How Low Rank Linear Algebra Enables Simulations of Quantum Computing by Dr. Sajant Anand (’18)

Join us Monday, March 23, at 4:00 PM in Manc 024! Our very own Sajant Anand (’18), who majored in Physics and Computer Science, will deliver a talk titled, “How Low-Rank Linear Algebra Enables Simulations of Quantum Computing.”

Bio: Dr. Sajant Anand grew up in east TN and then studied computer science and physics at Wake Forest. After a year in England figuring out what to do, he pursued a PhD in physics at UC Berkeley. Recently he moved to Harvard University as a postdoc studying quantum many-body physics using both classical and quantum computers.

Abstract: Quantum computing promises transformational advances in cryptography, material and drug design, and theoretical physics, but how well can classical computers simulate quantum ones? Quantum mechanics is simply linear algebra in exponentially large Hilbert spaces, so low-rank structures called tensor networks can often but not always be used to enable efficient simulations. In this talk, I will introduce tensor networks and discuss how this framework leads to efficient initial state preparation on quantum computers and agentic LLM exploration of many-body physics.

To learn more about Dr. Anand, please visit HERE.

All are welcome!