Spring 2023

Splash Biography

SAJANT ANAND, 2nd Physics PhD Student

Major: Physics

College/Employer: UC Berkeley

Year of Graduation: G

Picture of Sajant Anand

Brief Biographical Sketch:

Hello! I am a second year Physics PhD student here at Berkeley studying condensed matter theory (i.e. how we can better understand materials using both computers and math). I grew up in the east coast but moved out west for graduate school. I enjoy making intricate desserts and playing squash.

Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

M708: Introduction to Neural Networks in Splash Spring 2021 (Mar. 13, 2021)
Neural Networks (NN) have taken the world by storm and have been applied in almost any field to tackle difficult machine learning problems, such as language translation and protein modeling. Work on these models began in the 1960s but really took off in 2010s due to the powerful graphical processing units (GPUs) originally designed for gaming. Even though there are many complicated approaches, the basic neural network requires only addition, multiplication, and a non-linear function. In this class, we'll cover the basics of supervised machine learning, structure of basic networks, and what makes neural networks so powerful when applied to real-world problems. In this class, we hope to provide a basic introduction to NNs that is accessible to anyone interested, even those new to programming.

M675: Quantum Supremacy in Splash Fall 2020 (Oct. 31, 2020)
Last year, Google made a landmark announcement that they had achieved "quantum supremacy," but what exactly does this mean? In this class, we'll give an introduction to what quantum computing and why Google's announcement was such a big deal! We'll cover some basic differences between classical and quantum computing and discuss limitations in the hardware that are keeping quantum computers stuck in the laboratory.