Scalable Lindblad Noise Learning via Stochastic Tensor-Network Simulation
quant-ph
Submitted: 2026-08-25
Updated: 2026-09-22
Terminology
Sources
- Scalable tensor-network error mitigation for near-term quantum computing
- Optimal short-time measurements for Hamiltonian learning
- Hamiltonian and Liouvillian learning in weakly-dissipative quantum many-body systems
- Large-scale Lindblad learning from time-series data
- Ansatz-Free Learning of Lindbladian Dynamics In Situ
- Lindbladian Learning with Neural Differential Equations
- Simulation-assisted learning of open quantum systems
- Lindblad Tomography of a Superconducting Quantum Processor
- Compressed-sensing Lindbladian quantum tomography with trapped ions
- Quantum process tomography and Linblad estimation of a solid state qubit
- Tensor network noise characterization for near-term quantum computers
- Large-scale stochastic simulation of open quantum systems
- A Tutorial on Bayesian Optimization
- Techniques for learning sparse Pauli-Lindblad noise models
- The MQT Handbook: A Summary of Design Automation Tools and Software for Quantum Computing
- QuTiP: An open-source Python framework for the dynamics of open quantum systems
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