Paper Citation Record · LEDGER

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.09625.

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

pith.paper-citation-record.v1
2608.09625 v2

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation a40d3999-9b36-4ea9-a6ff-a965a61cf887 · outbound

This paper cites The diagonal of the multiplihedra and the tensor product of A-infinity morphisms.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography The diagonal of the multiplihedra and the tensor product of A-infinity morphisms

Reference 1

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Observation 540393d3-b101-4709-9d37-60ba69ecba10 · outbound

This paper cites De- noising diffusion models for quantum state tomography.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography De- noising diffusion models for quantum state tomography

Reference 2

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Observation 575d8175-1899-4eb5-830d-192eccac5ead · outbound

This paper cites Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection

Reference 3

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Observation c856e44b-e5aa-4cfd-87a1-14de8ae03ede · outbound

This paper cites The the- ory of variational hybrid quantum-classical algorithms.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography The the- ory of variational hybrid quantum-classical algorithms

Reference 4

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Observation 81b98808-877f-45a6-99d9-1b564d4b03c8 · outbound

This paper cites Parameterized quantum circuits as machine learning mod- els.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Parameterized quantum circuits as machine learning mod- els

Reference 5

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Observation 2cd8e90e-3331-4e41-aa1e-bbadc7b3003b · outbound

This paper cites Quan- tum state tomography with regularized lin- ear estimation.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quan- tum state tomography with regularized lin- ear estimation

Reference 6

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Observation c6d54898-0837-439a-9de2-60adcfdc8964 · outbound

This paper cites Elucidating the design space of diffusion-based generative models (EDM).

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Elucidating the design space of diffusion-based generative models (EDM)

Reference 7

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Observation 936f7f5e-b4c0-4409-a404-9d35863856fb · outbound

This paper cites Classifier-Free Diffusion Guidance.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Classifier-Free Diffusion Guidance

Reference 8

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Observation 3224c0bb-fa34-4c42-99bb-c1f2a2ea21b6 · outbound

This paper cites Efficient method for comput- ing the maximum likelihood quantum state from measurements with additive Gaus- sian noise.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Efficient method for comput- ing the maximum likelihood quantum state from measurements with additive Gaus- sian noise

Reference 9

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Observation e8207999-d062-4ce4-83a0-57f0558b1f8a · outbound

This paper cites Information geometry and its applications.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Information geometry and its applications

Reference 10

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Observation 52d91312-e556-453e-83e6-465b0be0ebdc · outbound

This paper cites Quantum natural gra- dient.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum natural gra- dient

Reference 11

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Observation 43290acc-c0f5-420a-9de2-0e636332fae4 · outbound

This paper cites Geometry of quantum states: An introduc- tion to quantum entanglement.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Geometry of quantum states: An introduc- tion to quantum entanglement

Reference 12

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Observation d9f097b4-fe2c-42a8-8d4c-115cb0481e8c · outbound

This paper cites Geometries of quantum states.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Geometries of quantum states

Reference 13

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Observation 231a6a9e-2747-4ea7-b939-9191ad2dffad · outbound

This paper cites A geometric perspective on quantum parame- ter estimation.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography A geometric perspective on quantum parame- ter estimation

Reference 14

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Observation 5ecf3794-3427-4163-9d48-71be9e18d5b6 · outbound

This paper cites Quantum estimation for quantum technology.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum estimation for quantum technology

Reference 15

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Observation 3556a175-ee37-438c-86b3-aca6e29fba59 · outbound

This paper cites Cost function dependent barren plateaus in shal- low parameterized quantum circuits.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Cost function dependent barren plateaus in shal- low parameterized quantum circuits

Reference 16

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Observation a6ab6a59-d9e2-4b10-9a7b-ae2f7e7a0e95 · outbound

This paper cites Diagnosing barren plateaus with tools from quantum op- timal control.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Diagnosing barren plateaus with tools from quantum op- timal control

Reference 17

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Observation 9ffbe190-0857-4cdf-8326-ebf05959bcbf · outbound

This paper cites Completely positive linear maps on complex matrices.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Completely positive linear maps on complex matrices

