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README.md

FSharp.Azure.Quantum Examples

Comprehensive examples organized by business value and technical complexity

This directory contains 60+ examples demonstrating the FSharp.Azure.Quantum library, organized from business-focused (Level 1) to research/educational (Level 4).

Example Categorization

Examples are categorized into 4 levels based on business utility and technical complexity:

  • Level 1 - Business-Ready Solutions (Start Here!)
  • Level 2 - Practical Optimization Problems
  • Level 3 - Advanced Quantum Algorithms
  • Level 4 - Research & Educational (Quantum Physics)

Level 1: Business-Ready Solutions

For: Business analysts, product managers, enterprise developers
Goal: Solve real-world problems without quantum knowledge
Quantum Expertise Required: None (abstracted away)

Machine Learning & AI

Fraud Detection & Security

  • BinaryClassification/FraudDetection.fsx START HERE
    Detect fraudulent transactions using quantum ML
    Use Case: Banking, e-commerce, insurance fraud detection
    ROI: Reduce fraud losses by 20-40%, improve detection accuracy
    Ready for: Production (with LocalBackend for <1000 transactions/sec)

  • AnomalyDetection/SecurityThreatDetection.fsx
    Identify network intrusions and security threats
    Use Case: SIEM integration, real-time threat monitoring
    ROI: Detect zero-day attacks, reduce false positives by 30%

Customer Intelligence

AutoML

  • AutoML/QuickPrototyping.fsx EASIEST START
    Zero-config machine learning - just provide data
    Use Case: Rapid prototyping, non-ML experts
    ROI: 10x faster model development, no ML expertise needed

  • AutoML/CancellationAndProgressExample.fsx
    Production AutoML with progress tracking and cancellation
    Use Case: Long-running model searches, production ML pipelines

Workforce & Operations

Scheduling & Resource Allocation

  • JobScheduling/ConstraintScheduler_Example.fsx RECOMMENDED
    Schedule employees/resources with hard and soft constraints
    Use Case: Workforce management, cloud VM allocation, manufacturing
    ROI: $25,000/hour savings (validated in powerplant optimization)

  • JobScheduling/JobScheduling.fsx
    Task scheduling with dependencies and resource constraints
    Use Case: Project management, manufacturing workflows
    ROI: Minimize makespan, optimize resource utilization

Supply Chain & Logistics

Coverage & Set Cover

  • CoverageOptimizer/CoverageOptimizer_Example.fsx NEW
    Minimum-cost set cover (facility placement, sensor deployment, test selection)
    Use Case: Facility placement, sensor networks, test suite minimization
    ROI: Minimize coverage costs while guaranteeing complete coverage

Pairing & Matching

  • ResourcePairing/ResourcePairing_Example.fsx NEW
    Optimal pairing/matching maximizing compatibility scores
    Use Case: Mentor-mentee matching, team formation, interview scheduling
    ROI: Better team productivity through optimal skill alignment

Bin Packing & Loading

  • PackingOptimizer/PackingOptimizer_Example.fsx NEW
    Minimize bins/containers needed to pack items
    Use Case: Container shipping, server allocation, storage optimization
    ROI: Reduce container/VM costs by minimizing wasted capacity

Network & Social Analysis

Drug Discovery & Pharmaceutical

  • DrugDiscovery/BindingAffinity.fsx 🧬 NEW
    VQE for protein-ligand binding energy calculation
    Quantum Advantage: ✅ Exponential (electron correlation)
    Use Case: Lead optimization, selectivity calculations

  • DrugDiscovery/ReactionPathway.fsx 🧬 NEW
    VQE for drug metabolism (CYP450 activation barriers)
    Quantum Advantage: ✅ Exponential (transition state multiconfigurational)
    Use Case: Half-life prediction, metabolite identification

