Summer Internship Program: Tensor Networks, Deep Learning, and Quantum Computing

Eligibility:

Graduate students, PhD students, and professionals in the field.

Content:

1. Review of tensor networks, quantum computing, and deep learning.
2. VAE and diffusion model.
3. Transfer models.
4. Applications of tensor and low-rank approximation.
5. To be determined.

Number of Participants:

5-10 individuals.

Pre-Interview:

Discussion of tensor networks, quantum computing, and deep learning topics.

Recruitment Period:

Starting from June.

Application Process:

Interested individuals should submit a brief summary of their background and research or work experience through the inquiry form.

Note:

Quantum computing, machine learning, and deep learning skills are required for this internship, which will focus on more practical applications.

For more information or question about interns please access discord community.

https://discord.gg/3uN66pnNGV