Projects

This is a list of projects I worked on previously, currently covering the time span from undergraduate years to the end of my DPhil. It is by no means complete, and the durations of the projects span orders of magnitudes.

DPhil, 2022–2026

The most comprehensive description of this section is of course well documented in the long PDF which every PhD student needs to write when they finish up. This will be soon available, but for now you can find a brief overview here.

  • 2025–2026

    Coherent operations

    I demonstrated coherent control of the quantum state of the ion in the system I built, by implementing the core routines of resolved sideband cooling, Rabi flops, and Ramsey interferometry.

  • 2022–2026

    Modular quantum computing

    I developed and tested technologies to be integrated in a prototype node for an ion trap quantum network with photonic interconnects.

  • 2024–2026

    Numerical simulationsJulia

    I developed a Julia package to simulate laser-ion coupling strengths and laser-Hamiltonian interactions. The package is available on the group's GitHub.

  • 2023–2024

    Laboratory monitoring

    Tracking temperature and pressure drifts in a lab is important when debugging problems. I built a low-cost (<£100) modular environmental logging system using Raspberry Pis and a custom PCB which mounts as a "hat". The PCB interfaces with off-the-shelf consumer-electronics sensors.

  • 2022–2023

    Laser systems

    Large and drifty laser systems are a challenge for scalable and reliable laser-based quantum computers. I built a stable rack-mounted laser system to control four strontium ion-trap experiment. Its footprint is less than $0.5\ \text{m}^{2}$.

  • 2022–2023

    Vacuum systems

    I assembled a pump station for ultra-high-vacuum applications. The station integrates backing, turbo and ion pumps, and monitoring diagnostics such as a pressure gauge and a residual gas analyser.

Physics and maths

Projects from my MSci at Imperial College.

  • 2022

    Quantum Machine LearningPythonPyTorchPennyLane

    Submission for a hackathon on quantum computing. We developed a quantum hybrid neural network.

  • 2021–2022

    Quantum Chaos with RBMPythonQuTiP

    Master project investigating quantum chaos using Restricted Boltzmann Machines (RBM).

  • 2021

    AI HackathonPythonTensorFlow

    I applied CNNs to the prediction of crop yield. Together with my team we won the first prize in our category.

  • 2021

    Barabási-Albert NetworkPython

    I investigated the degree distribution for random attachment and preferential attachment networks both theoretically and computationally.

  • 2021

    Oslo ModelPython

    I investigated the Oslo rice-pile model, which is an example of Self-Organised Criticality (SOC).

  • 2020

    Thermal SimulationPython

    I solved the steady state heat PDE to simulate a microprocessor using numerical methods.

  • 2020

    Fresnel SimulationPython

    Investigated the Point Spread Functions of an Oblique Plane Microscope using a scalar light field model.

Hardware

Electronics projects from my MSci.

  • 2021

    Pulse OximeterAssembly

    I built a pulse oximeter using a PIC18F87K22 microprocessor by Microchip Technology. I wrote the code in Assembly with my lab partner (check the repo).

  • 2019

    Fluxgate MagnetometerArduino

    I built a fluxgate magnetometer sensor from scratch. The readings were collected with a readout circuit and output on an LCD with an Arduino board.

Software

  • 2021

    Flutter AppDartFlutter

    I worked on a Flutter application. The software interacted with a Bluetooth server hosted on a Raspberry Pi to configure its wifi settings. Based on the flutter_reactive_ble library.