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ABSTRACT: In this paper we review a number of recent developments in the study of quantum tomography which is one of the useful methods for quantum state estimation and quantum information acquisition, having sparked explosion of interest in recent years. The quantum process tomography is also analyzed. At the same time, some success experiments and ap-plications of quantum tomography are introduced. Finally, a number of open problems and future directions in this field are proposed.
J. Electromagnetic Analysis & Applications. 01/2010; 2:333-345.
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ABSTRACT: An incoherent control scheme for state control of locally controllable quantum systems is proposed. This scheme includes three steps: (1) amplitude amplification of the initial state by a suitable unitary transformation, (2) projective measurement of the amplified state, and (3) final optimization by a unitary controlled transformation. The first step increases the amplitudes of some desired eigenstates and the corresponding probability of observing these eigenstates, the second step projects, with high probability, the amplified state into a desired eigenstate, and the last step steers this eigenstate into the target state. Within this scheme, two control algorithms are presented for two classes of quantum systems. As an example, the incoherent control scheme is applied to the control of a hydrogen atom by an external field. The results support the suggestion that projective measurements can serve as an effective control and local controllability information can be used to design control laws for quantum systems. Thus, this scheme establishes a subtle connection between control design and controllability analysis of quantum systems and provides an effective engineering approach in controlling quantum systems with partial controllability information.
The Journal of chemical physics 11/2008; 129(15):154103. · 3.09 Impact Factor
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10/2008;
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CoRR. 01/2008; abs/0810.3283.
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ABSTRACT: Controlling the multi-qubit system is a key task for practical quantum information processing. In this paper, the control problem of five-qubit is studied. A novel quantum reinforcement learning algorithm based on quantum superposition principle is proposed for the quantum control problem. The simulated result shows that quantum reinforcement learning can effectively find the optimal control sequence through fast learning
Computational Intelligence and Security, 2006 International Conference on; 12/2006
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ABSTRACT: Quantum control strategy is discussed from the perspective of quantum information. First, the constraints imposed on the quantum control by quantum theory are analyzed. Then some quantum control schemes based on quantum information are discussed, such as teleportation-based distant quantum control, quantum feedback control using quantum cloning and state recognition, quantum control based on measurement and Grover iteration. Finally, some applications of quantum control in quantum error correction coding and universality analysis of quantum computation are presented and the potential applications of quantum control in quantum information and quantum computation are also prospected
Control Conference, 2006. CCC 2006. Chinese; 09/2006
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ABSTRACT: In this paper, we design a novel autonomous mobile robot which uses quantum sensors to detect faint signals and fulfills some
learning tasks using quantum reinforcement learning (QRL) algorithms. In this robot, a multi-sensor system is designed with
SQUID sensor and quantum Hall sensor, where quantum sensors coexist with traditional sensors. A novel QRL algorithm is applied
and a simple simulation example demonstrates its validity.
01/1970: pages 393-398;