  • DrugDiscovery/CaffeineEnergy.fsx 🧬 NEW
    Fragment Molecular Orbital VQE for caffeine (drug-like molecule)
    Quantum Advantage: ✅ Exponential (electron correlation)
    Use Case: Lead optimization, fragment-based drug design

  • DrugDiscovery/DrugDiscoverySolvers_Example.fsx NEW
    QAOA-based drug discovery: independent set (toxicity), influence maximization (target ID), diverse selection (library design)
    Use Case: Hit-to-lead filtering, target pathway analysis, compound library diversification
    ROI: Accelerate early-stage pipeline with quantum-classical hybrid screening

  • DrugDiscovery/MolecularSimilarity.fsx
    Quantum kernel similarity for virtual screening
    Quantum Advantage: ⚠️ Unproven on NISQ
    Recommendation: Use classical Tanimoto for production

Financial Risk Management

  • FinancialRisk/QuantumVaR.fsx 📊
    Value-at-Risk with quantum amplitude estimation
    Quantum Advantage: ✅ Quadratic O(1/ε) vs O(1/ε²)
    Use Case: Regulatory capital (Basel III)

  • FinancialRisk/StressTesting.fsx 📊 NEW
    Multi-scenario stress testing (9 crisis scenarios)
    Quantum Advantage: ✅ Quadratic (amplitude estimation)
    Use Case: CCAR/DFAST regulatory compliance

  • FinancialRisk/ExoticOptions.fsx 📊 NEW
    Barrier and lookback options with Greeks
    Quantum Advantage: ✅ Quadratic (path-dependent MC)
    Use Case: Exotic derivatives pricing


Level 2: Practical Optimization Problems

For: Developers, data scientists, operations research professionals
Goal: Solve combinatorial optimization with quantum acceleration
Quantum Expertise Required: Minimal (basic QAOA understanding helpful)

Classic NP-Hard Problems

Graph Problems

  • GraphColoring/GraphColoring.fsx WELL-DOCUMENTED
    Register allocation, frequency assignment, exam scheduling
    Use Case: Compiler optimization, wireless networks, university timetabling
    Algorithm: QAOA (Quantum Approximate Optimization Algorithm)

  • MaxCut/MaxCut.fsx
    Graph partitioning for load balancing and circuit design
    Use Case: Circuit partitioning, community detection
    Algorithm: QAOA with D-Wave quantum annealer support

  • MaxCut/DWaveMaxCutExample.fsx
    MaxCut using D-Wave quantum annealer (2000+ qubits!)
    Hardware: D-Wave Advantage (5640 qubits)
    Note: Real quantum hardware example

Routing & Assignment

Constraint Satisfaction

Quantum ML Building Blocks

Visualization & Debugging


Level 3: Advanced Quantum Algorithms

For: Quantum algorithm researchers, PhD students, quantum enthusiasts
Goal: Explore advanced quantum computing techniques
Quantum Expertise Required: Moderate to High

Quantum Search & Optimization

Quantum Chemistry & Simulation

Quantum Arithmetic & Cryptography

Quantum Phase Estimation

Linear Algebra & Systems

Quantum Communication & Security

Finance & Risk

Parameter Optimization

Sparse QUBO & Problem Decomposition

  • SparseQubo/SparseQubo_Example.fsx NEW
    Sparse QUBO encoding pipeline: coordinate-list (COO) representation, density analysis, and conversion to standard QUBO
    Use Case: Large-scale optimization where QUBO matrices are >95% sparse
    Algorithm: COO-based storage with O(nnz) operations instead of O(n²)

  • ProblemDecomposition/ProblemDecomposition_Example.fsx NEW
    Automatic problem decomposition: splits large QUBOs into sub-problems that fit backend qubit limits, solves independently, and merges results
    Use Case: Run 50+ variable problems on 16-qubit LocalBackend via divide-and-conquer
    Algorithm: Graph-based partitioning with budget-aware execution orchestration

Quantum Circuit Building

Azure Quantum Integration


Level 4: Research & Educational (Quantum Physics)

For: Quantum physics students, topological quantum computing researchers
Goal: Understand fundamental quantum mechanics and exotic quantum models
Quantum Expertise Required: Advanced (graduate-level physics)

Topological Quantum Computing

Topological Backend Examples

Educational Quantum Algorithms

Game Examples (Educational)


Quick Start Guides

For Business Users (Start Here!)

