We will recruit up to two interns for paid positions during the summer months.

(to take place between the end of the spring semester and the beginning of the winter semester).

Separate interviews will be conducted for two topics:

1. Computational effective field theory

- Become an expert in a recently developed computational tool, which was originally made for applications in quantum field theory.

- Apply this computational tool for problems in quantum electrodynamics.

- Contribute to the code and develop computational capabilities for future research in our lab.

Required background:

- Proficiency in Mathematica

- A very high grade in the course Analytical Mechanics

- Experience with covariant vector and tensor calculations

Recommended background:

- Experience in developing coding infrastructures

- Advanced courses in quantum mechanics and especially quantum field theory

Relevant reading material will be sent to the candidate before the interview, including links to the git package STrEAM.

2. Optimization algorithms for the generation and control of quantum light

- Learn the gradient-descent optimization packages used in quantum optics.

- Develop our group's code for superradiance.

- Contribute to numerical methods focusing on creating quantum states of light, aiming to create the infrastructure code to be used in future projects.

- Build the algorithm for optimizing the superradiance process in a way that controls the emitted light statistics, aiming at a cat state, GKP state, and other exotic quantum states of light.

Required background:

- Experience in the programming language Python or Julia

- High grades in basic courses in quantum mechanics and optics

Recommended background:

- Background in quantum optics

- Proficiency in machine learning

Relevant reading material will be sent to the candidate before the interview, including a review paper on superradiance and specific sections from a recent theoretical paper by our group.

 

Contact:

Chen: This e-mail address is being protected from spambots. You need JavaScript enabled to view it.

AdQuanta Lab: This e-mail address is being protected from spambots. You need JavaScript enabled to view it.