Junior Scientist — Cambridge Quantum Computing
- Quantum Machine Learning team member.
Quantum Information
Quantum machine learning, variational algorithms, and semiconductor-based qubit hardware. Background before moving into cryptography.
Industry
Intern — Cambridge Quantum Computing
Publication
- Filtering variational quantum algorithms for combinatorial optimization. Carlo Modica. IOP Quantum Science and Technology, June 2021.
Education
MSc Physics, Quantum Track — University of Copenhagen
- Thesis: Vacuum-Gap Capacitors for semiconductor-based qubits — experimental work at the Center for Quantum Devices, University of Copenhagen. Supervisors: Karl Petersson and Charles Marcus.
- Modules: Advanced Quantum Mechanics; Quantum Magnetism; Condensed Matter Physics; Condensed Matter Theory I & II; Quantum Nanoelectronics; Large-Scale Data Analysis; Quantum Information.