Machine Learning for Ground State Preparation via Measurement and Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Chuanxin, You, Yi-Zhuang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation
by: Puente, Daniel Alcalde, et al.
Published: (2024)
by: Puente, Daniel Alcalde, et al.
Published: (2024)
ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements
by: Yao, Jian, et al.
Published: (2024)
by: Yao, Jian, et al.
Published: (2024)
Constant-Depth Quantum Circuits for Arbitrary Quantum State Preparation via Measurement and Feedback
by: Zi, Wei, et al.
Published: (2025)
by: Zi, Wei, et al.
Published: (2025)
Ground State Preparation via Dynamical Cooling
by: Motlagh, Danial, et al.
Published: (2024)
by: Motlagh, Danial, et al.
Published: (2024)
Continuous Approximation of the Ising Hamiltonian: Exact Ground States and Applications to Fidelity Assessment in Ising Machines
by: Rezaei, Amirhossein, et al.
Published: (2024)
by: Rezaei, Amirhossein, et al.
Published: (2024)
Efficient State Preparation for Quantum Machine Learning
by: Nakhl, Chris, et al.
Published: (2026)
by: Nakhl, Chris, et al.
Published: (2026)
Rapid Dissipative Ground State Preparation at Chemical Transition States
by: Watts, Thomas W., et al.
Published: (2026)
by: Watts, Thomas W., et al.
Published: (2026)
A neural network approach for two-body systems with spin and isospin degrees of freedom
by: Wang, Chuanxin, et al.
Published: (2024)
by: Wang, Chuanxin, et al.
Published: (2024)
Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering
by: Karacan, Erenay, et al.
Published: (2024)
by: Karacan, Erenay, et al.
Published: (2024)
Quantum State Preparation via Neural Network Encoding in Quantum Machine Learning
by: Aoun, Kevin W., et al.
Published: (2026)
by: Aoun, Kevin W., et al.
Published: (2026)
Characterizing MPS and PEPS Preparable via Measurement and Feedback
by: Zhang, Yifan, et al.
Published: (2024)
by: Zhang, Yifan, et al.
Published: (2024)
Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment
by: Wang, Zhao-Wei, et al.
Published: (2025)
by: Wang, Zhao-Wei, et al.
Published: (2025)
Robust Variational Ground-State Solvers via Dissipative Quantum Feedback Models
by: Lee, Yunyan, et al.
Published: (2025)
by: Lee, Yunyan, et al.
Published: (2025)
Comparing Classical and Quantum Ground State Preparation Heuristics
by: Gratsea, Katerina, et al.
Published: (2024)
by: Gratsea, Katerina, et al.
Published: (2024)
Deterministic Ground State Preparation via Power-Cosine Filtering of Time Evolution Operators
by: Jo, Jeongbin
Published: (2026)
by: Jo, Jeongbin
Published: (2026)
Robust GHZ State Preparation via Majority-Voted Boundary Measurements
by: Waring, Jean-Baptiste, et al.
Published: (2026)
by: Waring, Jean-Baptiste, et al.
Published: (2026)
Dissipative Preparation of Many-Body Quantum States: Towards Practical Quantum Advantage
by: Lin, Lin
Published: (2025)
by: Lin, Lin
Published: (2025)
Algorithmic Discovery of Casimir-Polder forces: Repulsion in the Ground State
by: Kilianski, Romuald, et al.
Published: (2024)
by: Kilianski, Romuald, et al.
Published: (2024)
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
by: Wanner, Marc, et al.
Published: (2024)
by: Wanner, Marc, et al.
Published: (2024)
Detecting Entanglement by State Preparation and Local Measurements
by: Kim, Jaemin, et al.
Published: (2023)
by: Kim, Jaemin, et al.
Published: (2023)
A deep neural network approach to solve the Dirac equation
by: Wang, Chuanxin, et al.
Published: (2024)
by: Wang, Chuanxin, et al.
Published: (2024)
Quantum State Preparation by Improved MPS Method
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Exploring Ground and Excited States via Single Reference Coupled-Cluster Theory and Algebraic Geometry
by: Sverrisdóttir, Svala, et al.
