The Optical Quantum Computing Theory Program, led by Dr Austin Lund from the University of Queensland, expands understanding in the power of quantum computation from the perspective of quantum optics theory.

Intermediate, or non-universal quantum computing models have been shown to have the potential to exhibit a quantum advantage over classical computers with less quantum resources than universal models.

Particularly in optics, an intermediate model called Boson Sampling, which consists of single photon sources, linear optics and photon counting, has been shown to admit a proof of quantum computational advantage.

CQC²T has, and is, developing and studying alternative intermediate quantum computing models with the potential to bring forward experiments operating in a faster than classical regime.

Publications

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Provably superior accuracy in quantum stochastic modeling Chengran Yang, Andrew J. P. Garner, Feiyang Liu, Nora Tischler, Jayne Thompson, Man-Hong Yung, Mile Gu, and Oscar Dahlsten
PHYSICAL REVIEW (2023)
Noise detection with spectator qubits and quantum feature engineering A Youssry, G Paz-Silva, C Ferrie
NEW JOURNAL OF PHYSICS
Benchmarking adversarially robust quantum machine learning at scale West, MT; Erfani, SM; Leckie, C; Sevior, M; Hollenberg, LCL; Usman, M
Experimental verification of active damping of powertrain vibrations with simple fuzzy logic compensation for time-varying control period Yonezawa, H; Yonezawa, A; Hatano, T; Hiramatsu, S; Nishidome, C; Kajiwara, I
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING