# Quantum Computing - Skills and Agents Backlog (Phase 4)

## Overview

This backlog identifies specialized skills and agents that could enhance the Quantum Computing processes beyond general-purpose capabilities. Each skill or agent is designed to provide domain-specific tooling, validation, or automation for quantum computing workflows.

## Summary Statistics

- **Total Skills Identified**: 32
- **Total Agents Identified**: 20
- **Shared Candidates (Cross-Specialization)**: 10
- **Categories**: 8 (Quantum Frameworks, Circuit Design, Error Management, Quantum Chemistry, Quantum ML, Hardware Integration, Cryptography, Simulation)

---

## Skills

### Quantum Framework Skills

#### 1. qiskit-circuit-builder
**Description**: IBM Qiskit integration skill for quantum circuit construction, transpilation, and execution on IBM Quantum hardware.

**Capabilities**:
- Quantum circuit construction using Qiskit primitives
- Circuit transpilation to native gate sets
- Hardware backend selection and configuration
- Job submission and result retrieval from IBM Quantum
- Circuit visualization and drawing
- Noise model simulation with Aer

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-HW-001: Hardware Backend Configuration
- QC-HW-002: Multi-Platform Deployment

**Tools/Libraries**: Qiskit, Qiskit Aer, Qiskit Terra, Qiskit IBMQ Provider

---

#### 2. cirq-circuit-builder
**Description**: Google Cirq integration skill for quantum circuit design and execution on Google quantum processors.

**Capabilities**:
- Quantum circuit construction using Cirq
- Device-aware circuit compilation
- Noise simulation and characterization
- Virtual and XEB calibration
- Floquet calibration support
- Circuit serialization and import/export

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-HW-001: Hardware Backend Configuration
- QC-HW-002: Multi-Platform Deployment

**Tools/Libraries**: Cirq, Cirq-Google, TensorFlow Quantum

---

#### 3. pennylane-hybrid-executor
**Description**: PennyLane integration skill for hybrid quantum-classical machine learning and variational algorithms.

**Capabilities**:
- Quantum node (QNode) definition and execution
- Automatic differentiation for quantum circuits
- Device-agnostic circuit execution
- Integration with ML frameworks (PyTorch, TensorFlow, JAX)
- Variational algorithm optimization
- Parameter shift rule gradients

**Used By Processes**:
- QC-ALGO-002: Variational Algorithm Implementation (VQE/QAOA)
- QC-ML-001: Quantum Classifier Implementation
- QC-ML-002: Quantum Neural Network Training

**Tools/Libraries**: PennyLane, PennyLane-Lightning, PennyLane plugins

---

#### 4. qsharp-compiler
**Description**: Microsoft Q# skill for quantum algorithm development with the Q# language and Azure Quantum integration.

**Capabilities**:
- Q# program compilation and execution
- Resource estimation for quantum algorithms
- Integration with Azure Quantum
- Quantum simulation with QDK
- T-gate counting and depth analysis
- Quantum chemistry libraries (Microsoft.Quantum.Chemistry)

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-DOC-002: Quantum Resource Estimation
- QC-SW-003: Quantum SDK/Library Development

**Tools/Libraries**: Q#, QDK, Azure Quantum

---

#### 5. braket-executor
**Description**: Amazon Braket integration skill for multi-vendor quantum hardware access and hybrid workflows.

**Capabilities**:
- Circuit execution on IonQ, Rigetti, OQC hardware
- Hybrid job execution with classical processing
- Quantum annealing on D-Wave
- Local simulator execution
- Cost estimation and job management
- Result storage in S3

**Used By Processes**:
- QC-HW-002: Multi-Platform Deployment
- QC-APP-001: Quantum Optimization Application
- QC-SW-002: Quantum-Classical Hybrid System Integration

**Tools/Libraries**: Amazon Braket SDK, AWS Lambda, S3

---

### Circuit Design and Optimization Skills

#### 6. circuit-optimizer
**Description**: Quantum circuit optimization skill for gate reduction, depth minimization, and hardware-aware compilation.

**Capabilities**:
- Circuit depth reduction algorithms
- Gate cancellation and merging
- Peephole optimization
- Template matching optimization
- Commutation analysis
- Hardware topology-aware routing

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-HW-001: Hardware Backend Configuration
- QC-ERR-001: Error Mitigation Strategy Implementation

**Tools/Libraries**: Qiskit transpiler, t|ket>, PyZX

---

#### 7. pyzx-simplifier
**Description**: ZX-calculus based circuit simplification skill for advanced quantum circuit optimization.

