AWS Quantum Technologies Blog
Author: Grant Salton
Grant Salton is a senior research scientist in the Amazon Quantum Solutions Lab. Grant obtained his PhD from Stanford University, and his research interests include quantum information theory, quantum algorithms, quantum error correction, applications of near-term quantum devices, and the role of quantum information in other areas of fundamental physics (e.g., gravity). Prior to joining Amazon, Grant was a postdoctoral fellow at the IQIM, Caltech.
Goldman Sachs and AWS examine efficient ways to load data into quantum computers
Suppose you are trying to solve a problem of interest (e.g., portfolio optimization or machine learning), and you are given some classical data, neatly arranged into a matrix A. Your plan is to solve this problem using a quantum algorithm to process the data. For example, you may be trying to solve a linear system […]
Exploring Simon’s Algorithm with Daniel Simon
Introduction Customers exploring quantum computing often rely on existing algorithms to learn the basics or evaluate new services. Amazon Braket includes many such algorithms in its SDK and managed notebooks. In this post, we will explore one of the first quantum algorithms invented, and a new addition to our Amazon Braket examples: Simon’s algorithm. We […]