Published: (2024)
by: Sverrisdóttir, Svala, et al.
Published: (2024)
Preparing Ground and Excited States Using Adiabatic CoVaR
by: Hwang, Wooseop, et al.
Published: (2024)
by: Hwang, Wooseop, et al.
Published: (2024)
Critical States Preparation With Deep Reinforcement Learning
by: Yu, Jia-Wen, et al.
Published: (2026)
by: Yu, Jia-Wen, et al.
Published: (2026)
Optimized Amplitude Amplification for Quantum State Preparation
by: Chernikov, Artem, et al.
Published: (2025)
by: Chernikov, Artem, et al.
Published: (2025)
Constant-Depth Unitary Preparation of Dicke States
by: Joshi, Malvika Raj, et al.
Published: (2026)
by: Joshi, Malvika Raj, et al.
Published: (2026)
Noise-Canceling Quantum Feedback: non-Hermitian Dynamics with Applications to State Preparation and Magic State Distillation
by: Karmakar, Tathagata, et al.
Published: (2025)
by: Karmakar, Tathagata, et al.
Published: (2025)
Adiabatic-Inspired Hybrid Quantum-Classical Methods for Molecular Ground State Preparation
by: Thrasher, Sean, et al.
Published: (2025)
by: Thrasher, Sean, et al.
Published: (2025)
End-to-End Efficient Quantum Thermal and Ground State Preparation Made Simple
by: Ding, Zhiyan, et al.
Published: (2025)
by: Ding, Zhiyan, et al.
Published: (2025)
Noise-Assisted Feedback Control of Open Quantum Systems for Ground State Properties
by: Swain, Kasturi Ranjan, et al.
Published: (2025)
by: Swain, Kasturi Ranjan, et al.
Published: (2025)
Quantum State Preparation via Schmidt Spectrum Optimisation
by: Green, Josh, et al.
Published: (2025)
by: Green, Josh, et al.
Published: (2025)
Direct Variational Calculation of Two-Electron Reduced Density Matrices via Semidefinite Machine Learning
by: Delgado-Granados, Luis H., et al.
Published: (2026)
by: Delgado-Granados, Luis H., et al.
Published: (2026)
Efficient Preparation of Quantum States via Randomized Truncation
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
Measurement-Based Quantum Diffusion Models
by: Liu, Xinyu, et al.
Published: (2025)
by: Liu, Xinyu, et al.
Published: (2025)
Preparing Spin Squeezed States via Adaptive Genetic Algorithm
by: Zhao, Yiming, et al.
Published: (2024)
by: Zhao, Yiming, et al.
Published: (2024)
Quantum State Preparation via Nested Entanglement
by: Warner, Geoffrey L.
Published: (2025)
by: Warner, Geoffrey L.
Published: (2025)
Mixed-State Measurement-Induced Phase Transitions in Imaginary-Time Dynamics
by: Ding, Yi-Ming, et al.
Published: (2025)
by: Ding, Yi-Ming, et al.
Published: (2025)
Super-Poissonian Squeezed Light in the Ground State of Strongly Coupled Light-matter Systems
by: Tasci, Cankut, et al.
Published: (2025)
by: Tasci, Cankut, et al.
Published: (2025)
T-Count Optimizing Genetic Algorithm for Quantum State Preparation
by: Wright, Andrew, et al.
Published: (2024)
by: Wright, Andrew, et al.
Published: (2024)
Similar Items
-
Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation
by: Puente, Daniel Alcalde, et al.
Published: (2024) -
ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements
by: Yao, Jian, et al.
Published: (2024) -
Constant-Depth Quantum Circuits for Arbitrary Quantum State Preparation via Measurement and Feedback
by: Zi, Wei, et al.
Published: (2025) -
Ground State Preparation via Dynamical Cooling
by: Motlagh, Danial, et al.
Published: (2024) -
Continuous Approximation of the Ising Hamiltonian: Exact Ground States and Applications to Fidelity Assessment in Ising Machines
by: Rezaei, Amirhossein, et al.
Published: (2024)