**Capabilities**:
- ZX-diagram representation of circuits
- Full simplification via ZX-calculus rules
- T-count minimization
- Clifford circuit extraction
- Ancilla-free circuit optimization
- Visualization of ZX-diagrams

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-ERR-002: Quantum Error Correction Code Implementation

**Tools/Libraries**: PyZX

---

#### 8. tket-compiler
**Description**: Cambridge Quantum (Quantinuum) t|ket> compiler skill for platform-independent circuit optimization.

**Capabilities**:
- Multi-platform compilation
- Phase gadget optimization
- Clifford simplification
- Routing and placement algorithms
- Noise-aware compilation
- Circuit rewriting strategies

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-HW-001: Hardware Backend Configuration
- QC-HW-002: Multi-Platform Deployment

**Tools/Libraries**: pytket, pytket-extensions

---

#### 9. ansatz-designer
**Description**: Parameterized quantum circuit (ansatz) design skill for variational algorithms.

**Capabilities**:
- Hardware-efficient ansatz generation
- UCCSD ansatz construction
- ADAPT-VQE ansatz building
- Expressibility analysis
- Barren plateau detection
- Custom ansatz templates

**Used By Processes**:
- QC-ALGO-002: Variational Algorithm Implementation (VQE/QAOA)
- QC-CHEM-001: Molecular Ground State Energy Calculation
- QC-ML-002: Quantum Neural Network Training

**Tools/Libraries**: Qiskit Nature, PennyLane, Cirq

---

### Error Management Skills

#### 10. mitiq-error-mitigator
**Description**: Error mitigation skill using Mitiq for NISQ device noise reduction.

**Capabilities**:
- Zero-noise extrapolation (ZNE)
- Probabilistic error cancellation (PEC)
- Clifford data regression (CDR)
- Digital dynamical decoupling
- Pauli twirling
- Learning-based error mitigation

**Used By Processes**:
- QC-ERR-001: Error Mitigation Strategy Implementation
- QC-ALGO-002: Variational Algorithm Implementation
- QC-CHEM-001: Molecular Ground State Energy Calculation

**Tools/Libraries**: Mitiq

---

#### 11. qec-code-builder
**Description**: Quantum error correction code implementation skill for fault-tolerant quantum computing.

**Capabilities**:
- Surface code implementation
- Steane code [[7,1,3]] construction
- Color code implementation
- Repetition code for testing
- Syndrome extraction circuits
- Logical gate implementations

**Used By Processes**:
- QC-ERR-002: Quantum Error Correction Code Implementation

**Tools/Libraries**: Stim, PyMatching, QLDPC

---

#### 12. stim-simulator
**Description**: Clifford circuit simulation skill using Stim for error correction studies.

**Capabilities**:
- Fast stabilizer circuit simulation
- Error injection and propagation
- Detector sampling
- Circuit tableau tracking
- Memory-efficient large-scale simulation
- Monte Carlo error rate estimation

**Used By Processes**:
- QC-ERR-002: Quantum Error Correction Code Implementation
- QC-ERR-003: Hardware Noise Characterization

**Tools/Libraries**: Stim, Stimcirq

---

#### 13. pymatching-decoder
**Description**: Minimum-weight perfect matching decoder skill for surface code error correction.

**Capabilities**:
- MWPM decoding for surface codes
- Weighted edge matching
- Detector error model processing
- Logical error rate calculation
- Integration with Stim simulations
- Custom graph construction

**Used By Processes**:
- QC-ERR-002: Quantum Error Correction Code Implementation

**Tools/Libraries**: PyMatching, NetworkX

---

#### 14. rb-benchmarker
**Description**: Randomized benchmarking skill for gate fidelity characterization.

**Capabilities**:
- Standard randomized benchmarking
- Interleaved randomized benchmarking
- Simultaneous RB for crosstalk
- Character benchmarking
- Cycle benchmarking
- Fidelity decay fitting

**Used By Processes**:
- QC-ERR-003: Hardware Noise Characterization
- QC-ALGO-003: Quantum Algorithm Benchmarking

**Tools/Libraries**: Qiskit Experiments, Cirq, True-Q

---

#### 15. noise-modeler
**Description**: Quantum noise modeling skill for simulation and hardware characterization.

**Capabilities**:
- Depolarizing channel modeling
- Amplitude damping models
- Phase damping models
- Crosstalk noise models
- Readout error modeling
- Custom noise model construction

