Lectures related to Hidden Sub-group Problem and Simon Algorithm

Covers linear algebra in Dirac notation, focusing on vector spaces and quantum bits.

Linear Algebra: Linear Dependence and Independence

Explores linear dependence and independence of vectors in geometric spaces.

Linear Algebra: Matrices and Vector Spaces

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Linear Combinations: Vectors and Matrices

Explores linear combinations of vectors and matrices in Rn, demonstrating geometric interpretations and matrix operations.

Linear Independence and Basis

Explains linear independence, basis, and matrix rank with examples and exercises.

Quantum Metrology: Superconducting Electronics & Qubits

Explores quantum metrology, superconducting electronics, detectors, qubits, and quantum supremacy, emphasizing advancements in quantum computing.

Linear Independence in Vector Spaces

Explores linear independence in vector spaces and the concept of bases.

Quantum and Nanocomputing

Explores quantum computing fundamentals, including qubits, gates, and entanglement, as well as the impact of quantum computing on society.

Linear Algebra: Vector Spaces

Explores vector spaces, linear independence, and spanning sets in linear algebra.

Linear Independence and Bases in Vector Spaces

Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.

Vector Spaces and Linear Applications

Covers vector spaces, subspaces, kernel, image, linear independence, and bases in linear algebra.

Linear Independence and Bases

Covers linear independence, bases, and coordinate systems with examples and theorems.

Single-Phase Sinusoidal Circuits

Covers peak, mean, and rms values, average power, phase advance, and sinusoidal circuits.

Linear Dependence and Independence

Explores linear dependence and independence of vectors, including subspaces generation and corollaries.

Linear Dependence Theorems and Proofs

Explores linear dependence theorems and proofs, emphasizing the importance of understanding linear dependence in linear algebra.

Linear Independence: Definition and Examples

Explores the concept of linear independence in vector spaces through definitions and illustrative examples.

Vector Spaces: Bases and Dimension

Explores bases, dimensions, and matrix ranks in vector spaces with practical examples and proofs.

Cryo-CMOS electrical interfaces for large-scale quantum computers

Delves into Cryo-CMOS technology for quantum computers, focusing on challenges and advancements in cryogenic CMOS circuits.

Trapped Ions Quantum Computing

Explores analog and digital quantum computing, quantum jumps, cooling of atoms with light, quantum computer technologies, and trapped ion quantum bits.

Coordinate Systems and Applications

Covers the definition and use of coordinate systems and applications in bases and linear equations.