Cover Image

Scalable bayesian shadow tomography for quantum property estimation with set transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cha, Hyunho, Kim, Wonjung, Lee, Jungwoo
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient sampling for Pauli-measurement-based shadow tomography in direct fidelity estimation
by: Cha, Hyunho, et al.
Published: (2025)

End-to-End Neural and Quantum Transcoding for Compressed Latent Representation under Channel Noise
by: Cha, Hyunho, et al.
Published: (2026)

Re-uploading quantum data: A universal function approximator for quantum inputs
by: Cha, Hyunho, et al.
Published: (2025)

Operator-aware shadow importance sampling for accurate fidelity estimation
by: Cha, Hyunho, et al.
Published: (2025)

Binary integer programming for optimizing ebit cost in distributed quantum circuits with fixed module allocation
by: Cha, Hyunho, et al.
Published: (2025)

Towards Optimizing the Expected Performance of Sampling-Based Quantum-Inspired Algorithms
by: Cha, Hyunho, et al.
Published: (2025)

Structural Perspectives from Quantum States and Measurements in Optimal State Discrimination
by: Cha, Hyunho, et al.
Published: (2025)

Optimal algorithms for materializing stabilizer states and Clifford gates from compact descriptions
by: Cha, Hyunho, et al.
Published: (2026)

Counting anticommuting Pauli pairs in linear time
by: Cha, Hyunho, et al.
Published: (2026)

Online Estimation of Partial Transpose Moments via Fast Classical Updates
by: Cha, Hyunho, et al.
Published: (2026)

Spectral Minimax Direct Fidelity Estimation for Generic Target States
by: Cha, Hyunho, et al.
Published: (2026)

Verifying random matrix product states with autoregressive local measurements
by: Cha, Hyunho, et al.
Published: (2026)

Toward the Goldilocks blind compression of quantum states
by: Cha, Hyunho, et al.
Published: (2026)

QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
by: Koo, Inhoe, et al.
Published: (2026)

CPDNN quantum channels with qubit output are CPCP
by: Cha, Hyunho
Published: (2026)

Adaptivity can help exponentially for shadow tomography
by: Chen, Sitan, et al.
Published: (2024)

Non-existence of stabilizer absolutely maximally entangled states across infinitely many configurations
by: Cha, Hyunho
Published: (2026)

CHSH inequality always holds in bipartite qutrits with spin-1 observables
by: Cha, Hyunho
Published: (2026)

A dimension-independent strict submultiplicativity for the transposition map in diamond norm
by: Cha, Hyunho
Published: (2026)

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning
by: Candelori, Luca, et al.
Published: (2024)

Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach
by: Chen, Senrui, et al.
Published: (2026)

Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows
by: Ito, Kosuke, et al.
Published: (2026)

Krylov shadow tomography: Efficient estimation of quantum Fisher information
by: Zhang, Da-Jian, et al.
Published: (2025)

Optimal high-precision shadow estimation
by: Chen, Sitan, et al.
Published: (2024)

Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
by: Wadhwa, Harsh, et al.
Published: (2026)

Scalable quantum dynamics compilation via quantum machine learning
by: Zhang, Yuxuan, et al.
Published: (2024)

Principal eigenstate classical shadows
by: Grier, Daniel, et al.
Published: (2024)

Optimising quantum tomography via shadow inversion
by: Caprotti, Andrea, et al.
Published: (2024)

Superiority of Krylov shadow tomography in estimating quantum Fisher information: From bounds to exactness
by: Wang, Yuan-Hao, et al.
Published: (2026)

Learning spatially structured open quantum dynamics with regional-attention transformers
by: Du, Dounan, et al.
Published: (2025)

Architectures and random properties of symplectic quantum circuits
by: García-Martín, Diego, et al.
Published: (2024)

Sample-optimal classical shadows for pure states
by: Grier, Daniel, et al.
Published: (2022)

Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
by: Lee, Changwon, et al.
Published: (2025)

Multi-channel convolutional neural quantum embedding
by: Kim, Yujin, et al.
Published: (2025)

Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks
by: Holzer, Patrick, et al.
Published: (2024)

Expressivity of deterministic quantum computation with one qubit
by: Kim, Yujin, et al.
Published: (2024)

Scalable linearized gate set tomography
by: Miller, Ashe, et al.
Published: (2026)

Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimation
by: Chen, Sitan, et al.
Published: (2024)

Tomography of Quantum States from Structured Measurements via quantum-aware transformer
by: Ma, Hailan, et al.
Published: (2023)

Triply efficient shadow tomography
by: King, Robbie, et al.
Published: (2024)