Literature review, scope definition, team setup

Project plan, tech stack, risk assessment

$999 USD

- Problem Defined - Literature Review - Feasibility Study - Objectives Set - Timeline Defined

Setup quantum computing environment, simulation environment for QDQL

Working quantum development environment

$2,000 USD

- Quantum SDK Installed - Quantum Circuit Simulation Ready - Noise Models Integrated

Acquire medical datasets, ensure anonymization and preprocessing

Cleaned, formatted datasets

$500 USD

- Relevant Dataset Identified - Ethical and Legal Compliance - Data Size Sufficiency - Data Format Compatibility - Missing Data Handled - Feature Normalization/Scaling - Categorical Encoding Done - Dimensionality Reduced (if needed) - Data Split for Training and Testing

- Design hybrid QDQL architecture (quantum + DQN), define reward function and state space - QNN modeling: choice of gates, circuit diagram, definition of architecture

Model architecture & implementation plan

$8,000 USD

- Modular Architecture Defined - Action-Value Function Design - State-Action Interface Specified - Parameterized Quantum Circuit (PQC) Created - Encoding Strategy Chosen - Quantum-Classical Connector Integrated - Reinforcement Learning Components Implemented - Loss Function & Optimizer Working - Exploration-Exploitation Balanced

Implement QDQL agent, integrate with dataset, test basic functionality

Prototype & initial testing report

$9,000 USD

- End-to-End Pipeline Working - Training Loop Operational - Quantum Circuit IntegratedDecision-Making Improves Over Time - Simulated Diagnosis Task Completed - Reward Function Encodes Medical Success - Decision-Making Improves Over Time - Prototype Meets Baseline Accuracy - Stability Under Training - Runtime Feasibility Demonstrated - Component-Level Testing Done - Integration Bugs Resolved - Logging and Monitoring Active

- Evaluate model performance (accuracy, speed), refine quantum circuits, optimize training - Collaborate with medical professionals to validate diagnostic outputs

- Performance metrics & improved prototype - Clinical feedback report

$6,001 USD

- Diagnostic Accuracy Assessed - Reward Optimization Verified - Baseline Comparison Completed - Hyperparameter Tuning Done - Quantum Circuit Parameters Optimized - Model Size and Speed Improved - Misclassification Patterns Identified - Fairness/Bias Metrics Computed - Quantum-Specific Errors Reviewed - Performance on Unseen Data Evaluated - Robustness to Input Variation Tested - Cross-Validation Completed

Finalize the agent, integrate into a test platform

Fully integrated agent for testing

$3,500 USD

- Achieve ≥ 95% accuracy compared to expert medical diagnosis or a benchmark dataset - Convergence within a defined number of episodes with stable Q-value fluctuations - ≥ 80% of decisions are interpretable by medical professionals - Degradation in accuracy should be < 10% under controlled perturbations