Last updated 26th July 2023

Postdoctoral

Research conducted at the UKRI NQCC, University of Osaka, University of Oxford, EPFL, and Quantum Motion London, 2022 - present​.

Under construction!

Doctoral

[thesis] Research conducted at the University of Oxford, IBM Research UK, and Quantum Motion London, 2017 - 2022​.

Quantum variational algorithms​

Developing noise-resilient variational algorithms to run on first generation quantum computers.

• ​Learning more of spectra by augmenting the Hamiltonian in energy minimisation (Phys. Rev. A)
• Quantum-assisted quantum-circuit recompilation (Quantum Journal)
• ​Quantum imaginary time evolution, for energy minimisation (npjQI)
• Discovering superior states for quantum metrology (New J. Phys.)​​​

Simulating quantum computers

Using high-performance, hardware-accelerated classical computers to simulate quantum computers.

• QuEST, a multithreaded, GPU-accelerated, distributed C/C++ simulator of quantum computers (Sci. Rep., Github, Site)
• QuESTlink, a Mathematica interface for QuEST with additional analytic, symbolic and visualisation facilities (Quant. Sci. Tech., Github, Site)
• Novel algorithms for efficient distributed simulation of quantum gates and channels (in preparation​)

Simulating variational algorithms

Devising bespoke strategies for asymptotically faster classical simulation of quantum variational algorithms.

• Simulating gradient descent, #parameter times faster (arXiv)
• ​Simulating natural gradient, #parameter times faster (arXiv)
• Faster emulation of noisy quantum variational algorithms (in preparation​)

Postgraduate

Research conducted at Monash University, University of California San Diego (UCSD), Wolfram Research, Australian National University (ANU) and CSIRO Data61, 2016 - 2017​. Additional work at Quantum Motion London 2020.

Machine learning

• Experimented with music composition and rendering using Google's wavenet (3min thesis)
• ​Explored using Mathematica's machine learning framework to predict quantum eigenstates (Github, Bio)​

Quantum turbulence

• Proposed a novel experimental detection strategy of Onsager vortex clustering, and developed MATLAB simulations of quantum turbulence and vortex dynamics (Thesis)

Software architecture

• Developed Condorflux, a metric collection system to monitor usage of the Pacific Research Platform's supercomputing facilities (Wiki, Github, Proceedings)​​
• Created an ecosystem of AWS services for secure, automated, searchable data retention of Quantum Motion London experiment data

Undergraduate

Research conducted at Monash University, and Monash Prato Centre, 2013 - 2015.

Gravitational waves

• Investigated the feasibility of a novel, terrestrial, millihertz-gravitational wave detector under the co-chair of the stochastic analysis group at LIGO (Scavenged report draft, Logbook)

Creative computing

• Studied early forms of computing in the 19th century Italian textile industry, and computer generation of fabric art
• Co-developed a gesture-controlled virtual-reality physics-driven Twitter network visualiser (Site, Report, Github)

Random shuffles

• Studied card shuffling tricks with random elements and quantified their failure rates (Scavenged intro draft, calc draft)