qaoa, qaoa, quantum ai
Variational algorithm for optimization.
31 technical terms and definitions
Variational algorithm for optimization.
Whether to use bias in attention projections.
Quality at source ensures suppliers deliver defect-free materials eliminating incoming inspection.
Optimize specific quantiles.
Relate structure to biological activity.
Reduce precision for edge inference.
Training with quantization in mind so the model learns to work well at lower precision.
Quantization-aware training simulates quantization during training improving low-precision accuracy.
Reducing model weight precision (32-bit → 8-bit/4-bit) to save memory and speed up inference.
Cases where quantum helps ML.
When quantum computer outperforms classical.
Estimate amplitudes in quantum states.
Quantum approach to combinatorial problems.
Quantum version of Boltzmann machines.
Train parameterized quantum circuits.
Add quantum effects to classical simulation.
Protect quantum information from noise.
Encode classical data in quantum states.
Use quantum computers for generation.
Use quantum states as feature spaces.
Apply QML to chemistry problems.
Apply quantum computing to ML problems.
Design of quantum neural networks.
Neural networks running on quantum hardware.
Estimate eigenvalues of operators.
Use quantum computers for sampling.
Quantum algorithms based on walks.
Use quantum for better sampling.
Quaternion embeddings for KGs.
Query classification categorizes requests to select optimal processing strategies.
QA as auxiliary task.