The new program allows researchers to cut through waiting queues or wait times while providing the option to connect with experts to seek guidance on quantum workloads. At its ongoing re:Invent 2023 conference, AWS on Monday announced a new program, dubbed Amazon Braket Direct to offer researchers direct, private access to quantum computers. The program is part of AWS’ managed quantum computing service, named Amazon Braket, which was introduced in 2020. Amazon Bracket Direct allows researchers across enterprises to get private access to the full capacity of various quantum processing units (QPUs) without any wait time and also provides the option to receive expert guidance for their workloads from AWS’ team of quantum computing specialists, AWS said. Currently, the Direct program supports the reservation of IonQ Aria, QuEra Aquila, and Rigetti Aspen-M-3 quantum computers. The IonQ is priced at $7,000 per hour and the QuEra Aquila is priced at $2,500 per hour. The Aspen-M-3 is priced slightly higher at $3,000 per hour. While reservations can be canceled up to 48 hours in advance at no charge, the expert advice offerings are billed separately from Braket, the company said, adding that the prices can be reviewed at the Braket section of the AWS Management Console. Further, AWS said that researchers subscribing to the program will also get early access to features and devices with limited availability. As part of Amazon Braket, AWS will provide fully managed Jupyter notebooks, which can be used to build quantum algorithms, share code, test algorithms, and visualize results. “When you create a notebook in Amazon Braket, it will be hosted and billed by Amazon SageMaker, the AWS machine learning service,” the company said, adding that researchers can choose their preferred instance type to run each notebook and will be billed on a per hour basis. Related content analysis Beyond the usual suspects: 5 fresh data science tools to try today The mid-month report includes quick tips for easier Python installation, a new VS Code-like IDE just for Python and R users, and five newer data science tools you won't want to miss. By Serdar Yegulalp Jul 12, 2024 2 mins Python Programming Languages Software Development analysis Generative AI won’t fix cloud migration You’ve probably heard how generative AI will solve all cloud migration problems. It’s not that simple. Generative AI could actually make it harder and more costly. By David Linthicum Jul 12, 2024 5 mins Generative AI Artificial Intelligence Cloud Computing news HR professionals trust AI recommendations HireVue survey finds 73% of HR professionals trust AI to make candidate recommendations, while 75% of workers are opposed to AI making hiring decisions. By Paul Krill Jul 11, 2024 3 mins Technology Industry Careers how-to Safety off: Programming in Rust with `unsafe` What does it mean to write unsafe code in Rust, and what can you do (and not do) with the 'unsafe' keyword? The facts may surprise you. By Serdar Yegulalp Jul 11, 2024 8 mins Rust Programming Languages Software Development Resources Videos