Available today, quantum computing developers, educators, and enthusiasts can learn the foundations of quantum computing on Amazon Web Services (AWS) with the Amazon Braket Digital Learning Plan and earn their own Digital badge – at no additional cost. You earn the badge after completing a series of learning courses and scoring at least 80% on an […]
A detailed, end-to-end assessment of a quantum algorithm for portfolio optimization, released by Goldman Sachs and AWS
In this post we’ll walk you through some key takeaways from a paper published today by scientists from Goldman Sachs and AWS describing a quantum algorithm for portfolio optimization.
Towards practical molecular electronic structure simulations on NISQ devices with Amazon Braket and Kvantify’s FAST-VQE algorithm
Quantum computing’s potential for computational chemistry is immense, but there are practical limitations. We show how Kvantify’s FAST-VQE algorithm can deliver great accuracy, performance, superior cost-effectiveness, driving us closer to transformative applications in drug discovery.
Today, we’re announcing a first-of-its-kind advancement in photonic interconnection – a fiber-device interface that can withstand multiple cycles of cooling to cryogenic temperatures – and back – without introducing additional losses.
Constructing an “end-to-end” quantum algorithm: a comprehensive technical resource for algorithms designers
Today we’re introducing Quantum algorithms: A survey of applications and end-to-end complexities. This is a comprehensive resource, designed for quantum computing researchers and customers who are looking to explore how quantum algorithms will apply to their use cases.
In this post we show how physics-inspired graph neural networks can be used to solve the notoriously hard graph-coloring problem, at scale. This can help in an huge number of familiar resource-allocation problems from sports to rental cars.
Running Jupyter notebooks as Hybrid Jobs on Amazon Braket, you get performance and convenience of jobs, without modifying code. In this post, we show how you can scale up from exploratory notebook to repeatable and reliable experiments on different quantum hardware.
AWS releases open-source software Palace for cloud-based electromagnetics simulations of quantum computing hardware
Today, we are introducing Palace, for PArallel, LArge-scale Computational Electromagnetics, a parallel finite element code for full-wave electromagnetics simulations. Palace is used at the AWS Center for Quantum Computing to perform large-scale 3D simulations of complex electromagnetics models and enable the design of quantum computing hardware. We developed it with support for the scalability and […]
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 . Typically, hundreds of robots operate in a single plant […]
Introduction In recent years, quantum computers have evolved from laboratory experiments available to only a handful of scientists, to research devices that are accessible worldwide through cloud services like Amazon Braket. The impact of cloud access to quantum computers is not limited to laboratory scientists and developers as it allows educators to bring these devices […]