-06T20:15:21.238242Z digest=sha256:816682c08b7935fe68dcb9a6aea88d87816e62a747ab31965e038423cae49a4d

Observation f151f6ef-688a-46ad-9803-b757d9c82e70 · outbound

This paper cites Variational quantum algorithms.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Variational quantum algorithms

Reference 47

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source=pdf_text observed=2026-08-06T20:15:21.299986Z digest=sha256:def14709844ee504678a6edec8cf17952f66f9c68bef2cd46f7de89e997bc51a

Observation 10e24a38-ed79-47a0-a7c3-b6f69d6c0f14 · outbound

This paper cites Love, Alán Aspuru- Guzik, and Jeremy L.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Love, Alán Aspuru- Guzik, and Jeremy L

Reference 48

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source=pdf_text observed=2026-08-06T20:15:21.380955Z digest=sha256:541105bdc245fb79d2356837d0c30ae20eb9d60c012a70284be0f382ceb2be03

Observation bc78478b-a8aa-4f44-9386-232d9275f74a · outbound

This paper cites Classical and Quantum Algorithms for Orthogonal Neural Networks.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Classical and Quantum Algorithms for Orthogonal Neural Networks

Reference 49

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source=pdf_text observed=2026-08-06T20:15:21.460404Z digest=sha256:bbabd83ea099983c87484954a57140586ef9171febb476a492f2fc612beac98c

Observation 1a4f0667-ae73-4aff-a76e-755438db391d · outbound

This paper cites Reluplex made more practical: Leaky ReLU.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Reluplex made more practical: Leaky ReLU

Reference 50

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source=pdf_text observed=2026-08-06T20:15:21.547948Z digest=sha256:bd69aa321d954664a2155296f33a0f95add32e5e22ac6c99c629b64bfd9000ec

Observation e1317eed-372e-46e6-9b01-679f74f6bab4 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Approximation by superpositions of a sigmoidal function

Reference 51

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source=pdf_text observed=2026-08-06T20:15:21.605520Z digest=sha256:b19737ca121004582bc511e9f247b5fa36a99928655f13228d450513d5b39a04

Observation 9d7163b5-eea3-4210-8652-dcec1b79a0f9 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 52

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:21.681730Z digest=sha256:67fa026126bda55f124a881c2ff5fba38e8cf9aa3060d100113770f2582cb8fb

Observation 8017b54e-bbcc-49e2-b27f-723b3e82d1e5 · outbound

This paper cites Polarization and incident angle independent multifunctional and multiband tunable thz metasurface based on VO2.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Polarization and incident angle independent multifunctional and multiband tunable thz metasurface based on VO2

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:22.666011Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:21.750979Z digest=sha256:1adb1fccbf517a89aea904c94de124d84e782fc816718293324bfa27528bd60d

Observation 71a98676-c5bc-4390-820f-801c2ee19e36 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Unresolved cited work

Reference 54

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:21.807557Z digest=sha256:4cfc9ffff12295abced1777b9336572475c899179b31cdf74071d6c61c03c90e

Observation 4f8cc742-4cce-4be5-8ca1-e0b49d8aa7fc · outbound

This paper cites Reference air mass 1.5 spectra.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Reference air mass 1.5 spectra

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:22.167774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:15:21.872163Z digest=sha256:dba24f32b05a2ce185117027f3500a996a4c29bb464be986c9a7cc195cc8c783

Observation 7caa3121-9c9b-4122-af3e-bf01517c8f7f · outbound

This paper cites Adversarial Autoencoders.

Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Adversarial Autoencoders

Reference 2015

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:15:18.580599Z digest=sha256:88980bb8f521861aa36434f39c4c86ceb37d6682f79826cd1e13efa2c441c098

Pith citing papers

Observation 3a4a6efd-c68b-4f75-adab-6822a4197266 · inbound

Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers cites this paper.

Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission

Reference 57

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arxiv_id, observed 2026-05-20T05:28:04.661055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T05:26:34.296870Z digest=sha256:844f4271ff525d4ec018a2c504ac8fabe08d6370324aec853042eab9074bf0b4

Observation 2ff444ea-c008-4480-b4b6-efbd5608c363 · inbound

Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers cites this paper.

Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission

Reference 57

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verified exact
arxiv_id, observed 2026-06-30T18:24:59.980277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T18:24:36.819592Z digest=sha256:bc2ff7a273b3d049d974dca8f60c5c80400b25d7aab1023d08194b9ec0b0b7f8