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Dave AI
Ansatz Designer
Parameterized quantum circuit (ansatz) design skill for variational algorithms
instructions.md
--- name: ansatz-designer-fd1f579c7f2f description: Parameterized quantum circuit (ansatz) design skill for variational algorithms allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: quantum-computing domain: science category: circuit-design phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:np-hard-heuristics] workflows: [workflow:experiment-design] roles: [role:research-scientist, role:research-engineer] --- # Ansatz Designer ## Purpose Provides expert guidance on designing parameterized quantum circuits (ansatze) for variational quantum algorithms, balancing expressibility with trainability. ## Capabilities - Hardware-efficient ansatz generation - UCCSD ansatz construction - ADAPT-VQE ansatz building - Expressibility analysis - Barren plateau detection - Custom ansatz templates - Entanglement structure design - Layer depth optimization ## Usage Guidelines 1. **Problem Analysis**: Determine ansatz requirements based on target Hamiltonian 2. **Architecture Selection**: Choose between hardware-efficient and problem-inspired ansatze 3. **Expressibility Testing**: Evaluate ansatz capacity to represent target states 4. **Trainability Assessment**: Check for barren plateau indicators 5. **Hardware Adaptation**: Modify ansatz for target hardware connectivity ## Tools/Libraries - Qiskit Nature - PennyLane - Cirq - TensorFlow Quantum--- name: ansatz-designer-fd1f579c7f2f description: Parameterized quantum circuit (ansatz) design skill for variational algorithms allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: quantum-computing domain: science category: circuit-design phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:np-hard-heuristics] workflows: [workflow:experiment-design] roles: [role:research-scientist, role:research-engineer] --- # Ansatz Designer ## Purpose Provides expert guidance on designing parameterized quantum circuits (ansatze) for variational quantum algorithms, balancing expressibility with trainability. ## Capabilities - Hardware-efficient ansatz generation - UCCSD ansatz construction - ADAPT-VQE ansatz building - Expressibility analysis - Barren plateau detection - Custom ansatz templates - Entanglement structure design - Layer depth optimization ## Usage Guidelines 1. **Problem Analysis**: Determine ansatz requirements based on target Hamiltonian 2. **Architecture Selection**: Choose between hardware-efficient and problem-inspired ansatze 3. **Expressibility Testing**: Evaluate ansatz capacity to represent target states 4. **Trainability Assessment**: Check for barren plateau indicators 5. **Hardware Adaptation**: Modify ansatz for target hardware connectivity ## Tools/Libraries - Qiskit Nature - PennyLane - Cirq - TensorFlow Quantum
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.