**Used By Processes**:
- QC-ERR-003: Hardware Noise Characterization
- QC-ERR-001: Error Mitigation Strategy Implementation

**Tools/Libraries**: Qiskit Aer, Cirq, PennyLane

---

### Quantum Chemistry Skills

#### 16. openfermion-hamiltonian
**Description**: Molecular Hamiltonian construction skill using OpenFermion.

**Capabilities**:
- Molecular Hamiltonian generation
- Jordan-Wigner transformation
- Bravyi-Kitaev transformation
- Parity transformation
- Second quantization handling
- Symmetry reduction

**Used By Processes**:
- QC-CHEM-001: Molecular Ground State Energy Calculation
- QC-CHEM-002: Hamiltonian Simulation Implementation

**Tools/Libraries**: OpenFermion, OpenFermion-PySCF, OpenFermion-Psi4

---

#### 17. pyscf-interface
**Description**: PySCF quantum chemistry interface for classical electronic structure calculations.

**Capabilities**:
- Hartree-Fock calculations
- Coupled cluster (CCSD) calculations
- Active space selection
- Molecular orbital visualization
- Integral computation
- Basis set management

**Used By Processes**:
- QC-CHEM-001: Molecular Ground State Energy Calculation

**Tools/Libraries**: PySCF, OpenFermion-PySCF

---

#### 18. qiskit-nature-solver
**Description**: Qiskit Nature skill for quantum chemistry and materials science applications.

**Capabilities**:
- VQE ground state solver
- QEOM excited state solver
- Fermionic operator handling
- Molecular driver integration
- Active space reduction
- Lattice model construction

**Used By Processes**:
- QC-CHEM-001: Molecular Ground State Energy Calculation
- QC-CHEM-002: Hamiltonian Simulation Implementation

**Tools/Libraries**: Qiskit Nature, Qiskit Algorithms

---

#### 19. trotter-simulator
**Description**: Hamiltonian simulation skill using Trotter-Suzuki decomposition.

**Capabilities**:
- First-order Trotterization
- Higher-order product formulas
- Time step optimization
- Error bound analysis
- Randomized compilation
- Resource estimation

**Used By Processes**:
- QC-CHEM-002: Hamiltonian Simulation Implementation

**Tools/Libraries**: Qiskit, Cirq, OpenFermion

---

### Quantum Machine Learning Skills

#### 20. quantum-kernel-estimator
**Description**: Quantum kernel computation skill for quantum machine learning.

**Capabilities**:
- Fidelity quantum kernel
- Projected quantum kernel
- Kernel alignment optimization
- Feature map design
- SVM integration with quantum kernels
- Kernel matrix visualization

**Used By Processes**:
- QC-ML-001: Quantum Classifier Implementation

**Tools/Libraries**: Qiskit Machine Learning, PennyLane

---

#### 21. vqc-trainer
**Description**: Variational quantum classifier training skill with gradient optimization.

**Capabilities**:
- Data encoding circuit design
- Variational layer construction
- Gradient-based optimization (SPSA, Adam)
- Cross-validation for QML
- Hyperparameter tuning
- Overfitting detection

**Used By Processes**:
- QC-ML-001: Quantum Classifier Implementation
- QC-ML-002: Quantum Neural Network Training

**Tools/Libraries**: Qiskit Machine Learning, PennyLane, TensorFlow Quantum

---

#### 22. data-encoder
**Description**: Classical data encoding skill for quantum machine learning applications.

**Capabilities**:
- Angle encoding
- Amplitude encoding
- IQP encoding
- Hardware-efficient encoding
- Encoding expressibility analysis
- Data re-uploading strategies

**Used By Processes**:
- QC-ML-001: Quantum Classifier Implementation
- QC-ML-002: Quantum Neural Network Training

**Tools/Libraries**: PennyLane, Qiskit Machine Learning

---

#### 23. barren-plateau-analyzer
**Description**: Analysis skill for detecting and mitigating barren plateaus in variational circuits.

