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Classiq Release 0.26 - It’s Out
Great news! We’re thrilled to announce that version 0.26 of the Classiq platform is now live! This update is a significant milestone for us, brimming with innovative features and improvements designed to streamline your quantum computation workflow. In developing version 0.26, we focused on the concept of simplicity, making the process of running quantum algorithms and handling advanced workloads more accessible than ever before.
Get Started Faster
We’ve improved the registration and on-boarding experience. New users now have easy access to educational resources via the “learn more” button, and can run an example algorithm on real quantum hardware, or a simulator, within a few clicks.
Built-in Model Made Easy
We’re big believers in inspiration and its role in innovation. That’s why we’re committed to provide our users with a collection of quantum algorithms that can be executed directly from the development environment. As part of these efforts we’ve improved the selection of built-in algorithms. See the docs for more information.
Once you have synthesized a model to a circuit, you can do more with it. We’ve also added support for exporting circuits to additional output formats.
Seamless Automatic Execution
Prepare for a huge leap forward in how execution works. Not only is it much easier to filter through the different hardware options, most execution options are handled automatically! For example, when you select Grover search, the Amplitude Amplification execution is taken care of. That means It’s much easier to run your models. This simplification, along with some other tweaks, makes the execution screen simpler and more useful than ever.
And one more thing — Classiq SDK On Google Colab
You can now run the Classiq SDK on Google Colab, allowing for a python-based quantum computation workflow running purely on the cloud. There are many more updates to the platform and the SDK. Read all about it on our release notes!
Great news! We’re thrilled to announce that version 0.26 of the Classiq platform is now live! This update is a significant milestone for us, brimming with innovative features and improvements designed to streamline your quantum computation workflow. In developing version 0.26, we focused on the concept of simplicity, making the process of running quantum algorithms and handling advanced workloads more accessible than ever before.
Get Started Faster
We’ve improved the registration and on-boarding experience. New users now have easy access to educational resources via the “learn more” button, and can run an example algorithm on real quantum hardware, or a simulator, within a few clicks.
Built-in Model Made Easy
We’re big believers in inspiration and its role in innovation. That’s why we’re committed to provide our users with a collection of quantum algorithms that can be executed directly from the development environment. As part of these efforts we’ve improved the selection of built-in algorithms. See the docs for more information.
Once you have synthesized a model to a circuit, you can do more with it. We’ve also added support for exporting circuits to additional output formats.
Seamless Automatic Execution
Prepare for a huge leap forward in how execution works. Not only is it much easier to filter through the different hardware options, most execution options are handled automatically! For example, when you select Grover search, the Amplitude Amplification execution is taken care of. That means It’s much easier to run your models. This simplification, along with some other tweaks, makes the execution screen simpler and more useful than ever.
And one more thing — Classiq SDK On Google Colab
You can now run the Classiq SDK on Google Colab, allowing for a python-based quantum computation workflow running purely on the cloud. There are many more updates to the platform and the SDK. Read all about it on our release notes!
About "The Qubit Guy's Podcast"
Hosted by The Qubit Guy (Yuval Boger, our Chief Marketing Officer), the podcast hosts thought leaders in quantum computing to discuss business and technical questions that impact the quantum computing ecosystem. Our guests provide interesting insights about quantum computer software and algorithm, quantum computer hardware, key applications for quantum computing, market studies of the quantum industry and more.
If you would like to suggest a guest for the podcast, please contact us.
