Research
IBM Quantum Hub at the University of Melbourne
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
"Hybrid quantum optimization in the context of minimizing traffic congestion"
Jedwin Villanueva, Gary J Mooney, Bhaskar Roy Bardhan, Joydip Ghosh, Charles D Hill, Lloyd C L Hollenberg
https://arxiv.org/abs/2504.08275 (Apr 2025)
"What can unitary sequences tell us about multi-time physics?"
Gregory A L White, Felix A Pollock, Lloyd C L Hollenberg, Charles D Hill, Kavan Modi
Quantum (Apr 2025)
"Nonunitary quantum machine learning"
Jamie Heredge, Maxwell West, Lloyd Hollenberg, Martin Sevior
Physical Review Applied (Apr 2025)
"Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers"
Peiyong Wang, Casey R Myers, Lloyd C L Hollenberg, Udaya Parampalli
Quantum Machine Intelligence (Mar 2025)
"Fast and Noise-aware Machine Learning Variational Quantum Eigensolver Optimiser"
Akib Karim, Shaobo Zhang, Muhammad Usman
https://arxiv.org/abs/2503.20210 (Mar 2025)
"Genetically Engineered Quantum Circuits"
Floyd Creevey
PhD Thesis, The University of Melbourne (2025)
"Transversal cnot gate with multicycle error correction"
Younghun Kim, Martin Sevior, Muhammad Usman
Physical Review Applied (Feb 2025)
"Time-adaptive single-shot crosstalk detector on superconducting quantum computer"
Haiyue Kang, Benjamin Harper, Muhammad Usman, Martin Sevior
https://arxiv.org/abs/2502.14225 (Feb 2025)
"On the instance dependence of parameter initialization for the quantum approximate optimization algorithm: Insights via instance space analysis"
Vivek Katial, Kate Smith-Miles, Charles Hill, Lloyd Hollenberg
INFORMS Journal on Computing (Jan 2025)
"Teleporting two-qubit entanglement across 19 qubits on a superconducting quantum computer"
Haiyue Kang, John F Kam, Gary J Mooney, Lloyd C L Hollenberg
Physical Review Applied (Jan 2025)
"Practical learning of multi-time statistics in open quantum systems"
Gregory A L White, Lloyd C L Hollenberg, Charles D Hill, Kavan Modi
https://arxiv.org/abs/2412.17862 (Dec 2024)
"Quantum computer error structure probed by quantum error correction syndrome measurements"
Spiro Gicev, Lloyd C L Hollenberg, Muhammad Usman
Physical Review Research (Dec 2024)
"Entanglement teleportation along a regenerating hamster-wheel graph state"
Haiyue Kang, John F Kam, Gary J Mooney, Lloyd C L Hollenberg
https://arxiv.org/abs/2411.13060 (Nov 2024)
"Instance Space Analysis of Variational Quantum Algorithms"
Vivek Katial
PhD Thesis, The University of Melbourne (2024)
"Automated Quantum Circuit Discovery and Intuition-Guided Quantum Machine Learning Model Design"
Peiyong Wang
PhD Thesis, The University of Melbourne (2024)
"New directions for quantum machine learning: data symmetries, non-unitary techniques and privacy"
James Heredge
PhD Thesis, The University of Melbourne (2024)
"Quantum-Computed Moments via Time-Evolved States"
Alana Fiusco
Master of Science Thesis, The University of Melbourne (2024)
"Direct observation of dynamical quasi-condensation on a quantum computer"
Phillipp Frey, Stephan Rachel
https://arxiv.org/abs/2411.02510 (Nov 2024)
"Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components"
Peiyong Wang, Casey Myers, Lloyd CL Hollenberg, Udaya Parampalli
https://arxiv.org/abs/2409.17583 (Sep 2024)
"Quantum autoencoders using mixed reference states"
Hailan Ma, Gary J Mooney, Ian R Petersen, Lloyd C L Hollenberg, Daoyi Dong
npj Quantum Information (Sep 2024)
"Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning"
Maxwell T West, Azar C Nakhl, Jamie Heredge, Floyd M Creevey, Lloyd C L Hollenberg, Martin Sevior, Muhammad Usman
Intelligent Computing (Sep 2024)
"Characterization of entanglement on superconducting quantum computers of up to 414 qubits"
John F Kam, Haiyue Kang, Charles D Hill, Gary J Mooney, Lloyd CL Hollenberg
Physical Review Research (Aug 2024)
"Ground-state-energy calculation for the water molecule on a superconducting quantum processor"
Michael A Jones, Harish J Vallury, Lloyd C L Hollenberg
Physical Review Applied (Jun 2024)
"A Fast and Adaptable Algorithm for Optimal Multi-Qubit Pathfinding in Quantum Circuit Compilation"
Gary J Mooney
https://arxiv.org/abs/2405.18785 (May 2024)
"Adversarial Robustness Guarantees for Quantum Classifiers"
Neil Dowling, Maxwell T West, Angus Southwell, Azar C Nakhl, Martin Sevior, Muhammad Usman, Kavan Modi
https://arxiv.org/abs/2405.10360 (May 2024)
"Calibrating the role of entanglement in variational quantum circuits"
Azar C Nakhl, Thomas Quella, Muhammad Usman
Physical Review A (2024)
“Mechanisms of ergodicity breaking - from time crystals to Hilbert space fragmentation”
Philipp Frey
PhD Thesis, The University of Melbourne (2024)