**Capabilities**:
- Gradient variance estimation
- Cost function landscape analysis
- Expressibility vs. trainability tradeoff
- Initialization strategy evaluation
- Local cost function design
- Layer-wise training strategies

**Used By Processes**:
- QC-ML-002: Quantum Neural Network Training
- QC-ALGO-002: Variational Algorithm Implementation

**Tools/Libraries**: PennyLane, Qiskit

---

### Hardware Integration Skills

#### 24. qubit-mapper
**Description**: Qubit mapping and routing skill for hardware topology optimization.

**Capabilities**:
- Initial qubit placement
- SWAP gate insertion
- Routing optimization algorithms
- Topology-aware compilation
- Noise-aware placement
- Heavy-hex and grid topology support

**Used By Processes**:
- QC-HW-001: Hardware Backend Configuration
- QC-ALGO-001: Quantum Circuit Design and Optimization

**Tools/Libraries**: Qiskit, t|ket>, Cirq

---

#### 25. calibration-analyzer
**Description**: Hardware calibration data analysis skill for optimal qubit selection.

**Capabilities**:
- T1/T2 coherence analysis
- Gate error rate parsing
- Readout error analysis
- Crosstalk characterization
- Qubit quality ranking
- Temporal calibration tracking

**Used By Processes**:
- QC-HW-001: Hardware Backend Configuration
- QC-ERR-003: Hardware Noise Characterization

**Tools/Libraries**: Qiskit IBMQ Provider, Cirq-Google

---

#### 26. backend-selector
**Description**: Multi-backend comparison and selection skill for optimal hardware choice.

**Capabilities**:
- Backend capability comparison
- Queue time estimation
- Cost optimization
- Fidelity-based ranking
- Connectivity analysis
- Job prioritization

**Used By Processes**:
- QC-HW-002: Multi-Platform Deployment
- QC-SW-002: Quantum-Classical Hybrid System Integration

**Tools/Libraries**: Qiskit, Braket, Cirq, Azure Quantum

---

### Cryptography and Security Skills

#### 27. pqc-evaluator
**Description**: Post-quantum cryptography evaluation skill for quantum-safe migration.

**Capabilities**:
- NIST PQC standard implementation checks
- Lattice-based algorithm analysis
- Code-based cryptography evaluation
- Hash-based signature verification
- Hybrid classical-PQC schemes
- Migration impact assessment

**Used By Processes**:
- QC-SEC-001: Post-Quantum Cryptography Assessment

**Tools/Libraries**: liboqs, PQClean, OpenSSL

---

#### 28. qrng-generator
**Description**: Quantum random number generation skill for cryptographic applications.

**Capabilities**:
- Hadamard-based randomness generation
- Randomness extraction and post-processing
- NIST SP 800-90B compliance testing
- Entropy rate estimation
- Min-entropy analysis
- Integration with cryptographic APIs

**Used By Processes**:
- QC-SEC-002: Quantum Random Number Generation

**Tools/Libraries**: Qiskit, NIST test suite

---

### Simulation and Resource Skills

#### 29. statevector-simulator
**Description**: Full state vector simulation skill for exact quantum circuit evaluation.

**Capabilities**:
- Dense state vector simulation
- GPU-accelerated simulation (cuQuantum)
- State visualization
- Entanglement entropy calculation
- Fidelity computation
- Memory-efficient techniques

**Used By Processes**:
- QC-ALGO-003: Quantum Algorithm Benchmarking
- QC-SW-001: Quantum Circuit Testing Framework

**Tools/Libraries**: Qiskit Aer, Cirq, cuStateVec

---

#### 30. tensor-network-simulator
**Description**: Tensor network-based simulation skill for large circuit approximation.

**Capabilities**:
- MPS (Matrix Product State) simulation
- PEPS simulation for 2D circuits
- Contraction path optimization
- Truncation error control
- GPU-accelerated contraction
- Circuit cutting support

**Used By Processes**:
- QC-ALGO-003: Quantum Algorithm Benchmarking
- QC-CHEM-002: Hamiltonian Simulation Implementation

**Tools/Libraries**: TensorNetwork, quimb, ITensor, cuTensorNet

---

#### 31. resource-estimator
**Description**: Quantum resource estimation skill for algorithm feasibility analysis.

**Capabilities**:
- Qubit count estimation
- Circuit depth analysis
- T-gate counting
- Error correction overhead
- Runtime projection
- Hardware roadmap comparison

**Used By Processes**:
- QC-DOC-002: Quantum Resource Estimation
- QC-ERR-002: Quantum Error Correction Code Implementation

**Tools/Libraries**: Azure Quantum Resource Estimator, Qiskit

---

#### 32. qubo-formulator
**Description**: QUBO (Quadratic Unconstrained Binary Optimization) formulation skill for optimization problems.

