Structure identification and state initialization of spin networks with limited access

Abstract

For reliable and consistent quantum information processing carried out on a quantum network, the network structure must be fully known and a desired initial state must be accurately prepared on it. In this paper, for a class of spin networks with its single node only accessible, we provide two continuous-measurement-based methods to achieve the above requirements; the first one identifies the unknown network structure with high probability, based on continuous-time Bayesian update of the graph structure; the second one is, with the use of adaptive measurement technique, able to deterministically drive any mixed state to a spin coherent state for network initialization.

20 pages, 6 figures

References in corpus (13)

• Feedback control of quantum state reduction
• Full control by locally induced relaxation
• Deterministic Dicke state preparation with continuous measurement and control
• Coupling strength estimation for spin chains despite restricted access
• Bayesian parameter inference from continuously monitored quantum systems
• Local controllability of quantum networks
• Hamiltonian tomography in an access-limited setting without state initialization
• Indirect Hamiltonian Identification through a small gateway
• Indirect Quantum Tomography of Quadratic Hamiltonians
• Single shot parameter estimation via continuous quantum measurement
• Parametrization of the feedback Hamiltonian realizing a pure steady state
• Global controllability with a single local actuator
• Robust Adaptive measurement for qubit state preparation

Cited by in corpus (21)

• Quantum Hamiltonian identification from measurement time traces
• Variational Quantum Algorithm for Estimating the Quantum Fisher Information
• Reconfigurable optical implementation of quantum complex networks
• System identification for passive linear quantum systems
• Reaching a Quantum Consensus: Master Equations that Generate Symmetrization and Synchronization
• Identification of open quantum systems from observable time traces
• Complex quantum networks as structured environments: engineering and probing
• Complex Quantum Networks: a Topical Review
• Quantum gate identification: error analysis, numerical results and optical experiment
• Quantum Hamiltonian Identifiability via a Similarity Transformation Approach and Beyond
• Exact dimension estimation of interacting qubit systems assisted by a single quantum probe
• Enhancement of quantum synchronization via continuous measurement and feedback control
• A gradient algorithm for Hamiltonian identification of open quantum systems
• An inverse-system method for identification of damping rate functions in non-Markovian quantum systems
• Tomography of time-dependent quantum spin networks with machine learning
• Quantum probe spectroscopy for cold atomic systems
• Optimal identification of non-Markovian environments for spin chains
• On the capability of a class of quantum sensors
• Local probe for connectivity and coupling strength in quantum complex networks
• Generation of accessible sets in the dynamical modelling of quantum network systems
• Measurement-Induced Boolean Dynamics and Controllability for Quantum Networks