AWS Quantum Technologies Blog

Katharine Hyatt

Author: Katharine Hyatt

Katharine Hyatt is scientist on the Amazon Braket team. Previously, she worked at the Center for Computational Quantum Physics at the Flatiron Institute, a division of the Simons Foundation. Past research focused on developing new numerical methods to understand 2D correlated electronic systems, and finding interesting applications in condensed matter physics for these methods, tensor networks, exact diagonalization, and quantum Monte Carlo. She previously studied at the University of California, Santa Barbara, where she received her PhD in physics, and at the University of Waterloo, from which she holds an Honours BSc in Mathematical Physics. She also moonlights as a sometime Julia language and package developer.

A tensor network representation of a GHZ circuit and the corresponding circuit diagram

Simulating quantum circuits with Amazon Braket

Whether you want to research quantum algorithms, study the effects of noise in today’s quantum computers, or just prototype and debug your code, the ability to run large numbers of quantum circuits fast and cost effectively is critical to accelerate innovation. This post discusses the different types of quantum circuit simulators offered by Amazon Braket […]