**Capabilities**:
- Problem encoding to QUBO/Ising
- Constraint handling (penalty methods)
- Variable reduction techniques
- D-Wave integration
- QAOA cost Hamiltonian construction
- Solution decoding

**Used By Processes**:
- QC-APP-001: Quantum Optimization Application
- QC-ALGO-002: Variational Algorithm Implementation

**Tools/Libraries**: D-Wave Ocean, PyQUBO, Qiskit Optimization

---

## Agents

### Algorithm Development Agents

#### 1. quantum-circuit-architect
**Description**: Agent specialized in quantum circuit design, optimization, and hardware mapping.

**Responsibilities**:
- Circuit structure design
- Gate sequence optimization
- Depth minimization strategies
- Hardware topology adaptation
- Transpilation optimization
- Resource requirement analysis

**Used By Processes**:
- QC-ALGO-001: Quantum Circuit Design and Optimization
- QC-HW-001: Hardware Backend Configuration

**Required Skills**: qiskit-circuit-builder, cirq-circuit-builder, circuit-optimizer, tket-compiler, qubit-mapper

---

#### 2. variational-algorithm-specialist
**Description**: Agent specialized in variational quantum algorithms including VQE and QAOA.

**Responsibilities**:
- Ansatz architecture design
- Classical optimizer selection
- Hyperparameter tuning
- Convergence analysis
- Barren plateau avoidance
- Benchmark comparison

**Used By Processes**:
- QC-ALGO-002: Variational Algorithm Implementation (VQE/QAOA)
- QC-APP-001: Quantum Optimization Application

**Required Skills**: pennylane-hybrid-executor, ansatz-designer, barren-plateau-analyzer, qubo-formulator

---

#### 3. algorithm-benchmarker
**Description**: Agent specialized in quantum algorithm performance evaluation and comparison.

**Responsibilities**:
- Benchmark suite design
- Simulator vs. hardware comparison
- Scaling analysis
- Quantum advantage assessment
- Statistical significance testing
- Report generation

**Used By Processes**:
- QC-ALGO-003: Quantum Algorithm Benchmarking

**Required Skills**: statevector-simulator, rb-benchmarker, tensor-network-simulator, resource-estimator

---

### Error Management Agents

#### 4. error-mitigation-engineer
**Description**: Agent specialized in NISQ error mitigation strategy implementation.

**Responsibilities**:
- Noise characterization analysis
- Mitigation technique selection
- ZNE configuration
- PEC implementation
- Overhead vs. accuracy tradeoff
- Mitigation validation

**Used By Processes**:
- QC-ERR-001: Error Mitigation Strategy Implementation

**Required Skills**: mitiq-error-mitigator, noise-modeler, rb-benchmarker, calibration-analyzer

---

#### 5. qec-specialist
**Description**: Agent specialized in quantum error correction code design and implementation.

**Responsibilities**:
- QEC code selection
- Encoder/decoder design
- Syndrome extraction optimization
- Threshold analysis
- Decoder implementation
- Fault-tolerant protocol design

**Used By Processes**:
- QC-ERR-002: Quantum Error Correction Code Implementation

**Required Skills**: qec-code-builder, stim-simulator, pymatching-decoder, resource-estimator

---

#### 6. noise-characterizer
**Description**: Agent specialized in quantum hardware noise analysis and modeling.

**Responsibilities**:
- Benchmarking protocol execution
- Noise model construction
- Coherence time measurement
- Crosstalk identification
- Error budget analysis
- Hardware quality assessment

**Used By Processes**:
- QC-ERR-003: Hardware Noise Characterization

**Required Skills**: rb-benchmarker, noise-modeler, calibration-analyzer, stim-simulator

---

### Quantum Chemistry Agents

#### 7. quantum-chemist
**Description**: Agent specialized in quantum chemistry calculations and molecular simulation.

**Responsibilities**:
- Molecular system setup
- Hamiltonian construction
- Active space selection
- VQE execution for chemistry
- Accuracy validation
- Classical method comparison

**Used By Processes**:
- QC-CHEM-001: Molecular Ground State Energy Calculation

**Required Skills**: openfermion-hamiltonian, pyscf-interface, qiskit-nature-solver, ansatz-designer

---

#### 8. hamiltonian-simulator
**Description**: Agent specialized in quantum Hamiltonian simulation.

**Responsibilities**:
- Hamiltonian decomposition
- Simulation method selection
- Trotter step optimization
- Error bound calculation
- Resource estimation
- Time evolution analysis

