Imagen de Portada

Detecting Quantum and Classical Phase Transitions via Unsupervised Machine Learning of the Fisher Information Metric

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kasatkin, Victor, Mozgunov, Evgeny, Ezzell, Nicholas, Lidar, Daniel
Formato:	Preprint
Publicado:	2024
Materias:	Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ClassiFIM: An Unsupervised Method To Detect Phase Transitions
por: Kasatkin, Victor, et al.
Publicado: (2024)

Quantum adiabatic theorem for unbounded Hamiltonians with a cutoff and its application to superconducting circuits
por: Mozgunov, Evgeny, et al.
Publicado: (2020)

Demonstration of Exponential Quantum Speedup with Constant-Depth Compiled Circuits for Simon's Problem
por: Singkanipa, Phattharaporn, et al.
Publicado: (2026)

Quantum Error Correction and Dynamical Decoupling: Better Together or Apart?
por: Kasatkin, Victor, et al.
Publicado: (2026)

Unsupervised Machine Learning for Experimental Detection of Quantum-Many-Body Phase Transitions
por: Ziv, Ron, et al.
Publicado: (2025)

Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem
por: Singkanipa, P., et al.
Publicado: (2024)

Digital-Analog-Digital Quantum Supremacy
por: Lidar, Daniel
Publicado: (2025)

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
por: Haug, Tobias, et al.
Publicado: (2023)

Demonstration of High-Fidelity Entangled Logical Qubits using Transmons
por: Vezvaee, Arian, et al.
Publicado: (2025)

Universal Long-Time Behavior of the Quantum Fisher Information in Dynamical Quantum Phase Transitions
por: Mumford, J., et al.
Publicado: (2025)

Unsupervised Detection of Topological Phase Transitions with a Quantum Reservoir
por: Xin, Li, et al.
Publicado: (2025)

Applications and resource estimates for open system simulation on a quantum computer
por: Mozgunov, Evgeny, et al.
Publicado: (2024)

Quantum Property Preservation
por: Saurav, Kumar, et al.
Publicado: (2024)

Real-time Sign-Problem-Suppressed Quantum Monte Carlo Algorithm For Noisy Quantum Circuit Simulations
por: Shen, Tong, et al.
Publicado: (2025)

Non-Unitary Quantum Machine Learning: Fisher Efficiency Transitions from Distributed Quantum Expressivity
por: Masta, Apoorv Kumar, et al.
Publicado: (2026)

Quantum Brownian Motion as a Classical Stochastic Process in Phase Space
por: Kondaurov, Dmitriy, et al.
Publicado: (2025)

Computational Complexity and Simulability of Non-Hermitian Quantum Dynamics
por: Barch, Brian, et al.
Publicado: (2025)

A Unsupervised Framework for Identifying Diverse Quantum Phase Transitions Using Classical Shadow Tomography
por: Ho, Chi-Ting, et al.
Publicado: (2025)

Compressed Sensing Shadow Tomography
por: Barreto, Joseph, et al.
Publicado: (2026)

Advanced measurement techniques in quantum Monte Carlo: The permutation matrix representation approach
por: Ezzell, Nic, et al.
Publicado: (2025)

Semiclassical Approach to Quantum Fisher Information
por: RouhbakhshNabati, Mahdi, et al.
Publicado: (2025)

Quantum trajectories for time-dependent adiabatic master equations
por: Yip, Ka Wa, et al.
Publicado: (2017)

Universal Weakly Fault-Tolerant Quantum Computation via Code Switching in the [[8,3,2]] Code
por: Wu, Shixin, et al.
Publicado: (2026)

Compressing Quantum Fisher Information
por: Tang, Rui Jie, et al.
Publicado: (2026)

Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix
por: Kwon, Hyukgun, et al.
Publicado: (2026)

Demonstration of error-suppressed quantum annealing via boundary cancellation
por: Munoz-Bauza, Humberto, et al.
Publicado: (2022)

Distinguishing Ordered Phases using Machine Learning and Classical Shadows
por: Morais, Leandro, et al.
Publicado: (2025)

Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
por: Sabarad, Vivek, et al.
Publicado: (2024)

Estimation of Quantum Fisher Information via Stein's Identity in Variational Quantum Algorithms
por: Halla, Mourad
Publicado: (2025)

Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
por: Pranjić, Daniel, et al.
Publicado: (2024)

Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
por: Rasyidi, Mohammad Arif, et al.
Publicado: (2025)

Quantum Fisher Information and the Curvature of Entanglement
por: Saleem, Zain H., et al.
Publicado: (2025)

Quantum Fourier Transform using Dynamic Circuits
por: Bäumer, Elisa, et al.
Publicado: (2024)

A Fundamental Bound for Robust Quantum Gate Control
por: Kosut, Robert L., et al.
Publicado: (2025)

Unsupervised Techniques to Detect Quantum Chaos
por: Nemirovsky, Dmitry, et al.
Publicado: (2025)

Training Classical Neural Networks by Quantum Machine Learning
por: Liu, Chen-Yu, et al.
Publicado: (2024)

Entanglement and Classical Simulability in Quantum Extreme Learning Machines
por: De Lorenzis, A., et al.
Publicado: (2025)

Causal Fisher-Information Inequalities: Classical Causal Model Falsification and Metrological Advantage
por: Bang, Jeongho, et al.
Publicado: (2026)

Scaling Advantage in Approximate Optimization with Quantum Annealing
por: Bauza, Humberto Munoz, et al.
Publicado: (2024)

Classical and Quantum Phase Transitions in Multiscale Media: Universality and Critical Exponents in the Fractional Ising Model
por: Lewis, Joshua M., et al.
Publicado: (2025)