Google · Open Source · Google AI Blog
For all the aspirations of quantum computing, the reality is that unlocking its potential to solve real-world problems is
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This got them thinking…how can Google empower more people to join them on the quest to discover quantum algorithms and applications?
Key facts
- The team have also created supporting documentation that exposes several of the features of the QVM and Cirq 1.0 to enable students to onboard quickly
- Weber is the Sycamore processor that was used in their beyond-classical experiments published in Nature in 2019
- To build your quantum program, you can use Cirq 1.0, the newly released version of their open-source quantum programming framework
- At Google Quantum AI, they have a long history of making tools they build for their own research available to the public free of cost
Summary
Several decades ago, quantum computers were only a concept, a distant idea discussed mostly in lecture halls. For all the aspirations of quantum computing, the reality is that unlocking its potential to solve real-world problems is as challenging as building the quantum computers themselves. At Google Quantum AI, they have a long history of making tools they build for their own research available to the public free of cost. The Quantum Virtual Machine (QVM) emulates the experience and results of programming one of the quantum computers in their lab, from circuit validation to processor infidelity. The Quantum Virtual Machine can be deployed instantly from a Colab notebook and is available free of cost. Weber is the Sycamore processor that was used in their beyond-classical experiments published in Nature in 2019. Once you have deployed your Quantum Virtual Machine, you can run your quantum program on a grid of virtual qubits.