**Used By Processes**:
- QC-CHEM-002: Hamiltonian Simulation Implementation

**Required Skills**: trotter-simulator, openfermion-hamiltonian, qiskit-nature-solver, tensor-network-simulator

---

### Quantum ML Agents

#### 9. qml-engineer
**Description**: Agent specialized in quantum machine learning model development.

**Responsibilities**:
- Feature map design
- Quantum kernel construction
- Classifier architecture design
- Training pipeline setup
- Performance evaluation
- Classical baseline comparison

**Used By Processes**:
- QC-ML-001: Quantum Classifier Implementation

**Required Skills**: quantum-kernel-estimator, vqc-trainer, data-encoder, pennylane-hybrid-executor

---

#### 10. qnn-trainer
**Description**: Agent specialized in quantum neural network training and optimization.

**Responsibilities**:
- QNN architecture design
- Initialization strategy selection
- Gradient computation configuration
- Barren plateau mitigation
- Training convergence optimization
- Expressibility analysis

**Used By Processes**:
- QC-ML-002: Quantum Neural Network Training

**Required Skills**: vqc-trainer, barren-plateau-analyzer, data-encoder, pennylane-hybrid-executor

---

### Software Engineering Agents

#### 11. quantum-test-engineer
**Description**: Agent specialized in quantum circuit testing and validation frameworks.

**Responsibilities**:
- Test strategy design
- Circuit unit testing
- Integration test development
- Property-based testing
- CI/CD pipeline setup
- Coverage analysis

**Used By Processes**:
- QC-SW-001: Quantum Circuit Testing Framework

**Required Skills**: statevector-simulator, qiskit-circuit-builder, cirq-circuit-builder

---

#### 12. hybrid-system-architect
**Description**: Agent specialized in quantum-classical hybrid system design and integration.

**Responsibilities**:
- Architecture design
- Job scheduling implementation
- Result aggregation
- Classical optimization integration
- Error handling strategies
- Resource management

**Used By Processes**:
- QC-SW-002: Quantum-Classical Hybrid System Integration

**Required Skills**: braket-executor, pennylane-hybrid-executor, backend-selector

---

#### 13. quantum-sdk-developer
**Description**: Agent specialized in quantum software library and SDK development.

**Responsibilities**:
- API design
- Circuit primitive implementation
- Algorithm template creation
- Hardware abstraction layer
- Documentation generation
- Multi-platform support

**Used By Processes**:
- QC-SW-003: Quantum SDK/Library Development

**Required Skills**: qiskit-circuit-builder, cirq-circuit-builder, pennylane-hybrid-executor, tket-compiler

---

### Hardware Integration Agents

#### 14. hardware-integrator
**Description**: Agent specialized in quantum hardware backend configuration and optimization.

**Responsibilities**:
- Backend analysis
- Qubit mapping optimization
- Native gate transpilation
- Calibration data analysis
- Execution validation
- Performance optimization

**Used By Processes**:
- QC-HW-001: Hardware Backend Configuration

**Required Skills**: qubit-mapper, calibration-analyzer, circuit-optimizer, qiskit-circuit-builder

---

#### 15. multi-platform-engineer
**Description**: Agent specialized in cross-platform quantum application deployment.

**Responsibilities**:
- Platform abstraction design
- Cross-platform transpilation
- Unified interface implementation
- Result normalization
- Performance comparison
- Platform documentation

**Used By Processes**:
- QC-HW-002: Multi-Platform Deployment

**Required Skills**: qiskit-circuit-builder, cirq-circuit-builder, braket-executor, tket-compiler, backend-selector

---

### Security Agents

#### 16. pqc-analyst
**Description**: Agent specialized in post-quantum cryptography assessment and migration.

**Responsibilities**:
- Cryptographic inventory
- Vulnerability assessment
- PQC algorithm evaluation
- Migration strategy design
- Implementation guidance
- Compliance documentation

**Used By Processes**:
- QC-SEC-001: Post-Quantum Cryptography Assessment

**Required Skills**: pqc-evaluator, resource-estimator

---

#### 17. qrng-engineer
**Description**: Agent specialized in quantum random number generation implementation.

**Responsibilities**:
- QRNG circuit design
- Randomness validation
- Statistical testing
- Integration implementation
- Security documentation
- Certification support

**Used By Processes**:
- QC-SEC-002: Quantum Random Number Generation

**Required Skills**: qrng-generator, qiskit-circuit-builder, statevector-simulator

---

### Application Development Agents

#### 18. quantum-optimization-engineer
**Description**: Agent specialized in quantum optimization application development.

