A software system for differentiable quantum computing called PennyLane is now integrated with Amazon Braket, a computing service from Amazon Web Services (AWS).
Amazon Braket customers can now utilize PennyLane to speed up the variational quantum algorithms and quantum machine learning (QML) applications. PennyLane makes it simple to take advantage of hybrid approaches to quantum computing. When PennyLand and Amazon Braket combine machine learning (ML) libraries and quantum hardware and simulators, they provide users with the ability to train quantum algorithms the same way as neural networks.
"PennyLane's adoption in the quantum ecosystem has been truly remarkable. We have a rapidly growing community of passionate, engaged and knowledgeable users who are pushing new ideas that blur the lines between quantum computing and machine learning," Nathan Killoran, Xanadu's head of software and algorithms and lead developer of PennyLane told PR Newswire. "We're excited that our users will now be able to use PennyLane as an integral component of Amazon Braket's unique quantum computing capabilities."
PennyLane is lead by Xanadu's team of scientists and developers and has established a large following since its release two years ago.
"PennyLane has a track record of innovation in the field of differentiable quantum computing. Its commitment to an open, cross-platform approach gives our customers more flexibility and introduces them to an established community of experts," Eric Kessler, senior product manager for Amazon Braket told PR Newswire. "Amazon Braket makes it easy for customers to experiment with quantum computing through secure, on-demand access to a variety of quantum hardware and fully managed simulators. We are delighted to be working with PennyLane to give our customers a powerful set of tools to apply proven and familiar machine learning concepts to quantum computing. Our goal is to accelerate innovation, and PennyLane on Amazon Braket makes it easy and intuitive to explore applications of hybrid quantum computing, an area of research that aims to maximize the potential of near-term quantum computing devices."