I am a PhD student at Chalmers University of Technology in Gothenborg, Sweden under the supervision of Associate Professor Giulia Ferrini. I will graduate in January 2025. My research is focused on understanding why quantum computers are able to perform certain computational tasks exponentially faster than classical computers.

Google scholar: https://scholar.google.co.uk/citations?user=bhaAWzoAAAAJ&hl=en

The vacuum provides quantum advantage to otherwise simulatable architectures. Calcluth, C., Ferraro, A. and Ferrini, G., arXiv:2205.09781 (2022)..

Efficient simulation of Gottesman-Kitaev-Preskill states with Gaussian circuits. Calcluth, C., Ferraro, A. and Ferrini, G., arXiv:2203.11182 (2022).

Efficient simulatability of continuous-variable circuits with large Wigner negativity. García-Álvarez, L., Calcluth, C., Ferraro, A. and Ferrini, G., 2020. Physical Review Research, 2(4), p.043322.

TIF290 – ​Quantum Mechanics: Master’s level course in advanced quantum mechanics. I lead an exercise session guiding students through advanced problems from a graduate-level textbook.
FKA173 – Quantum Optics and Quantum Information: Master’s level course on cutting-edge research in quantum optics and quantum information, in which I lead weekly exercise sessions where the students solve problems relevant to building quantum computers with circuit quantum electrodynamics.
FYD500 – Introduction to Linux: a pedagogical Bachelor course in which I help students solve weekly assignments with the goal of becoming familiar with using Linux for high performance computing.
MCC175 – Modern Physics: an introduction to modern physics for Bachelor students in the medical physics program, in which I guide students through weekly exercise sessions.

I graduated with a first class integrated master’s degree of Theoretical Physics BSc, MPhys (International) at the University of Leeds. I spent a year at Aarhus University as part of an Erasmus study abroad programme. I have completed 70 ECTS of master’s courses and a 30 ECTS master’s project.

Master’s project (the University of Leeds): Worked on the topic of quantum many-body scars and how machine learning combined with quantum information may be used to identify coherent many-body quantum systems. My supervisors were Zlatko Papić and Jiannis Pachos. See my review article at phys.cam/scars.

Bachelor project (Aarhus University): Whilst on a study abroad program, I utilized gamification to find solutions to spin glass problems similar to those embedded in the architecture of the D-Wave quantum annealing devices.

Summer research project (the University of Leeds): Chosen for two funded summers of undergraduate research to simulate quantum matter-light interactions. I produced a code to simulate these interactions using constant uncertainty molecular dynamics.

My ability to code was kickstarted before my degree by my own website development business. Throughout my undergraduate degree and through my PhD, I have produced a wide variety of programs using different languages. I have also learned how to run those programs on high performance computer clusters.

Languages: Python, C, Mathematica, MATLAB, PHP, JavaScript, and HTML/CSS.