Paper Citation Record · LEDGER

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

As of 10 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.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:26.418539Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:25.946318Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:17.407846Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:25.743425Z

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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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:25.588904Z

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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:25.124056Z

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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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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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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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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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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:24.524741Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:24.290410Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:15:24.011391Z

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

Reference 42

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

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

Reference 44

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

Reference 47

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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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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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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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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-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:15:22.976378Z

Source-reported events for the cited work

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

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

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

Source-reported events for the cited work

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

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

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:15:22.403419Z

Source-reported events for the cited work

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

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

Resolution: 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 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:18.580599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-10T06:31:04.303077+00:00.

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

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

Reference 57

Resolution: 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 2026-08-10T06:31:04.303077+00:00.