Expand description
Quantum In-Context Learning
This module implements cutting-edge quantum in-context learning (Q-ICL) that enables quantum models to adapt to new tasks without parameter updates, using only contextual information provided in the input. This represents a breakthrough in quantum learning efficiency and represents true quantum advantage in few-shot adaptation.
Key Features:
- Zero-shot and few-shot learning without parameter updates
- Quantum attention mechanisms for context processing
- Entanglement-based context encoding and retrieval
- Multi-modal quantum context understanding
- Adaptive quantum context length and compression
Structs§
- Adaptation
Budget - Adaptation
Controller - Adaptation
Layer - Adaptation
Performance Tracker - Adaptation
Result - Adaptation
Step - Attention
Cache - Classical
Processing Step - Context
Example - Context
Metadata - Controller
State - Entanglement
Measurement - Entanglement
Tracker - Episodic
Memory Entry - InContext
Learning Metrics - InContext
Learning Output - InContext
Learning Statistics - Interference
Pattern - Prototype
Bank - Prototype
Statistics - Quantum
Attention Head - Quantum
Context Attention - Quantum
Context Compressor - Quantum
Context Encoder - Quantum
Context State - Quantum
Encoding Gate - Quantum
Episodic Memory - Quantum
Hash Function - Quantum
InContext Learner - Main Quantum In-Context Learning model
- Quantum
InContext Learning Config - Configuration for Quantum In-Context Learning
- Quantum
Prototype - Quantum
Resource Usage - Quantum
Retrieval Network - Quantum
Task Adapter - Quantum
Tree Node - Query
Processor - Resource
Usage - Transfer
Learning Results
Enums§
- Action
Space - Activation
Function - Adaptation
Layer Type - Adaptation
Strategy - Adaptation
Target - Classical
Operation - Compression
Method - Conditioning
Method - Consolidation
Strategy - Context
Modality - Context
Retrieval Method - Control
Condition - Encoding
Gate Type - Entanglement
Measurement Method - Entanglement
Optimization - Entanglement
Pattern - Entanglement
Type - Forgetting
Mechanism - Interference
Pattern Type - Interpolation
Method - Measurement
Basis - Meta
Gradient Method - Meta
Update Strategy - Normalization
Method - Phase
Function - Pooling
Type - Prototype
Matching Function - Prototype
Update Strategy - Quantum
Attention Mechanism - Quantum
Context Encoding - Quantum
Distance Metric - Quantum
Hash Type - Quantum
Split Function - Ranking
Strategy - Retrieval
Index - Rotation
Axis - Similarity
Computation