**Responsibilities**:
- Problem formulation
- QUBO encoding
- QAOA circuit design
- Classical post-processing
- Benchmark analysis
- Application packaging

**Used By Processes**:
- QC-APP-001: Quantum Optimization Application

**Required Skills**: qubo-formulator, ansatz-designer, pennylane-hybrid-executor, variational-algorithm-specialist

---

#### 19. quantum-finance-analyst
**Description**: Agent specialized in quantum computing applications for financial services.

**Responsibilities**:
- Financial model encoding
- Amplitude estimation implementation
- Monte Carlo circuit design
- Risk analysis computation
- Classical validation
- Compliance documentation

**Used By Processes**:
- QC-APP-002: Quantum Finance Application

**Required Skills**: pennylane-hybrid-executor, qiskit-circuit-builder, qubo-formulator

---

### Documentation and Education Agents

#### 20. quantum-documentation-specialist
**Description**: Agent specialized in quantum algorithm and system documentation.

**Responsibilities**:
- Algorithm documentation
- Circuit diagram generation
- Complexity analysis writing
- Tutorial development
- API documentation
- Example notebook creation

**Used By Processes**:
- QC-DOC-001: Quantum Algorithm Documentation
- QC-DOC-002: Quantum Resource Estimation
- QC-EDU-001: Quantum Computing Training Program

**Required Skills**: resource-estimator, statevector-simulator, qiskit-circuit-builder

---

## Process to Skills/Agents Mapping

| Process | Recommended Skills | Recommended Agents | Integrated |
|---------|-------------------|-------------------|------------|
| QC-ALGO-001: Quantum Circuit Design and Optimization | qiskit-circuit-builder, cirq-circuit-builder, circuit-optimizer, tket-compiler, pyzx-simplifier, qubit-mapper | quantum-circuit-architect | [x] |
| QC-ALGO-002: Variational Algorithm Implementation | pennylane-hybrid-executor, ansatz-designer, barren-plateau-analyzer, qubo-formulator | variational-algorithm-specialist | [x] |
| QC-ALGO-003: Quantum Algorithm Benchmarking | statevector-simulator, rb-benchmarker, tensor-network-simulator, resource-estimator | algorithm-benchmarker | [x] |
| QC-ERR-001: Error Mitigation Strategy Implementation | mitiq-error-mitigator, noise-modeler, rb-benchmarker, calibration-analyzer | error-mitigation-engineer | [x] |
| QC-ERR-002: Quantum Error Correction Code Implementation | qec-code-builder, stim-simulator, pymatching-decoder, resource-estimator | qec-specialist | [x] |
| QC-ERR-003: Hardware Noise Characterization | rb-benchmarker, noise-modeler, calibration-analyzer, stim-simulator | noise-characterizer | [x] |
| QC-CHEM-001: Molecular Ground State Energy Calculation | openfermion-hamiltonian, pyscf-interface, qiskit-nature-solver, ansatz-designer | quantum-chemist | [x] |
| QC-CHEM-002: Hamiltonian Simulation Implementation | trotter-simulator, openfermion-hamiltonian, qiskit-nature-solver, tensor-network-simulator | hamiltonian-simulator | [x] |
| QC-ML-001: Quantum Classifier Implementation | quantum-kernel-estimator, vqc-trainer, data-encoder, pennylane-hybrid-executor | qml-engineer | [x] |
| QC-ML-002: Quantum Neural Network Training | vqc-trainer, barren-plateau-analyzer, data-encoder, pennylane-hybrid-executor | qnn-trainer | [x] |
| QC-SW-001: Quantum Circuit Testing Framework | statevector-simulator, qiskit-circuit-builder, cirq-circuit-builder | quantum-test-engineer | [x] |
| QC-SW-002: Quantum-Classical Hybrid System Integration | braket-executor, pennylane-hybrid-executor, backend-selector | hybrid-system-architect | [x] |
| QC-SW-003: Quantum SDK/Library Development | qiskit-circuit-builder, cirq-circuit-builder, pennylane-hybrid-executor, tket-compiler | quantum-sdk-developer | [x] |
| QC-HW-001: Hardware Backend Configuration | qubit-mapper, calibration-analyzer, circuit-optimizer, qiskit-circuit-builder | hardware-integrator | [x] |
| QC-HW-002: Multi-Platform Deployment | qiskit-circuit-builder, cirq-circuit-builder, braket-executor, tket-compiler, backend-selector | multi-platform-engineer | [x] |
| QC-SEC-001: Post-Quantum Cryptography Assessment | pqc-evaluator, resource-estimator | pqc-analyst | [x] |
| QC-SEC-002: Quantum Random Number Generation | qrng-generator, qiskit-circuit-builder, statevector-simulator | qrng-engineer | [x] |
| QC-APP-001: Quantum Optimization Application | qubo-formulator, ansatz-designer, pennylane-hybrid-executor | quantum-optimization-engineer | [x] |
| QC-APP-002: Quantum Finance Application | pennylane-hybrid-executor, qiskit-circuit-builder, qubo-formulator | quantum-finance-analyst | [x] |
| QC-DOC-001: Quantum Algorithm Documentation | resource-estimator, statevector-simulator, qiskit-circuit-builder | quantum-documentation-specialist | [x] |
| QC-DOC-002: Quantum Resource Estimation | resource-estimator, qsharp-compiler | quantum-documentation-specialist | [x] |
| QC-EDU-001: Quantum Computing Training Program | statevector-simulator, qiskit-circuit-builder, pennylane-hybrid-executor | quantum-documentation-specialist | [x] |

