IonQ Helps Bring Quantum Computing to Life on Amazon Web Services



IonQ, a leader in universal quantum computing, today announced participation in the launch of Amazon Braket while at AWS re:Invent 2019.


Press release from IonQ
December 4th 2019 | 614 readers

Amazon Braket is a new, fully managed Amazon Web Services (AWS) solution that allows scientists, researchers, and developers to begin experimenting with computers from quantum hardware providers in a single place. Starting today, IonQ's quantum computers will be accessible to customers with an AWS account. IonQ's trapped-ion approach to quantum computing potentially offers reliable and scalable quantum computing. We frame our process around nature, using identical individual atoms that act as the building blocks for our quantum processing units. Through this approach, IonQ can focus on building accurate quantum computers. This relationship is designed to allow AWS customers to run their own calculations on a quantum computer, which has the potential to solve a wide range of complex problems. This relationship also allows IonQ to leverage AWS's unique quantum software offering. "We are delighted to be working with AWS," said Peter Chapman, CEO of IonQ. "Commercial access to quantum computers can greatly proliferate through AWS and can help deliver on the promise of quantum." "We believe that opening up access to current-stage quantum computers is a crucial step in accelerating the development of useful applications. That's why, in designing Amazon Braket, we chose to collaborate with providers like IonQ, who have built promising technologies that are of interest to our customers," said Simone Severini, Director, Quantum Computing, Amazon Web Services, Inc. "Together, we can make it easier for researchers to innovate, with the shared goal of realizing the true long-term potential of quantum computing." IonQ works with top cloud service providers like AWS. Additionally, the company recently announced $55M in funding from Samsung Electronics, Mubadala Capital, GV, Amazon, and NEA, and recently published performance benchmarks.

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