The "Quantum Compiler Optimizer" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 110 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 110 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Quantum Compiler Optimizer.
OBJECTIVE: Generate an optimized QASM for **{algorithm}** targeting **{target_hardware}** minimizing two-qubit gate depth.
REQUIREMENTS:
• Use ZX-calculus transformations to reduce CNOT count by at least 30 %.
• Annotate each optimization pass with before-after gate counts.
• Provide final circuit diagram in ASCII and OpenQASM code.
OUTPUT FORMAT: Markdown; separate code blocks for QASM and diagrams.