Rigetti Computing, a popular startup within the quantum computing space, launched the public beta of its Quantum Cloud Services (QCS) platform. It was last year in September when Rigetti had announced the details regarding its first Quantum Cloud Services platform.
“Quantum Cloud Services platform is the fastest quantum computing platform available today. We’ve eliminated much of the overhead associated with the exchange between quantum and classical compute, resulting in up to a 30x improvement in program runtime over web API models”, says Peter Karalekas, Quantum Software Engineer at Rigetti Computing.
The new QCS platform comes with an all-new access model for quantum programming which is centered around an integrated cloud architecture. QCS offers developers access to Rigetti’s quantum processors and the classical computing resources that are necessary for building and testing the quantum algorithms on the platform.
Once users have registered on the platform, they can access their own dedicated Quantum Machine Image that comes with preloaded tools necessary to build quantum programs (such as pyQuil and quantum simulator). Rigetti team has also deployed two Aspen QPUs to the QCS platform that can be booked via an online reservation system available in the new QCS web dashboard. Moreover, all Beta users will receive $5,000 in credits for running programs on the QPU during their first month.
According to Betsy Masiello, VP Product at Rigetti, the company is not only making QCS available but are also opening up access to QCS Developer Partner applications i.e. the first set of applications built by Rigetti’s Developer Partners. These applications include QCompress, QClassify, QuantumFreeze, and Quantum Feature Detector.
Apart from QCS developer partners, there are more than 30 leading scientists from around the world who have signed on themselves as QCS Research Partners. These scientists have worked across different domains such as characterizing and benchmarking quantum hardware, along with computational research across biology, chemistry, and machine learning. Moreover, these research partners get to publish their results, share their data, code, as well as open-source the tools and libraries that they create on the QCS platform.
For more details, check out the Rigetti Computing official website.
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