Laboratory work in support of trapped-ion quantum computation experiments

- Implemented Steane [[7,1,3]] quantum error correcting code in Qiskit using stabilizer formalism- Read literature to optimize logical state preparation and error correction, increasing expected qubit fidelity- Used QASM and pytket to verify circuits and prepare for running on Quantinuum H1-1 quantum computer

Assessing the viability and performance of laser delivery systems for trapped-ion and neutral atom quantum computing using numerical simulations.

Computational Cosmology Group - Modelling stellar processes in FORTRAN using HPC techniques and analyzing data with machine learning methods

Modelling the loanword adaptation process into Mandarin Chinese using mixed categorical and numerical machine learning methods for the purpose of building more accurate machine translators and natural language processors. Achieved accuracy of 80% in predicting English null-onset tone using scikit-learn's DecisionTreeClassifier.

Refining numerical physics code for ion transport in trapped-ion quantum computers