Boulder Opal

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Boulder Opal provides autonomous calibration, control, and performance management for quantum hardware via a Python client, enabling real-time optimization, benchmarking, and multi-platform integration.

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Boulder Opal is an advanced software platform designed to provide intelligent autonomy for quantum computer calibration and performance management. It leverages sophisticated algorithms to enable true autonomous control of quantum hardware, moving beyond scripted automation to dynamically optimize quantum processor calibration in real time.

Key features of Boulder Opal include support for diverse quantum hardware systems, integration capabilities with major cloud quantum platforms, and advanced benchmarking tools for improved efficiency, speed, and stability at utility scale. Its autonomy technology facilitates consistent calibration and error reduction, which are critical for enhancing quantum computer performance and reliability. The platform has been deployed in significant quantum computing installations, demonstrating its practical value for real-world quantum workloads.

This app supports quantum computing researchers and developers by improving calibration accuracy, enabling performance management across different hardware architectures, and providing tools for running complex quantum operations with higher stability. By addressing key bottlenecks in quantum system control and automation, Boulder Opal contributes to advancing commercial quantum computing infrastructure and workload execution.

Boulder Opal empowers hardware teams to solve their biggest challenges. Boulder Opal provides cutting-edge control technologies through a familiar Python client so users can effectively design, automate, and scale quantum hardware. With the Scale Up package, Q-CTRL uses industry-leading control expertise to collaborate on custom Boulder Opal solutions to solve critical performance and operational problems.

Website: q-ctrl.com

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