Image de couverture de livre

Quantum Walks on Simplicial Complexes and Harmonic Homology: Application to Topological Data Analysis with Superpolynomial Speedups

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hayakawa, Ryu, Chen, Kuo-Chin, Hsieh, Min-Hsiu
Format:	Preprint
Publié:	2024
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Quantum Speedups for Multiproposal MCMC
par: Lin, Chin-Yi, et autres
Publié: (2023)

Computational Complexity of Learning Efficiently Generatable Pure States
par: Hiroka, Taiga, et autres
Publié: (2024)

Tuning for Quantum Speedup in Directed Lackadaisical Quantum Walks
par: Naredi, Pranay, et autres
Publié: (2022)

Characterizing the Burst Error Correction Ability of Quantum Cyclic Codes
par: Fan, Jihao, et autres
Publié: (2025)

Simplified Quantum Weight Reduction with Optimal Bounds
par: Hsieh, Min-Hsiu, et autres
Publié: (2025)

Tradeoff Constructions for Quantum Locally Testable Codes
par: Wills, Adam, et autres
Publié: (2023)

Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy
par: Chia, Nai-Hui, et autres
Publié: (2024)

Benchmarking Quantum Simulation Methods
par: Ku, Calvin, et autres
Publié: (2025)

Geometrically Local Quantum and Classical Codes from Subdivision
par: Lin, Ting-Chun, et autres
Publié: (2023)

Partial Equivalence Checking of Quantum Circuits
par: Chen, Tian-Fu, et autres
Publié: (2022)

Hardness of Quantum Distribution Learning and Quantum Cryptography
par: Hiroka, Taiga, et autres
Publié: (2025)

Quantum Optimization for Training Quantum Neural Networks
par: Liao, Yidong, et autres
Publié: (2021)

Mixed Quantum-Classical Dynamics Yields Anharmonic Rabi Oscillations
par: Hsieh, Ming-Hsiu, et autres
Publié: (2025)

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
par: Du, Yuxuan, et autres
Publié: (2024)

One-Shot Distributed Source Simulation: As Quantum as it Can Get
par: George, Ian, et autres
Publié: (2023)

Optimizing Quantum Chemistry Simulations with a Hybrid Quantization Scheme
par: Ku, Calvin, et autres
Publié: (2025)

Transform Arbitrary Good Quantum LDPC Codes into Good Geometrically Local Codes in Any Dimension
par: Li, Xingjian, et autres
Publié: (2024)

A Neural-Guided Variational Quantum Algorithm for Efficient Sign Structure Learning in Hybrid Architectures
par: Ren, Mengzhen, et autres
Publié: (2025)

VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
par: Qi, Jun, et autres
Publié: (2025)

Constant-Overhead Magic State Distillation
par: Wills, Adam, et autres
Publié: (2024)

Efficient Algorithms for All Port-Based Teleportation Protocols
par: Wills, Adam, et autres
Publié: (2023)

Exponential Quantum Speedup for Simulation-Based Optimization Applications
par: Stein, Jonas, et autres
Publié: (2023)

Training Classical Neural Networks by Quantum Machine Learning
par: Liu, Chen-Yu, et autres
Publié: (2024)

Linear-Time Encodable and Decodable Quantum Error-Correcting Codes
par: Wills, Adam, et autres
Publié: (2026)

Focused Sampling for Low-Cost and Accurate Ehrenfest Modeling of Cavity Quantum Electrodynamics
par: Hsieh, Ming-Hsiu, et autres
Publié: (2025)

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
par: Zhang, Kaining, et autres
Publié: (2022)

Speedup Chip Yield Analysis by Improved Quantum Bayesian Inference
par: Li, Zi-Ming, et autres
Publié: (2025)

Hybrid Quantum-Classical Clustering for Preparing a Prior Distribution of Eigenspectrum
par: Ren, Mengzhen, et autres
Publié: (2024)

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
par: Liu, Chen-Yu, et autres
Publié: (2024)

Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
par: Liu, Chen-Yu, et autres
Publié: (2024)

Quantum Decoding Algorithms: Quantum Speedups in Optimization
par: Ljubas, Jan, et autres
Publié: (2026)

The Physical and Contextual Limits of Quantum Speedup
par: Svozil, Karl
Publié: (2026)

Quadratic Quantum Speedup for Perceptron Training
par: Liao, Pengcheng, et autres
Publié: (2021)

Complexity-Theoretic Limitations on Quantum Algorithms for Topological Data Analysis
par: Schmidhuber, Alexander, et autres
Publié: (2022)

Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits
par: Qi, Jun, et autres
Publié: (2026)

Universal classical-quantum channel resolvability and private channel coding
par: Matsuura, Takaya, et autres
Publié: (2025)

Realizing Topological Quantum Walks on NISQ Digital Quantum Computer
par: Giri, Mrinal Kanti, et autres
Publié: (2024)

Characterizing Space-Constrained Implementability of Quantum Instruments via Signaling Conditions
par: Matsui, Kosuke, et autres
Publié: (2025)

QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train
par: Liu, Chen-Yu, et autres
Publié: (2024)

Quantum Speedup for Nonreversible Markov Chains
par: Claudon, Baptiste, et autres
Publié: (2025)