Our research
At the Quantum Hub, staff and students are engaged in a range of research projects, spanning fundamentals of quantum information and quantum physics of IBM devices, through to applications in a number of areas.
Research themes
Applications of quantum computing: traffic optimisation and routing, machine learning, materials, chemistry, finance, bioinformatics and cybersecurity.
Science of quantum computing: large-scale entanglement, logic gate characterisation and improvement, HPC benchmarking, and quantum error mitigation.
Quantum User Interface
The Hollenberg group has developed a sophisticated quantum computer simulation tool – the Quantum User Interface (QUI) – for use in research and teaching.
The QUI system is integrated into the following subjects:
Recent Quantum Hub papers
"Realization of a discrete time crystal on 57 qubits of a quantum computer"
Philipp Frey and Stephan Rachel
Science Advances, Vol 8, Issue 9 (2022)
Featured in The Conversation and Pursuit.
"Process Tomography on a 7-Qubit Quantum Processor via Tensor Network Contraction Path Finding"
Aidan Dang, Gregory A. L. White, Lloyd C. L. Hollenberg, Charles D. Hill
https://arxiv.org/abs/2112.06364 (2021)
"Chemistry beyond the Hartree-Fock limit via quantum computed moments"
Michael A. Jones, Harish J. Vallury, Charles D. Hill, Lloyd C. L. Hollenberg
https://arxiv.org/abs/2111.08132 (2021)
"Truncated phase-based quantum arithmetic: error propagation and resource reduction"
G. A. L. White, C. D. Hill, L. C. L. Hollenberg
https://arxiv.org/abs/2110.00217 (2021)
"A scalable and fast artificial neural network syndrome decoder for surface codes"
Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman
https://arxiv.org/abs/2110.05854 (2021)
"Diagnosing temporal quantum correlations: compressed non-Markovian calipers"
Gregory A. L. White, Felix A. Pollock, Lloyd C. L. Hollenberg, Charles D. Hill, Kavan Modi
https://arxiv.org/abs/2107.13934 (2021)
"Clustering and enhanced classification using a hybrid quantum autoencoder"
Maiyuren Srikumar, Charles D. Hill, Lloyd C. L. Hollenberg
https://arxiv.org/abs/2107.11988 (2021)
"Non-Markovian Quantum Process Tomography"
Gregory A. L. White, Felix A. Pollock, Lloyd C. L. Hollenberg, Kavan Modi, Charles D. Hill
https://arxiv.org/abs/2106.11722 (2021)
"Quantum Support Vector Machines for Continuum Suppression in B Meson Decays"
Jamie Heredge, Charles Hill, Lloyd Hollenberg, Martin Sevior
https://arxiv.org/abs/2103.12257 (2021)
"Whole-device entanglement in a 65-qubit superconducting quantum computer"
Gary J. Mooney, Gregory A. L. White, Charles D. Hill, Lloyd C. L. Hollenberg
https://arxiv.org/abs/2102.11521 (2021)
"Generation and verification of 27-qubit Greenberger-Horne-Zeilinger states in a superconducting quantum computer"
Gary J. Mooney, Gregory A. L. White, Charles D. Hill, Lloyd C. L. Hollenberg
https://arxiv.org/abs/2101.08946 (2021)
“Performance optimisation for drift-robust fidelity improvement of two-qubit gates”
Gregory A. L. White, Charles D. Hill, Lloyd C. L. Hollenberg
Phys. Rev. Applied, 15, 014023 (2021)
"Cost optimal gate synthesis in the Clifford hierarchy"
Gary J. Mooney, Charles D. Hill, Lloyd C. L. Hollenberg
Quantum 5, 396 (2021).
“Experimental non-Markovian process characterisation and control on a quantum processor”
Gregory A. L. White, Felix A. Pollock, Charles D. Hill, Lloyd C. L. Hollenberg, Kavan Modi
Nature Communications, 11, 6301 (2020)
“Quantum computed moments correction to variational estimates”
Harish Vallury, Michael Jones, Charles Hill and Lloyd Hollenberg
Quantum 4, 373 (2020)
“Entanglement in a 20-Qubit Superconducting Quantum Computer”
Gary Mooney, Charles Hill and Lloyd Hollenberg
Scientific Reports 9, 13465 (2019)