Reference 18

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This paper cites Linear transfor- mations which preserve trace and positive semidefiniteness of operators.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Linear transfor- mations which preserve trace and positive semidefiniteness of operators

Reference 19

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Observation abe6ce4f-c2e8-4611-9d1a-5ea0052f5f34 · outbound

This paper cites A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion

Reference 20

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Observation 295f82e5-68a8-43fc-b98b-f34f1a5c5345 · outbound

This paper cites Quantum state tomography via compressed sensing.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum state tomography via compressed sensing

Reference 21

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Observation 8217cce3-fbdd-4a26-8617-44acde52659e · outbound

This paper cites Universal low-rank ma- trix recovery from pauli measurements.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Universal low-rank ma- trix recovery from pauli measurements

Reference 22

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Observation 1ebfc359-3d67-4ced-862c-2549b37e46ad · outbound

This paper cites The quantum geometric tensor.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography The quantum geometric tensor

Reference 23

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Observation 023e1850-e404-4ac2-acff-61f49ecdf946 · outbound

This paper cites Quantum neural tangent kernel.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum neural tangent kernel

Reference 24

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This paper cites Bloch vector forn-level systems.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Bloch vector forn-level systems

Reference 25

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Observation 5ced5b5f-ba89-4ab9-9f24-52e8cfd91f03 · outbound

This paper cites Quan- tum state tomography with generative ad- versarial networks.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quan- tum state tomography with generative ad- versarial networks

Reference 26

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Observation 9df82c19-48a5-4a23-9d8e-e0fc951c5dd3 · outbound

This paper cites Riemannian diffusion models.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Riemannian diffusion models

Reference 27

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This paper cites Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network

Reference 28

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Observation b96a862e-f105-47d0-a636-0cd24ab8620f · outbound

This paper cites Variational inference with normaliz- ing flows.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Variational inference with normaliz- ing flows

Reference 29

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Observation c649449f-b0a4-43bf-8cd2-74aba28cafe0 · outbound

This paper cites Variational diffusion models.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Variational diffusion models

Reference 30

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This paper cites Flow Matching for Generative Modeling.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Flow Matching for Generative Modeling

Reference 31

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Observation 9db559b7-48a8-438d-8981-cc9b726b57a6 · outbound

This paper cites Gen- erative modeling by estimating gra- dients of the data distribution.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Gen- erative modeling by estimating gra- dients of the data distribution

Reference 32

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Observation 25354565-0707-41e3-80a7-93f74ac10bdf · outbound

This paper cites Consistencymodels.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Consistencymodels

Reference 33

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Observation 5b46c32f-6e5a-4768-bec4-66986de0e1d9 · outbound

This paper cites Quantum to- mography.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum to- mography

Reference 34

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Observation 98033d94-4a3c-473d-898d-53a7680c55e3 · outbound

This paper cites Quan- tum state estimation.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quan- tum state estimation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:19:32.142075Z

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This paper cites Continuous- variable quantum-state tomography of sin- gle photons and atoms.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Continuous- variable quantum-state tomography of sin- gle photons and atoms

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:19:32.110984Z

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Observation a59d68e9-4171-4edf-adf7-127d466df135 · outbound

This paper cites Denoising diffusion probabilistic models.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Denoising diffusion probabilistic models

Reference 37

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Observation f4d69d8b-10ee-463e-81ba-5627e5fc4382 · outbound

This paper cites Quantum machine learn- ing.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum machine learn- ing

Reference 38

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Observation 94385e66-b925-412e-bfef-bd5ab78ddb8d · outbound

This paper cites Quantum machine learning and the geom- etry of Hilbert space.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Quantum machine learning and the geom- etry of Hilbert space

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:19:32.028739Z

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This paper cites Experimental evidence for bounds on quantum correlations.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Experimental evidence for bounds on quantum correlations

Reference 40

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Observation f64a39ab-c466-4c81-ae6d-5121fb23c7b4 · outbound

This paper cites The complex-step deriva- tive approximation.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography The complex-step deriva- tive approximation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:19:32.015590Z

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This paper cites Accuracy and stability of numerical algorithms.

A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography Accuracy and stability of numerical algorithms

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:19:31.831980Z

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