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.
Recent Quantum Hub papers
"Noise-robust ground state energy estimates from deep quantum circuits"
Harish J. Vallury, Michael A. Jones, Gregory A. L. White, Floyd M. Creevey, Charles D. Hill, Lloyd C. L. Hollenberg
Quantum (2023)
"Boosted Ensembles of Qubit and Continuous Variable Quantum Support Vector Machines for B Meson Flavour Tagging"
Maxwell T. West, Martin Sevior, Muhammad Usman
Advanced Quantum Technologies (2023)
"Reflection Equivariant Quantum Neural Networks for Enhanced Image Classification"
Maxwell West, Martin Sevior, Muhammad Usman
Machine Learning: Science and Technology (2023)
"GASP: a genetic algorithm for state preparation on quantum computers"
Floyd M. Creevy, Charles D. Hill, Lloyd C. L. Hollenberg
Scientific Reports (2023)
"Towards quantum enhanced adversarial robustness in machine learning"
Maxwell T. West, Shu-Lok Tsang, Jia S. Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
Nature Machine Intelligence (2023)
"Quantum computing: a new paradigm for ecology"
Andrew P. Woolnough, Lloyd C. L. Hollenberg, Phillip Cassey, Thomas A. A. Prowse
Trends in Ecology & Evolution (2023)
"Permutation invariant encodings for quantum machine learning with point cloud data"
Jamie Heredge, Charles D. Hill, Lloyd C. L. Hollenberg, Martin Sevior
https://arxiv.org/abs/2304.03601 (2023)
"Benchmarking adversarially robust quantum machine learning at scale"
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman
Physical Review Research (2023)
"Automated Quantum Circuit Design With Nested Monte Carlo Tree Search"
Peiyong Wang, Muhammad Usman, Udaya Parampalli, Lloyd C. L. Hollenberg, Casey R. Myers
IEEE Transactions on Quantum Engineering (2023)
"A scalable and fast artificial neural network syndrome decoder for surface codes"
Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman
Quantum (2023)
"A kernel-based quantum random forest for improved classification"
Maiyuren Srikumar, Charles D. Hill, Lloyd C. L. Hollenberg
https://arxiv.org/abs/2210.02355 (2023)
"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.
"Chemistry beyond the Hartree-Fock limit via quantum computed moments"
Michael A. Jones, Harish J. Vallury, Charles D. Hill, Lloyd C. L. Hollenberg
Scientific Reports (2022)
"From many-body to many-time physics"
Gregory A. L. White, Felix A. Pollock, Lloyd C. L. Hollenberg, Charles D. Hill, Kavan Modi
https://arxiv.org/abs/2107.13934 (2022)
"Clustering and enhanced classification using a hybrid quantum autoencoder"
Maiyuren Srikumar, Charles D. Hill, Lloyd C. L. Hollenberg
Quantum Science and Technology (2022)
"Non-Markovian Quantum Process Tomography"
Gregory A. L. White, Felix A. Pollock, Lloyd C. L. Hollenberg, Kavan Modi, Charles D. Hill
PRX Quantum (2022)
"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)
"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)
"Quantum Support Vector Machines for Continuum Suppression in B Meson Decays"
Jamie Heredge, Charles Hill, Lloyd Hollenberg, Martin Sevior
Computing and Software for Big Science (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
Advanced Quantum Technologies (2021)
Featured in IBM Research Blog.
"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
Journal of Physics Communications (2021)
Featured in IBM Research Blog.
“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)