Shao-wen Chang

My research is focused on the study of theoretical models for materials, which is the starting point for us to understand material properties. I am interested both in topics that are already promising candidates for a new generation of technology, and in phenomena that are not yet demonstrated and have no clear application in real life. For example, the model for herbertsmithite-like lattices have similar features with twisted bilayer graphenes in terms of their band structures, which govern the behavior of particles in materials. The latter has been of great interest since the demonstration of superconductivity in 2018. By studying the behavior of atoms in our optical lattice, we can get insight on e.g. the critical parameters at which the phase transition to superconducting states occurs. On the other hand, there are predictions of novel phases of matters for our lattice model.

Emma G. Berger

I am studying the molecular qubits with a scanning tunneling microscope equipped with electron spin resonance capabilities (STM-ESR). This novel experimental method only demonstrated in 2015 and for which only a handful (<10) groups in the world have the capability of performing, will allow for unprecedented measurement and control of single molecular qubits. The goal of my PhD research is then, in short, to use STM-ESR to demonstrate coherent control of bottom-up designed molecular qubits.

Malcohm Spilka Lazarow

Born and raised in San Mateo, California, Malcolm Spilka Lazarow is currently a physics PhD student at UC Berkeley. For most of his life, Malcolm studied to become a composer for film, television, and electronic arts, but he changed this goal in 2016 when LIGO announced the first ever detection of gravitational waves from the merger of two black holes. After finishing his undergraduate degrees in music and math, he spent a few gap years doing research in theoretical plasma physics at UC Berkeley. He is now a member of Liang Dai’s group, where he studies gravitational waves, the theory of general relativity, and geometric numerical methods. In his spare time, Malcolm still composes and designs sound installations. His favorite genres of music are musique-concrete and grunge.

Vamshi Balanaga

I’m a physics student who’s interested in solving climate change. My academic interests range from novel quantum materials to plasma physics. I am a part of Space Enterprise Berkeley, a rocket engineering team on campus. I moved between India and Indiana several times while growing up. I like to spend my free time outdoors, either climbing, hiking, surfing or kayaking.

Rowan Duim

I grew up in Ontario, Canada and moved to sunny Berkeley in 2021 for the physical chemistry PhD program. Working in an ultracold atomic physics group, I do quantum simulation of crystalline materials using laser-cooled atoms in an optical lattice. In particular, we study the Kagome lattice, which exhibits geometric frustration, a property that can lead to exotic states of matter.

Chitraang Murdia

I’m a Physics Ph.D. student at UC Berkeley, working on Quantum Gravity. I am particularly interested in the black hole information paradox and the cosmological measure problem for the multiverse. I started my undergraduate education as a CS major at IIT Bombay in India. In my freshman year, I realized that I was really passionate about doing physics research, so I transferred to MIT. During my time there, I worked on how the quantum mechanical properties of an electron can be used to create monochromatic and unidirectional radiation. In my spare time, I like to read fiction and cook with friends.

Aliza Gray Beverage

I’m a 3rd year PhD grad student studying galaxy evolution. My thesis project is on understanding why galaxies die (when they really should be thriving!!).

Malte Schwarz

I’m a 3rd year physics PhD student at UC Berkeley studying atoms cooled to a few billionth of a degree above the absolute zero-temperature limit.

Sajant Anand

I am working on Tensor Networks (TN) project on efficient two-dimensional algorithms and approaches to better control quantum computers, I am currently designing and demonstrating a TN algorithm for efficiently simulating systems at finite (non-zero) temperatures. We hope to efficiently and accurately study finite-temperature systems beyond the capabilities of current approaches. Such an algorithm would allow us to accurately investigate physical phenomena, such as the fractional quantum hall effect, that have proven difficult for current methods. This phase of matter has long been conjectured to support novel particles that would facilitate robust quantum computing, and our finite-temperature tensor network algorithm will hopefully move us closer to answering this and many other outstanding questions.

Andi Gu

In the field of quantum computing, there still remains a gap between the theory and practical implementation for most algorithms. This gap lies in the number of measurements required to achieve a high-quality result. I am interested in methods to reduce this requirement on the number of measurements. My project demonstrated the potential for certain classical machine learning algorithms to reduce the measurement requirements by orders of magnitude. This work will be key step to realizing the full potential of quantum computers.