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)

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