AWS Quantum Technologies Blog
Author: Kyle Brubaker
Kyle Brubaker is a Principal Applied Scientist with the Advanced Solutions Lab at AWS. He received a MSc in Biomedical Engineering from NYU, focusing on brain machine interfaces. He has an industry background in machine learning and ML engineering, and has recently transitioned to working on quantum computing, optimization, and hybrid ML solutions.
AWS Collaborates with Chugai Pharmaceutical Co. on Quantum-Inspired and Constraint Programming Methods for Cyclic Peptide-Protein Docking
Given a three-dimensional model of a drug’s potential target (the binding site), what is the orientation of the drug candidate molecule that best “fits” (docks onto) this binding site? Structure-based drug design involves the use of computational tools to answer this very question! Chugai Pharmaceutical Co., Ltd., a leading Japanese pharmaceutical company, specializes in the […]
Optimization of robot trajectory planning with nature-inspired and hybrid quantum algorithms
Introduction The problem of robot motion planning is pervasive across many industry verticals, including (for example) automotive, manufacturing, and logistics. In the automotive industry, robotic path optimization problems can be found across the value chain in body shops, paint shops, assembly, and logistics, among others [1]. Typically, hundreds of robots operate in a single plant […]