Image de couverture de livre

Variational Thermal State Preparation on Digital Quantum Processors Assisted by Matrix Product States

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Rui-Hao, Valgushev, Semeon, Najafi, Khadijeh
Format:	Preprint
Publié:	2025
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

Lattice study of disordering of inhomogeneous condensates and the Quantum Pion Liquid in effective $O(N)$ model
par: Winstel, Marc, et autres
Publié: (2024)

Preparation Circuits for Matrix Product States by Classical Variational Disentanglement
par: Mansuroglu, Refik, et autres
Publié: (2025)

Quantum State Preparation of Normal Distributions using Matrix Product States
par: Iaconis, Jason, et autres
Publié: (2023)

Variational Neural-Network Ansatz for Continuum Quantum Field Theory
par: Martyn, John M., et autres
Publié: (2022)

Scalable Quantum State Preparation for Encoding Genomic Data with Matrix Product States
par: Creevey, Floyd M., et autres
Publié: (2025)

Quantum State Preparation for Probability Distributions with Reflection Symmetry Using Matrix Product States
par: Sano, Yuichi, et autres
Publié: (2024)

Quantum simulation of Fermi-Hubbard model based on transmon qudit interaction
par: Vezvaee, Arian, et autres
Publié: (2024)

Variational Quantum Imaginary Time Evolution for Matrix Product State Ansatz with Tests on Transcorrelated Hamiltonians
par: Li, Hao-En, et autres
Publié: (2024)

Scalable Preparation of Matrix Product States with Sequential and Brick Wall Quantum Circuits
par: Szołdra, Tomasz, et autres
Publié: (2026)

Excited-State Quantum Chemistry on Qumode-Based Processors via Variational Quantum Deflation
par: Jost, Marlon F., et autres
Publié: (2026)

On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
par: Basheer, Afrad, et autres
Publié: (2024)

Quantum Walks Assisted Bidirectional Remote State Preparation
par: Naseeda, K. K., et autres
Publié: (2026)

Holographic Gaussian Boson Sampling with Matrix Product States on 3D cQED Processors
par: Lyu, Ningyi, et autres
Publié: (2024)

Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms
par: Kan, Shuwen, et autres
Publié: (2024)

Contour deformations for non-holomorphic actions
par: Lawrence, Scott, et autres
Publié: (2024)

Variational Quantum Algorithms for Gibbs State Preparation
par: Consiglio, Mirko
Publié: (2023)

Quantum State Designs with Clifford Enhanced Matrix Product States
par: Lami, Guglielmo, et autres
Publié: (2024)

Amplitude Encoding of Slater-Type Orbitals via Matrix Product States: Efficient State Preparation and Integral Evaluation on Quantum Hardware
par: Bolos, Sorin
Publié: (2026)

Global Variational Quantum Circuits for Arbitrary Symmetric State Preparation
par: Bond, Liam J., et autres
Publié: (2023)

Optimizing State Preparation for Variational Quantum Regression on NISQ Hardware
par: Perkkola, Frans, et autres
Publié: (2025)

Simulating Quantum Turbulence with Matrix Product States
par: Gómez-Lozada, Felipe, et autres
Publié: (2025)

Matrix Product State on a Quantum Computer
par: Liu, Yong, et autres
Publié: (2025)

Matrix Product States in Quantum Spin Chains
par: Souissi, Abdessatar, et autres
Publié: (2024)

Expressive Quantum Perceptrons for Quantum Neuromorphic Computing
par: Bravo, Rodrigo Araiza, et autres
Publié: (2022)

Quantum critical dynamics and emergent universality in decoherent digital quantum processors
par: Rhyno, Brendan, et autres
Publié: (2025)

Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation
par: Puente, Daniel Alcalde, et autres
Publié: (2024)

Quantum Encoding of Structured Data with Matrix Product States
par: Green, Josh, et autres
Publié: (2025)

Quantum State Preparation Of Multiconfigurational States For Quantum Chemistry
par: Greene-Diniz, Gabriel, et autres
Publié: (2025)

Towards Optimal Circuit Size for Sparse Quantum State Preparation
par: Mao, Rui, et autres
Publié: (2024)

State Similarity in Modular Superconducting Quantum Processors with Classical Communications
par: Wu, Bujiao, et autres
Publié: (2025)

Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
par: Rodrıguez, Juan Camilo, et autres
Publié: (2025)

Ground State Energy of He molecule Using a Four-Qubit Photonic Processor with the Variational Quantum Eigensolver
par: Ghavami, Badie, et autres
Publié: (2025)

Decoherence in Waveguide Quantum Electrodynamics using Matrix Product States
par: Bundgaard-Nielsen, Matias, et autres
Publié: (2026)

End-to-End Efficient Quantum Thermal and Ground State Preparation Made Simple
par: Ding, Zhiyan, et autres
Publié: (2025)

Magic State Injection on IBM Quantum Processors Above the Distillation Threshold
par: Kim, Younghun, et autres
Publié: (2024)

Variational Gibbs State Preparation on Trapped-Ion Devices
par: Robertson, Reece, et autres
Publié: (2026)

Asymptotic Replacement for Quantum Channel Products with Applications to Inhomogeneous Matrix Product States
par: Pathirana, Lubashan
Publié: (2026)

Geometric Prototype Learning in Quantum Hilbert Space with Matrix Product States
par: Zhang, Kun, et autres
Publié: (2026)

Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
par: Metcalf, Mekena, et autres
Publié: (2024)

High-rate Generation and State Tomography of Non-Gaussian Quantum States for Ultra-fast Clock Frequency Quantum Processors
par: Kawasaki, Akito, et autres
Publié: (2024)