Zapata and Rigetti partnership has been one of the strongest collaborations in the quantum industry. With its newest project together, they team up once again and introduce the industry’s first compilation tool chain specifically intended for hybrid quantum-classical algorithms.
Zapata Computing (“Zapata”), a leading corporate software company for quantum-classical applications, and Rigetti Holdings, Inc. (“Rigetti”), a pioneer in hybrid quantum-classical computing, has announced another yet milestone together. Zapata’s unified platform for creating and delivering quantum-ready applications at enterprise scale, Orquestra, will be integrated with Rigetti’s Quantum Cloud Services as part of the project (QCS). Rigetti QPUs, including the company’s recently released 80Q Aspen-M system, can be accessed through the connection. This new full-stack combination is intended to make the new device’s access easier and hybrid applications’ execution faster.
Within a hybrid loop, this new collaborative project intends to create a compiler stack that optimizes code for both quantum and classical hardware feature sets. Users will be able to perform end-to-end hybrid quantum operations that include a range of traditional hardware using the toolchain, which is based on recent LLVM compiler technology. On the Orquestra platform, the companies expect the linked workflows to assist speed up computations.
The most popular quantum computing platform for designing and running actual application workflows is a hybrid infrastructure that combines quantum computers with traditional processors in the cloud. Many popular quantum software tools, on the other hand, solely deal with the quantum side of a hybrid algorithm and are generally tailored to certain hardware back end. Enterprises will benefit from an end-to-end compilation pipeline that is optimized for quantum sampling and quantum machine learning applications as a result of the Orquestra/QCS integration, which will be accessible to Zapata customers and Rigetti Quantum Cloud Services users in Q2 of 2022.
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