• PennyLane Performance squad lead, applying modern designs and performance engineering methods to improve quantum simulation and hybrid classical-quantum computation time-to-solution.
• Lead the design and development of PennyLane C++ libraries PennyLane-Lightning, PennyLane-Lightning GPU, and PennyLane-Lightning Kokkos, targeting Python as the primary method of library consumption.
• Lead the HPC focused activitives for PennyLane, including supporting PennyLane on large-scale supercomputers (e.g. Perlmutter, Setonix, LUMI), designing scalable distributed architecture workloads (e.g. QCUT), and ensuring PennyLane supports all target architectures (x86_64, ARM, PowerPC) and OS (MacOS, Windows, Linux).
• Provided extensions and improvements to the scaling performance of JET. Paper available here.
  

• Led research and development of a hybrid classical HPC-quantum algorithm for NLP tasks. Using Python, C++, PyBind11, Catch2, Docker, OpenMP, MPI and backed by Intel’s Quantum Simulator (Intel-QS), succeeded in demonstrating the encoding of corpus data and performing similarity comparisons between different sentences. Available at Code and Publication
• Point-of-contact and technical lead for several national and international collaborations between both industry and academia on quantum software projects URL.
• Represent the quantum research team at ICHEC for several international conferences, including talks at ISC 2019, Frankfurt, Germany, Intel DevCon 2019, Denver Colorado, and an invited talk at QNLP 2019, Oxford. Talk (Youtube)
  

• Collaborated on a study of chaotic dynamics in quantum superfluid systems. Work available at https://arxiv.org/abs/1812.04759.
• Further developed and generalised the Bose–Einstein simulation suite GPUE. Published in the Journal of Open Source Software as GPUE: Graphics Processing Unit Gross–Pitaevskii Equation solver.

Researcher involved the ExaFEL project. Responsibilities included:

• Building a Docker-enabled pipeline for deployment at NERSC.
• Integration of STRUMPACK distributed sparse linear-algebra package for crystal parameter fitting.
• Scalability and bottle-neck investigations of the software at scale.
• Real-time data analysis and feedback during protein crystallography experiments.
• Implementing OpenMP and MPI parallelised algorithms.

Code contributions available at CCTBX, DIALS, ExaFEL Project.
Results leading to publications: 2018, 2019

Researched cold atomic systems, which specific emphasis on the non-equilibrium dynamics of vortex lattice carrying Bose–Einstein condensates. Works and responsibilities included:

• Thesis: Non-equilibrium vortex dynamics in rapidly rotating Bose-Einstein condensates
• Developed GPUE (modern,original), a software suite for simulating linear and nonlinear Schrödinger equation dynamics. The work was used largely to investigate vortex behaviour in Bose–Einstein condensates.
• Responsible for HPC-related interactions between the lab and university.
• Chair of the OIST Student Assembly (2015-2016).

See publications for a list of published works.

• Developer on IBM Solution Installer, used for installing server-side applications with WebSphere Portal platform.
• Experience using Java, J2EE, XML, XSLT, Ant, Shell scripting, JDBC, Python, C.
• Deployed and maintained WebSphere Portal, Lotus Sametime, and Lotus Connections software stacks for development and testing.
  

• Analysed and assisted in trouble-shooting of die failures.
• Trained in operation of light-emission microscopy (LEM), optical beam-induced resistance change (OBIRCH) methods, focussed ion beam (FIB) and scanning electron microscope (SEM) equipment.
• Programmed wafer data analysis and input automation routines in BASH, C, and VB.