qualification lot,production
Special lot run to validate new process or equipment.
9,967 technical terms and definitions
Special lot run to validate new process or equipment.
Process test wafers after PM to verify tool performance.
Qualification status indicates equipment readiness for production use.
Qualification testing validates new products meet reliability requirements before production release.
Wafers used to qualify process or equipment.
Testing and validation that equipment or process meets specifications.
Quality at source requires each worker to ensure perfect output.
Quality at source ensures suppliers deliver defect-free materials eliminating incoming inspection.
Build quality into process.
Sample with known properties for QC.
Classification of quality costs.
Translate customer needs to design.
Cost of deviation from target.
Framework for managing quality.
Quality rate is ratio of good units to total units produced.
Fraction of good output.
Assign quality scores to data.
Adjust quality vs energy.
Long document comprehension.
Quantization stores weights in fewer bits (e.g. 8-bit, 4-bit) to save memory and speed up inference, with a small accuracy tradeoff if done well.
Lowest reliably measured amount.
Optimize specific quantiles.
Learn quantiles of returns.
Predict conditional quantiles instead of mean.
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.
Use quantum effects for computation.
Energy quantization in small structures.
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.
Fraction of absorbed photons that cause reaction.