Maksym Husarov

Quantum Reservoirs as External Decision Layers for LLMs: Evidence from RAG and Agentic Systems

I evaluated whether a quantum AI reservoir can improve the decisions produced by retrieval-augmented generation (RAG) and tool-using Agentic workflows. Two complementary experiments used the same five workflow variants: RAG, RAG + QR, Agentic, Agentic + QR, and LLM + QR. Each exp...

Quantum Reservoir-Assisted Context Orchestration for Large Language Models: A 500-Prompt Paired Evaluation

Large language models increasingly operate within systems that provide retrieved knowledge, policies, tool descriptions, workflow state, and other contextual signals. This work investigates Quantum Reservoir Assist, a pre-generation context-orchestration layer that uses a CUDA-Q-...

Quantum Reservoir-Assisted Context Orchestration for Large Language Models: A 500-Prompt Paired Evaluation

Large language models increasingly operate within systems that provide retrieved knowledge, policies, tool descriptions, workflow state, and other contextual signals. This work investigates Quantum Reservoir Assist, a pre-generation context-orchestration layer that uses a CUDA-Q-...