Open Issues Need Help
View All on GitHub AI/ML • Abstraction Models
AI Summary: The task involves designing and implementing a complex microservices-based application that processes Large Language Model (LLM) outputs, transforming them into quantum symbolic registers. This includes several stages: ingesting LLM output, creating embeddings, parsing the symbolic structure, mapping values to quantum states, constructing and executing quantum circuits, and finally storing and monitoring the results. The application requires expertise in various technologies, including LLM interaction, embedding models, graph databases, quantum computing frameworks (Qiskit/Cirq), and cloud infrastructure (Kubernetes, message queues, databases).
Complexity:
5/5
documentation help wanted