"Low Depth Virtual Distillation of Quantum Circuits by Deterministic Circuit Decomposition"
Akib Karim, Shaobo Zhang, Muhammad Usman
https://arxiv.org/abs/2402.18874 (2024)
"A two-stage solution to quantum process tomography: error analysis and optimal design"
Shuixin Xiao, Yuanlong Wang, Jun Zhang, Daoyi Dong, Gary J Mooney, Ian R Petersen, Hidehiro Yonezawa
https://arxiv.org/abs/2402.08952 (2024)
"Crosstalk Attacks and Defence in a Shared Quantum Computing Environment"
Benjamin Harper, Behnam Tonekaboni, Bahar Goldozian, Martin Sevior, Muhammad Usman
https://arxiv.org/abs/2402.02753 (2024)
"Permutation invariant encodings for quantum machine learning with point cloud data"
Jamie Heredge, Charles D Hill, Lloyd C L Hollenberg, Martin Sevior
Quantum Machine Intelligence (2024)
"A kernel-based quantum random forest for improved classification"
Maiyuren Srikumar, Charles D Hill, Lloyd C L Hollenberg
Quantum Machine Intelligence (2024)
"Generation and Preservation of Large Entangled States on Physical Quantum Devices"
John F Kam, Haiyue Kang, Charles D Hill, Gary J Mooney, Lloyd C L Hollenberg
https://arxiv.org/abs/2312.15170 (Dec 2023)
"Unifying non-Markovian characterisation with an efficient and self-consistent framework"
Gregory A L White, Petar Jurcevic, Charles D Hill, Kavan Modi
https://arxiv.org/abs/2312.08454 (Dec 2023)
"Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms"
Floyd M Creevey, Jamie A Heredge, Martin E Sevior, Lloyd C L Hollenberg
https://arxiv.org/abs/2312.01562 (2023)
"Scalable Characterisation of Entanglement on Physical Quantum Computers"
Haiyue Kang
Master of Science Thesis, The University of Melbourne (2023)
"Truncated phase-based quantum arithmetic: Error propagation and resource reduction"
Gregory A L White, Charles D Hill, Lloyd C L Hollenberg
Physical Review A (2023)
"Filtering crosstalk from bath non-Markovianity via spacetime classical shadows"
Gregory A L White, Kavan Modi, Charles D Hill
Physical Review Letters (Apr 2023)
"Artificial Neural Network Syndrome Decoding on IBM Quantum Processors"
Brhyeton Hall, Spiro Gicev, Muhammad Usman
https://arxiv.org/abs/2311.15146 (2023)
"Arbitrary Ground State Observables from Quantum Computed Moments"
Harish J Vallury, Lloyd C L Hollenberg
2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023)
"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)
"Many-time physics in practice"
Gregory A L White
PhD Thesis, The University of Melbourne (Apr 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)
"Large-Scale Entanglement on Physical Quantum Devices"
John Fidel Kam
Master of Science Thesis, The University of Melbourne (2022)
"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)
"Optimizing Quantum Logic Gates on Superconducting Transmon Qubits"
Eugene Y Huang
Master of Science Thesis, The University of Melbourne (June 2022)
"Traffic Optimization via a Hybrid Quantum Algorithm"
Jedwin Villanueva
Master of Science Thesis, The University of Melbourne (May 2022)
"Entanglement in superconducting quantum devices and improving quantum circuit compilation"
Gary J Mooney
PhD Thesis, The University of Melbourne (2022)
“Simulating the Exchange Statistics of Majorana Zero Modes on an IBM Quantum Computer”
Benjamin Harris
Master of Science Thesis, The University of Melbourne (Feb 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"
Gregory A L White, Charles D Hill, Lloyd 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)
"New pathways towards quantum sequence alignment with quantum neurons and quantum machine learning"
Mingrui Jing
Master of Science Thesis, The University of Melbourne (Nov 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.
"Optimising Control of Superconducting Quantum Computers Through Pulse Programming"
Timothy Kay
Master of Science Thesis, The University of Melbourne (May 2021)
"Cost optimal gate synthesis in the Clifford hierarchy"
Gary J Mooney, Charles D Hill, Lloyd C L Hollenberg
Quantum 5, 396 (2021)
"Performance optimization for drift-robust fidelity improvement of two-qubit gates"
Gregory A L White, Charles D Hill, Lloyd C L Hollenberg
Physical Review Applied (Jan 2021)
“Quantum Simulation of Spin Chains on Quantum Computers”
Zi Cheng
Master of Science Thesis, The University of Melbourne (Dec 2020)
“Demonstration of 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 (Dec 2020)
“Quantum computed moments correction to variational estimates”
Harish Vallury, Michael Jones, Charles D Hill and Lloyd C L Hollenberg
Quantum 4, 373 (2020)
“Entanglement in a 20-Qubit Superconducting Quantum Computer”
Gary J Mooney, Charles D Hill and Lloyd C L Hollenberg
Scientific Reports 9, 13465 (2019)