---

## Shared Candidates (Cross-Specialization)

These skills and agents could be shared with other specializations:

### Shared Skills

1. **pqc-evaluator** - Useful for Security/Cryptography specialization for quantum-safe migration
2. **statevector-simulator** - Applicable to HPC and scientific computing for quantum simulation research
3. **tensor-network-simulator** - Valuable for HPC and physics simulation specializations
4. **resource-estimator** - Useful for DevOps/SRE for quantum workload planning
5. **qubo-formulator** - Applicable to Algorithms/Optimization specialization for combinatorial problems
6. **pyscf-interface** - Valuable for Computational Chemistry domain specialization

### Shared Agents

1. **quantum-optimization-engineer** - Optimization expertise applicable to Operations Research specialization
2. **quantum-finance-analyst** - Finance expertise applicable to Finance/Accounting business domain
3. **pqc-analyst** - Security expertise applicable to Security/Compliance specialization
4. **quantum-documentation-specialist** - Documentation expertise applicable to Technical Documentation specialization

---

## Implementation Priority

### High Priority (Core Quantum Workflows)
1. qiskit-circuit-builder
2. cirq-circuit-builder
3. pennylane-hybrid-executor
4. circuit-optimizer
5. mitiq-error-mitigator
6. statevector-simulator
7. quantum-circuit-architect (agent)
8. variational-algorithm-specialist (agent)

### Medium Priority (Specialized Applications)
1. openfermion-hamiltonian
2. qiskit-nature-solver
3. quantum-kernel-estimator
4. ansatz-designer
5. noise-modeler
6. tket-compiler
7. quantum-chemist (agent)
8. qml-engineer (agent)
9. error-mitigation-engineer (agent)

### Lower Priority (Advanced Features)
1. qec-code-builder
2. stim-simulator
3. pymatching-decoder
4. pyzx-simplifier
5. tensor-network-simulator
6. qsharp-compiler
7. pqc-evaluator
8. qec-specialist (agent)
9. multi-platform-engineer (agent)

---

## Notes

- All quantum skills should support multiple backend execution (simulator and hardware)
- Skills should implement standardized circuit input/output schemas for composability
- Error handling should distinguish between quantum hardware errors and classical errors
- Agents should provide detailed explanations of quantum concepts for non-expert users
- Skills should cache expensive computations (transpilation, tomography) where appropriate
- Hardware-dependent skills should gracefully degrade to simulator when hardware unavailable
- All skills should track shot counts and circuit executions for cost estimation
- Agents should validate circuit correctness before hardware submission
- Skills should support asynchronous job submission for long-running hardware executions
- Documentation should include both mathematical notation and practical code examples

---

## Version History

| Version | Date | Author | Changes |
|---------|------|--------|---------|
| 1.0 | 2026-01-24 | Babysitter AI | Initial skills and agents backlog creation |
