近期论文
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Y. Chen#, Z. Miao#* and H. Yuan*. Quantum enhanced precision metrology through cooperation between coherent control and noises in spin systems, Advanced Quantum Technologies, 2200165, 2023.
Y. Xia, W. Guo and Z. Miao*, Time-varying engineered reservoir for improved estimation ofatom-cavity coupling strength, Photonics, 10, 157, 2023.
Z. Liu, Z. Zhang, P. Xie and Z. Miao*, Design of selective TPV thermal emitters based onBayesian optimization nesting simulated annealing, Energies, 16, 416, 2023.
Z. Miao#, D. He, H. Kong, A. Wu and M. R. James. Coherent strong observers for a class of linear quantum stochastic systems with unknown inputs, Automatica, 146, 110625, 2022.
Z. Miao#*, Z. Zhang. K. Li. Y. Pan and A. Sarlette. Deterministic submanifolds for the backward evolving quantum state concerning a monitored qubit, IET Control Theory & Applications, 1-6, 2022.
A. Wu, Z. Dong, Z. Miao and J. Mei. State response and controllability for con-number-valued systems with applications to a class of quantum systems, DOI: 10.1016/j.jfranklin.2022.07.041, Journal of the Franklin Institute, 2022.
J. Liu#, Z. Miao#, L. Fu, and X. Wang. Bhatia-Davis formula in the quantum speed limit. Physical Review A, 104, 052432, 2021.
Y. Chen, H. Chen, J. Liu, Z. Miao and H. Yuan. Fluctuation-enhanced quantum metrology. arXiv:2003.13010, 2020.
Z. Miao and A. Sarlette. Discrete-time reservoir engineering with entangled bath and stabilising squeezed states, Quantum Science and Technology, 2(3), 034013, 2017.
T. Nguyen, Z. Miao, Y. Pan, N. H. Amini, V. Ugrinovskii and M. R. James. Pole Placement Approach to Coherent Passive Reservoir Engineering for Storing Quantum Information, Journal of Control Theory and Technology, 15(3), 193-205, 2017.
G. Shi, B. Li, Z. Miao, P. M. Dower and M. R. James. Reaching Agreement in Quantum Hybrid Networks, Scientific reports, 7, 5989, 2017.
Z. Miao, M. R. James and I. R. Petersen. Coherent observers for linear quantum stochastic systems, Automatica, 71, 264-271, 2016.
L. A. Duffaut Espinosa, Z. Miao, I. R. Petersen, V. Ugrinovskii and M. R. James. Physical realizability and preservation of commutation and anticommutation relations for n-Level quantum systems, SIAM Journal on Control and Optimization, 54(2), 632-661, 2016.
G. Shi, B. Li, Z. Miao, P. M. Dower and M. R. James. Agreeing over quantum hybrid networks: Centralized and distributed solutions, in Proceedings of the 2016 Australian Control Conference, New Castle, Australia, pp 159-161, 2016.
Y. Pan, T. Nguyen, Z. Miao, N. H. Amini, V. Ugrinovskii and M. R. James. Coherent observer engineering for protecting quantum information, in Proceedings of the 2016 Chinese Control Conference, Osaka, Chengdu, China, pp 9139-9144, 2016.
Z. Miao, M. R. Hush and M. R. James. Coherently tracking the covariance matrix of an open quantum system, Physical Review A, 92(1), 012115, 2015.
Y. Pan, Z. Miao, N. H. Amini, V. Ugrinovskii and M. R. James. Interpolation approach to Hamiltonian Varying quantum systems and the adiabatic theorem, EPJ Quantum Technology, 2:24, November, 2015.
N. H. Amini, Z. Miao, Y. Pan, M. R. James and H. Mabuchi. On the generalization of linear least mean squares estimation to quantum systems with non-commutative outputs, EPJ Quantum Technology, 2:14, June, 2015. (Equal Contribution)
Y. Pan, H. Amini, Z. Miao, J. Gough, V. Ugrinovskii and M. R. James. Heisenberg picture approach to the stability of quantum Markov systems. Journal of Mathematical Physics, 55(6), 062701, 2014.
会议论文及发表演说
W. Guo, Y. Xia and Z. Miao. The controllability analysis of a discrete-time reservoir engineering system, in Proceedings of 41th Chinese Control Conference (CCC), Heifei, pp 5681-5686 2022.
D. He and Z. Miao. Design of observer-based LQG controller via simulated annealing algorithm, in Proceedings of 40th Chinese Control Conference (CCC), Shanghai, pp 154-158, 2021.
D. He and Z. Miao. Design of coherent quantum observers in the presence of unknown inputs, in Proceedings of 2020 Chinese Automation Congress(CAC), Shanghai, pp 7375-7379, 2020.
Z. Miao, Y. Chen and H. Yuan. Control enhanced estimation of the driving strength in a superconducting circuit, in Proceedings of 2020 Chinese Automation Congress(CAC), Shanghai, pp 5351-5356, 2020.
Z. Miao, Y. Chen and H. Yuan. Is entanglement necessary in the reservoir input?, in Proceedings of the 2019 IEEE Conference on Decision and Control, Nice, France, pp 407-412 , 2019.
Z. Miao and P. M. Dower. A reduced complexity min-plus method for synchronisation of qubits, in Proceedings of the 2016 Australian Control Conference, New Castle, Australia, pp 391-396, 2016.
Z. Miao, M. R. Hush and M. R. James. Covariance matrix tracking coherent observers for linear stochastic quantum systems, in Proceedings of the 2015 American Control Conference, Chicago, Illinois, pp 74-79, 2015. (Finalist for the Student Best Paper Award)
Z. Miao, Y. Pan and M. R. James. Quantum observers for dissipative interacting qubits in a common environment, in Proceedings of the 2015 Australian Control Conference, Gold Coast, Australia, pp 115-119, 2015.
Z. Miao, M. R. James and V. Ugrinovskii. Pole placement design for quantum systems via coherent observers, in Proceedings of the 2015 IEEE Conference on Decision and Control, Osaka, Japan, pp 5784-5789, 2015.
Z. Miao and M. R. James. Direct and indirect couplings in the interconnection of open two level quantum systems, in Proceedings of the 2015 IEEE Conference on Control Applications, Sydney, Australia, pp 13-18, 2015.
Z. Miao, M. Hosseini, G. Guccione and M. R. James. Synchronisation of micro-mechanical oscillators inside one cavity using feedback control, in Proceedings of the 4th Australian Control Conference, Canberra, Australia, pp 77-82, 2014.
Invited Speaker, Workshop on Quantum Systems Theory, IFAC World Congress, Yokohama, Japan, July 2023;
Invited talk titled ‘A reduced complexity min-plus method for synchronisation of qubits’, 2016 China Australia Quantum Control Workshop;
Invited talk titled ‘Stabilising squeezed states by means of discrete-time reservoir engineering’, 2018 1st International workshop on quantum cybernetics and machine learning;
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