Key Findings
Aegiq’s Artemis photonic quantum computer, deployed at the UK’s National Quantum Computing Centre (NQCC), has achieved a threefold reduction in weekly engineering time by integrating NVIDIA Ising AI models into its calibration workflow. This automation allows the system to maintain high performance while reducing the reliance on specialist expertise for routine calibration tasks.
Technical Details
The system employs the NVIDIA Ising Calibration Vision-Language Model (VLM), which runs locally on an NVIDIA DGX Spark to ensure the low-latency inference required for real-time control. The VLM automatically balances three key performance metrics for the single photon source: brightness, purity, and indistinguishability.
Aegiq utilizes an agent-based architecture to manage the process. Users interact with the system via natural language prompts, such as “Check the performance of the single photon source” or requests to find optimal values for laser power, wavelength, and source bias. The agents autonomously develop and execute calibration plans, iteratively analyzing results to optimize performance. The VLM’s pre-existing training across multiple quantum modalities allowed for immediate application to these tasks without additional specialized training.
Background & Context
Previously, calibration was a manual process that demanded significant engineering time and limited overall system uptime. By shifting to an AI-driven approach, Aegiq aims to increase stability and uptime for its customers. The current deployment on the Artemis system has successfully achieved target performance metrics for this first-generation quantum computer.
Significance & Outlook
Aegiq is expanding the use of NVIDIA Ising technology beyond calibration; the company is exploring NVIDIA Ising decoding for quantum error correction within its QGATE architecture. This dual application is part of a broader strategy to redesign calibration routines and workflows around an AI-enhanced paradigm. These developments are intended to prepare the system for the scaling and implementation of future fault-tolerant quantum computers.
Source: https://quantumzeitgeist.com/aegiqs-quantum-computer-reduces-engineering/
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