135 research outputs found
State Transfer of Two-level Quantum System Feedback Control Based on Online State Estimation
A quantum state feedback control method is proposed in this paper. The state of a two-level open quantum system is estimated online based on the continuous weak measurement and the compressed sensing theory. Based on the state estimated online and the Lyapunov stability theorem, the state feedback control law used to transfer the quantum state is designed. Moreover, three numerical simulation experiments are implemented in the MATLAB environment: the state transfer from eigenstates to eigenstates, superposition states to superposition states, and superposition states to mixed states. The experimental results verify high performance of the proposed feedback control based on the state estimated online
Global Control Methods for GHZ State Generation on 1-D Ising Chain
We discuss how to prepare an Ising chain in a GHZ state using a single global
control field only. This model does not require the spins to be individually
addressable and is applicable to quantum systems such as cold atoms in optical
lattices, some liquid- or solid-state NMR experiments, and many nano-scale
quantum structures. We show that GHZ states can always be reached
asymptotically from certain easy-to-prepare initial states using adiabatic
passage, and under certain conditions finite-time reachability can be ensured.
To provide a reference useful for future experimental implementations three
different control strategies to achieve the objective, adiabatic passage,
Lyapunov control and optimal control are compared, and their advantages and
disadvantages discussed, in particular in the presence of realistic
imperfections such as imperfect initial state preparation, system inhomogeneity
and dephasing.Comment: 13 pages, 11 figure
An online optimization algorithm for the real-time quantum state tomography
Considering the presence of measurement noise in the continuous weak
measurement process, the optimization problem of online quantum state tomography (QST) with corresponding constraints is formulated. Based on the online alternating direction multiplier method (OADM) and the continuous weak measurement
(CWM), an online QST algorithm (QST-OADM) is designed and derived. Specifically, the online QST problem is divided into two subproblems about the quantum
state and the measurement noise. The proposed algorithm adopts adaptive learning
rate and reduces the computational complexity to O(d
3
), which provides a more
efficient mechanism for real-time quantum state tomography. Compared with most
existing algorithms of online QST based on CWM which require time-consuming
iterations in each estimation, the proposed QST-OADM can exactly solve two subproblems at each sampling. The merits of the proposed algorithm are demonstrated
in the numerical experiments of online QST for 1, 2, 3, and 4-qubit system
Novel approaches to optomechanical transduction
[no abstract
Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
Quantum optimal control, a toolbox for devising and implementing the shapes
of external fields that accomplish given tasks in the operation of a quantum
device in the best way possible, has evolved into one of the cornerstones for
enabling quantum technologies. The last few years have seen a rapid evolution
and expansion of the field. We review here recent progress in our understanding
of the controllability of open quantum systems and in the development and
application of quantum control techniques to quantum technologies. We also
address key challenges and sketch a roadmap for future developments.Comment: this is a living document - we welcome feedback and discussio
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