Uploaded February 2021 | Updated September 2026, 1 week ago
Lecture by Tim Byrnes at NYU Shanghai on Introduction to quantum information and quantum computing. February 4, 2021
Topics covered:
We start by discussing various assignment topics. Then continue with slide set 4. Linear algebra I, covering inner products, norm of a vector, operators, matrices, and the outer product. We make a start on slide set 5. Linear algebra II, discussing matrix terminology such as transpose and Hermitian conjugate of a matrix.
Slides are avaiable here: drive.google.com/drive/folders/1UCJyy9Y6JdBRzlcAk3EmVoWGJhyIxIY1?usp=sharing
#quantuminformation #quantumtechnologies #wavefunction #quantummeasurements #lectures #courses #physics #quantumcircuits #quantumalgorithms #quantumcomputing #quantumprobabilities #measurementoperators #globalphase #basisrotations #qubits #linearalgebra #hermitianconjugate #matrices #quantumstate #innerproduct #norm #operators #matrices #outerproduct
Lecture by Tim Byrnes at NYU Shanghai on Introduction to quantum information and quantum computing. February 4, 2021
Topics covered:
We start by discussing various assignment topics. Then continue with slide set 4. Linear algebra I, covering inner products, norm of a vector, operators, matrices, and the outer product. We make a start on slide set 5. Linear algebra II, discussing matrix terminology such as transpose and Hermitian conjugate of a matrix.
Slides are avaiable here: drive.google.com/drive/folders/1UCJyy9Y6JdBRzlcAk3EmVoWGJhyIxIY1?usp=sharing
#quantuminformation #quantumtechnologies #wavefunction #quantummeasurements #lectures #courses #physics #quantumcircuits #quantumalgorithms #quantumcomputing #quantumprobabilities #measurementoperators #globalphase #basisrotations #qubits #linearalgebra #hermitianconjugate #matrices #quantumstate #innerproduct #norm #operators #matrices #outerproduct










