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Algorithm Optimization Engine
This module provides optimization services for quantum algorithms including performance tuning, resource optimization, and adaptive parameter selection.
Structs§
- Algorithm
Benchmark - Algorithm benchmark
- Algorithm
Optimization Context - Algorithm optimization context
- Algorithm
Optimization Engine - Algorithm optimization engine
- Benchmark
Database - Benchmark database
- Budget
Constraints - Budget constraints
- Comparison
Metric - Comparison metric
- Computational
Cost - Computational cost
- Constraint
Violation - Constraint violation
- Convergence
Info - Convergence information
- Convergence
Point - Convergence point
- Cost
Component - Cost component
- Cost
Model - Cost model
- Cost
Optimization Objective - Cost optimization objective
- Cost
Optimization Rule - Cost optimization rule
- Cost
Structure - Cost structure
- Execution
Context - Execution context
- Iteration
Snapshot - Iteration snapshot
- Measurement
Conditions - Measurement conditions
- Model
Training Data - Model training data
- Objective
Function - Objective function
- Optimization
Budget - Optimization budget
- Optimization
Config - Optimization configuration
- Optimization
Constraints - Optimization constraints
- Optimization
Objective - Optimization objectives
- Optimization
Recommendation - Optimization recommendation
- Optimization
Result - Optimization result
- Optimization
Run - Optimization run
- Parameter
Constraint - Parameter constraint
- Parameter
Dimension - Parameter dimension
- Parameter
Optimizer - Parameter optimizer
- Parameter
Region - Parameter region
- Parameter
Space - Parameter space
- Performance
Analysis - Performance analysis
- Performance
Analyzer - Performance analyzer
- Performance
Anomaly - Performance anomaly
- Performance
Baseline - Performance baseline
- Performance
Bottleneck - Performance bottleneck
- Performance
Impact Model - Performance impact model
- Performance
Model - Performance model
- Performance
Snapshot - Performance snapshot
- Performance
Suggestion - Performance suggestion
- Performance
Trend - Performance trend
- Pricing
Tier - Pricing tier
- Prior
Knowledge - Prior knowledge
- Problem
Instance - Problem instance
- Reference
Implementation - Reference implementation
- Resource
Cost Model - Resource cost model
- Resource
Model - Resource model
- Resource
Optimizer - Resource optimizer
- Scaling
Relationship - Scaling relationship
- Solution
- Solution
- Utilization
Model - Utilization model
Enums§
- Aggregation
Method - Aggregation methods
- Anomaly
Type - Anomaly types
- Bottleneck
Type - Bottleneck types
- Constraint
Type - Constraint types
- Cost
Type - Cost types
- Difficulty
Level - Difficulty levels
- Dimension
Type - Dimension types
- Evaluation
Method - Evaluation methods
- Implementation
Effort - Implementation effort
- Normalization
Method - Normalization methods
- Objective
Function Type - Objective function types
- Objective
Type - Objective types
- Optimization
Level - Optimization levels
- Parameter
Bounds - Parameter bounds
- Performance
Model Type - Performance model types
- Recommendation
Type - Recommendation types
- Relationship
Type - Relationship types
- Suggestion
Type - Suggestion types
Traits§
- Optimization
Strategy - Optimization strategy trait
- Parameter
Optimization Algorithm - Parameter optimization algorithm trait
- Performance
Analysis Method - Performance analysis method trait
- Resource
Allocation Strategy - Resource allocation strategy trait