Prompt Cards

Specify a Sankey diagram to show energy flows from source to end use, including losses. Return node/link CSV and a config snippet for a typical JS chart library.

Create a process flow diagram in Mermaid that highlights bottlenecks and rework loops. Include annotations for cycle time and WIP. Provide example code and a legend.

Design a dashboard spec that visualizes OEE by line, shift, and product as a heatmap. Provide the data model (tables/fields), API endpoints, and color scale thresholds. Return as a JSON schema and an example payload.

Sketch a high-level resource estimation: logical qubits, code distance, T gate count, and runtime for a toy algorithm. Explain assumptions clearly and return a table with optimistic/base/pessimistic scenarios.

Create an error budget calculator that allocates total error across depth, readout, and optimizer noise. Provide equations and a worked example. End with a rule-of-thumb table by device size.

Define a benchmarking suite for variational algorithms: datasets, seed control, metrics (energy error, convergence time), and reproducibility notes. Output: CSV spec (metrics) and YAML (suite config).

Describe how to encode a directed graph into a quantum walk operator. Include oracle construction ideas, coin vs shift operators, and observables to measure. Output a step list and pitfalls to avoid.

Explain parameter-shift gradients for variational circuits with a simple example. Show the numeric finite-difference alternative and compare variance/cost. Provide a tiny test harness.

Propose how to split compute between CPU, GPU, and QPU for a variational algorithm. Provide a pipeline diagram description, and give heuristics for batching, latency hiding, and caching parameter shifts.

Design a quantum kernel or feature map for a binary classifier. Include encoding scheme, circuit depth estimation, and classical SVM pairing. Return circuit description in a textual gate list and a short comparison to a classical RBF kernel.

Create a plan to characterize noise on a NISQ device: T1/T2, readout error, crosstalk notes. Recommend mitigation: measurement error mitigation, dynamical decoupling, zero-noise extrapolation. Output as YAML plus a small experiment schedule table.

Outline a VQE workflow for estimating ground state energy of a small molecule. Specify ansatz choices (UCCSD vs hardware-efficient), mapping (Jordan–Wigner/Bravyi–Kitaev), optimizer options, and stopping criteria. Provide a minimal code sketch and a CSV of hyperparameters.