Q-CTRL Digest
Intelligent autonomy for frictionless quantum device bring-up
March 14, 2025
Industry leaders
AI and quantum
The intersection of quantum computing and AI is one of the most exciting opportunities of the century - combining two multi-trillion-dollar market opportunities.
We often hear exciting stories about new forms of quantum-powered AI in the popular press; the first step towards realizing a future of “Quantum AI” begins by applying AI as a new tool allowing us to access nature on the quantum level.
Intelligent autonomy, driven by physics-informed AI, enables hardware vendors to perform superior device calibration, tuneup, and operation, delivering better performance and faster scaling. Pursuing “AI for quantum” today actually accelerates our path to a future where new quantum computers power next-generation AI systems in a virtuous cycle.
AI-for-Quantum delivers Quantum-for-AI. What might Quantum-for-AI bring?
AI is already transforming the way quantum computers are built and operated
Learn more about how intelligent autonomy is making quantum technology a reality through our technology for AI-powered QPU auto-calibration and error-reducing performance management for algorithm execution at peak performance.
Gain a competitive advantage with quantum technology
We build educational and developer tools that help industry experts get ahead. With our application partners, you can gain real strategic advantages for the use cases that matter most to your business.
Real-world use cases
Enabling data loading for quantum machine learning with Fire Opal
BlueQubit demonstrated groundbreaking loading of complex distribution information onto 20 qubits for a QML application by using our error suppression product.
8X
Better performance in terms of Total Variational Distance (TVD), which measures the deviation from perfect data loading.
Read the case study
As we develop novel techniques to solve some of the quantum industry’s hardest challenges, Fire Opal is an essential tool to reduce the impact of hardware noise and demonstrate successful results with deeper and wider circuits.
Hayk Tepanyan
Hayk Tepanyan
,
Blue Qubit
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