Releases: MazenAli/QuLearn
Releases · MazenAli/QuLearn
v0.8.0
TwoQubitMPS and EmbedU
Added
- Add TwoQubitMPS and EmbedU layers
Fix Negative Sqrt
Fixed
- Hat basis negative close to 0 values, sqrt in HatBasisQFE returned nan
Fix MPS Contraction
Fixed
- MPS contraction
Hat Basis QFE
Added
- Hat basis modules
- MPS modules
- Hat basis QFE to qlayer
Fix Output Shape
Fixed
- Output shape for batched inputs consistent with PyTorch
Multiple Observables
Added
- Added variable exponent base to data embeddings
- Added multiple observables option to Measurement Layer
Quantum Kernel Ridge Regression
Added
- Added quantum kernel models and ridge regression trainers
Changed
- Changed model builders and configs in examples
Refactor Trainer
Changes
- Simplified supervised trainer
- Better logging
Fisher Information Matrices
New Features
- FIM estimation
- Effective dimension
Known Issues
- FIM estimation inefficient.
- Examples currently don't work, legacy code from pre-release version.