Quantum information theory underpins and motivates the quantum revolution in computation and communication technology. Led by Professor Howard Wiseman based at Griffith University, the research in QIT is broad-based, including new algorithms/protocols for quantum information processing, quantum estimation and metrology using quantum information technology, feedback-control of quantum information processing devices, and generating novel quantum correlations using optical networks and local processors. The QIT Program collaborates with both theory and experimental programs in the Centre, as well as with partner organisations NASA, NIST, and the National University of Singapore.
People
- Prof. Howard M. Wiseman Executive Team, Program Manager Griffith University
- Dr. Travis Baker Research Fellow Griffith University
- Teerawat Chalermpusitarak PhD Student Griffith University
- Dr. Areeya Chantasri Visiting Research Fellow Griffith University
- Dr. Ivonne Guevara Research Fellow Griffith University
- Dr. Kiarn Laverick PhD Student Griffith University
- Dr. Gerardo Paz Silva Research Fellow Griffith University
- Qiucheng Song PhD Student Griffith University
- Dr. Behnam Tonekaboni Research Fellow Griffith University
- Anibal Utreras-Alarcon PhD Student Griffith University
- Dr. Yuanlong Wang Research Fellow Griffith University
- Dr. Qi Yu Research Fellow Griffith University
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Featured Publications
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Greedy versus map-based optimized adaptive algorithms for random-telegraph-noise mitigation by spectator qubits
American Physical Society, A 107, 032401 (2023)
Optimized mitigation of random-telegraph-noise dephasing by spectator-qubit sensing and control
Physical Review A, 107, L030601 (2023)
Frame-Based Filter-Function Formalism for Quantum Characterization and Control
PRX Quantum, 2, 030315 (2021)
Limitations on sharing Bell nonlocality between sequential pairs of observers
Physical Review A, 104, L060201 (2021)
Quantum Rauch-Tung-Striebel smoothed state
Physical Review Research, 3, 033196 (2021)
Quantum state smoothing as an optimal Bayesian estimation problem with three different cost functions
Physical Review A, 104, 032213 (2021)
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