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Discovery Projects - Grant ID: DP130101658

Title
Discovery Projects - Grant ID: DP130101658
Funding
ARC | Discovery Projects
Contract (GA) number
DP130101658
Start Date
2013/01/01
End Date
2015/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/DP130101658

 

  • Fault Tolerant Quantum Filtering and Fault Detection for Quantum Systems

    Gao, Qing; Dong, Daoyi; Petersen, Ian R. (2015)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    This paper aims to determine the fault tolerant quantum filter and fault detection equation for a class of open quantum systems coupled to a laser field that is subject to stochastic faults. In order to analyze this class of open quantum systems, we propose a quantum-classical Bayesian inference method based on the definition of a so-called quantum-classical conditional expectation. It is shown that the proposed Bayesian inference approach provides a convenient tool to simultaneously derive t...

    Modelling and Control of Quantum Measurement Induced Backaction in Double Quantum Dots

    Quantum measurements disturb the quantum system being measured, and this is known as measurement-induced backaction. In this work, we consider a double quantum dot monitored by a nearby quantum point contact where the measurement-induced backaction plays an important role. Taking advantage of the quantum master equation approach, we calculate the tunnelling current, and propose a simple feedbackcontrol law to realize and stabilize the tunnelling current. Theoretical analysis and numerical sim...

    Realization of mutually unbiased bases for a qubit with only one wave plate: Theory and experiment

    Hou, Zhibo; Xiang, Guoyong; Dong, Daoyi; Li, Chuan-Feng; Guo, Guang-Can (2015)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    We consider the problem of implementing mutually unbiased bases (MUB) for a polarization qubit with only one wave plate, the minimum number of wave plates. We show that one wave plate is sufficient to realize two MUB as long as its phase shift (modulo $360^\circ$) ranges between $45^\circ$ and $315^\circ$. {It can realize} three MUB (a complete set of MUB for a qubit) if the phase shift of the wave plate is within $[111.5^\circ, 141.7^\circ]$ or its symmetric range with respect to 180$^\circ$...

    Distributed sampled-data control of nonholonomic multi-robot systems with proximity networks

    Liu, Zhixin; Wang, Lin; Wang, Jinhuan; Dong, Daoyi; Hu, Xiaoming (2016)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    This paper considers the distributed sampled-data control problem of a group of mobile robots connected via distance-induced proximity networks. A dwell time is assumed in order to avoid chattering in the neighbor relations that may be caused by abrupt changes of positions when updating information from neighbors. Distributed sampled-data control laws are designed based on nearest neighbour rules, which in conjunction with continuous-time dynamics results in hybrid closed-loop systems. For un...

    Real-time Information, Uncertainty and Quantum Feedback Control

    Qi, Bo; Dong, Daoyi; Chen, Chunlin; Liu, Lijun; Xi, Zairong (2014)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    Feedback is the core concept in cybernetics and its effective use has made great success in but not limited to the fields of engineering, biology, and computer science. When feedback is used to quantum systems, two major types of feedback control protocols including coherent feedback control (CFC) and measurement-based feedback control (MFC) have been developed. In this paper, we compare the two types of quantum feedback control protocols by focusing on the real-time information used in the f...

    Full reconstruction of a 14-qubit state within four hours

    Hou, Zhibo; Zhong, Han-Sen; Tian, Ye; Dong, Daoyi; Qi, Bo; Li, Li; Wang, Yuanlong; Nori, Franco; Xiang, Guo-Yong; Li, Chuan-Feng; Guo, Guang-Can (2016)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    Full quantum state tomography (FQST) plays a unique role in the estimation of the state of a quantum system without \emph{a priori} knowledge or assumptions. Unfortunately, since FQST requires informationally (over)complete measurements, both the number of measurement bases and the computational complexity of data processing suffer an exponential growth with the size of the quantum system. A 14-qubit entangled state has already been experimentally prepared in an ion trap, and the data process...

    Recursively Adaptive Quantum State Tomography: Theory and Two-qubit Experiment

    Qi, Bo; Hou, Zhibo; Wang, Yuanlong; Dong, Daoyi; Zhong, Han-Sen; Li, Li; Xiang, Guo-Yong; Wiseman, Howard M.; Li, Chuan-Feng; Guo, Guang-Can (2015)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    Adaptive techniques have important potential for wide applications in enhancing precision of quantum parameter estimation. We present a recursively adaptive quantum state tomography (RAQST) protocol for finite dimensional quantum systems and experimentally implement the adaptive tomography protocol on two-qubit systems. In this RAQST protocol, an adaptive measurement strategy and a recursive linear regression estimation algorithm are performed. Numerical results show that our RAQST protocol c...

    Achieving robust and high-fidelity quantum control via spectral phase optimization

    Guo, Yu; Dong, Daoyi; Shu, Chuan-Cun (2017)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    Achieving high-fidelity control of quantum systems is of fundamental importance in physics, chemistry and quantum information sciences. However, the successful implementation of a high-fidelity quantum control scheme also requires robustness against control field fluctuations. Here, we demonstrate a robust optimization method for control of quantum systems by optimizing the spectral phase of an ultrafast laser pulse, which is accomplished in the framework of frequency domain quantum optimal c...

    Dark Modes of Quantum Linear Systems

    Pan, Yu; Dong, Daoyi; Petersen, Ian R. (2016)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    In this paper, we develop a direct method for the characterization of dark modes. The results can be used to construct a transformation that separates dark and bright modes, through the decomposition of system dynamics. We also study a synthesis problem by engineering the system-environment coupling and Hamiltonian engineering. We apply the theory to investigate an optomechanical dark mode.

    Quantum State Tomography via Linear Regression Estimation

    Bo Qi; Zhibo Hou; Li Li; Daoyi Dong; Guoyong Xiang; Guangcan Guo (2013)
    Projects: ARC | Discovery Projects - Grant ID: DP130101658 (DP130101658)
    A simple yet efficient state reconstruction algorithm of linear regression estimation (LRE) is presented for quantum state tomography. In this method, quantum state reconstruction is converted into a parameter estimation problem of a linear regression model and the least-squares method is employed to estimate the unknown parameters. An asymptotic mean squared error (MSE) upper bound for all possible states to be estimated is given analytically, which depends explicitly upon the involved measu...
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