Quantization in Field Theory

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Model Compression Techniques: Enhancing Neural Networks

Covers model compression techniques to enhance the efficiency of large language models in production settings.

Jarzynski Equation and Quantum Circuits

Explores the Jarzynski equation and the quantization of electrical circuits in quantum harmonic oscillators.

Quantization: Basics and Uniform Input

Explores quantization in digital devices, covering scalar and uniform quantization, mean square error, and signal-to-noise ratio.

Conformal Blocks: Functions on Moduli Spaces

Covers conformal blocks and their significance in complex structures and moduli spaces.

Geometric Quantization

Explores geometric quantization, the process of quantizing classical systems to obtain quantum systems using mathematical techniques like pseudo-differential calculus.

Electromagnetic Field

Covers the electromagnetic field in astrophysics and field theory, including the symmetry principle and interaction terms.

Radial Quantization & Inner Products

Covers radial quantization and inner products in quantum field theory.

Quantum Field Theory: Conservation Laws

Explores deriving conserved currents in classical and quantum field theory, emphasizing symmetries and equations of motion.

Quantum Mechanics: Second Quantization Part 3

Explores second quantization in quantum mechanics, emphasizing mathematical formalism and applications in quantizing particles and fields.

Model Compression: Techniques for Efficient NLP Models

Explores model compression techniques in NLP, discussing pruning, quantization, weight factorization, knowledge distillation, and attention mechanisms.