Cover Image

The Efficiency Frontier: Classical Shadows versus Quantum Footage

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Shuowei, Liu, Junyu
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
by: Li, Pingzhi, et al.
Published: (2024)

A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
by: Wang, Yunfei, et al.
Published: (2024)

An Analytic Theory of Quantum Imaginary Time Evolution
by: Chen, Min, et al.
Published: (2025)

Quantum Data Center: Perspectives
by: Liu, Junyu, et al.
Published: (2023)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
by: Goh, Kun Ming
Published: (2025)

Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation
by: Cheng, Jinglei, et al.
Published: (2024)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
by: Hasan, Mohammad Junayed, et al.
Published: (2023)

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
by: Li, Pingzhi, et al.
Published: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

Toward Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU($d$) Symmetry
by: Zheng, Han, et al.
Published: (2022)

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits
by: Li, Yuqing, et al.
Published: (2024)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
by: Wang, Haoran, et al.
Published: (2024)

Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
by: Wang, Xinbiao, et al.
Published: (2024)

Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
by: Chen, Min, et al.
Published: (2025)

QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)

QARIMA: A Quantum Approach To Classical Time Series Analysis
by: Mohanty, Nishikanta, et al.
Published: (2026)

Laziness, Barren Plateau, and Noise in Machine Learning
by: Liu, Junyu, et al.
Published: (2022)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
by: Chen, Yixiong
Published: (2026)

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
by: He, Haoqi, et al.
Published: (2025)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
by: Alavia, Azadeh, et al.
Published: (2025)

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
by: Kamei, Suzukaze, et al.
Published: (2025)

On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks
by: Zhao, Hanyu, et al.
Published: (2026)

Quantum Power Flows: From Theory to Practice
by: Liu, Junyu, et al.
Published: (2022)

Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024)

Beyond MD17: the reactive xxMD dataset
by: Pengmei, Zihan, et al.
Published: (2023)

Hybrid Quantum-Classical Recurrent Neural Networks
by: Xu, Wenduan
Published: (2025)

Fundamental causal bounds of quantum random access memories
by: Wang, Yunfei, et al.
Published: (2023)

Unifying O(3) Equivariant Neural Networks Design with Tensor-Network Formalism
by: Li, Zimu, et al.
Published: (2022)

Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026)

LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
by: Vieloszynski, Alexis, et al.
Published: (2024)

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method
by: He, Haoqi, et al.
Published: (2025)

Batch Entanglement Detection in Parameterized Qubit States using Classical Bandit Algorithms
by: Bharati, K., et al.
Published: (2024)

Improved Offline Reinforcement Learning via Quantum Metric Encoding
by: Lv, Outongyi, et al.
Published: (2025)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization
by: Li, Wenxin, et al.
Published: (2026)

Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)

Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification
by: Yurtseven, Ece
Published: (2025)

A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model
by: Ambainis, Andris, et al.
Published: (2025)