Step 1: Install the library

dotnet add package FSharp.Azure.Quantum

Step 2: Run the easiest example (AutoML)

cd examples/AutoML
dotnet fsi QuickPrototyping.fsx

Step 3: Try a business problem

cd examples/BinaryClassification
dotnet fsi FraudDetection.fsx

For Developers

Step 1: Explore optimization problems

cd examples/GraphColoring
dotnet fsi GraphColoring.fsx

Step 2: Compare quantum vs classical

cd examples/MaxCut
dotnet fsi MaxCut.fsx

Step 3: Try cloud quantum hardware

cd examples/AzureQuantumWorkspace
# Edit WorkspaceExample.fsx with your Azure credentials
dotnet fsi WorkspaceExample.fsx

For Researchers

Step 1: Quantum chemistry

cd examples/Chemistry
dotnet fsi H2Molecule.fsx

Step 2: Advanced algorithms

cd examples/LinearSystemSolver
dotnet fsi HHLAlgorithm.fsx

Step 3: Topological quantum computing

dotnet fsi ToricCodeExample.fsx

Running Examples

Prerequisites

# Install .NET 8.0+
dotnet --version

# Install FSharp.Azure.Quantum
dotnet add package FSharp.Azure.Quantum

Running Individual Examples

# Navigate to example directory
cd examples/BinaryClassification

# Run with F# Interactive
dotnet fsi FraudDetection.fsx

Running All Examples (Validation)

# From examples/ directory
dotnet fsi test-all-examples.fsx

🎓 Learning Path Recommendations

Beginner Path (Business Focus)

  1. AutoML/QuickPrototyping.fsx - Easiest start
  2. BinaryClassification/FraudDetection.fsx - Real use case
  3. JobScheduling/ConstraintScheduler_Example.fsx - Optimization intro
  4. CoverageOptimizer/CoverageOptimizer_Example.fsx - Set cover problems
  5. ResourcePairing/ResourcePairing_Example.fsx - Matching & pairing
  6. GraphColoring/GraphColoring.fsx - Classic problem

Developer Path (Quantum Optimization)

  1. GraphColoring/GraphColoring.fsx - Best documented
  2. MaxCut/MaxCut.fsx - Graph partitioning
  3. Knapsack/Knapsack.fsx - Classic NP problem
  4. PackingOptimizer/PackingOptimizer_Example.fsx - Bin packing
  5. DrugDiscovery/DrugDiscoverySolvers_Example.fsx - QAOA drug discovery
  6. MaxCut/DWaveMaxCutExample.fsx - Real quantum hardware

Research Path (Quantum Algorithms)

  1. Algorithms/BellStatesExample.fsx - Quantum basics
  2. Algorithms/Grover_SAT_Example.fsx - Quantum search
  3. SparseQubo/SparseQubo_Example.fsx - Sparse QUBO pipeline
  4. ProblemDecomposition/ProblemDecomposition_Example.fsx - Auto-decomposition
  5. Chemistry/H2Molecule.fsx - VQE
  6. Topological/ToricCodeExample.fsx - Topological qubits

Expert Path (Full Stack)

  1. CircuitBuilder/ - Low-level circuits
  2. AzureQuantumWorkspace/ - Cloud infrastructure
  3. Topological/ - Exotic quantum models
  4. CryptographicAnalysis/ - Quantum cryptographic attacks (RSA, ECC, AES, discrete log)

License

All examples are part of FSharp.Azure.Quantum library.
License: Unlicense (Public Domain)