Guia docente 2023_24
Escuela de Ingeniería de Telecomunicación
Máster Universitario en Ciencia e tecnoloxías de información cuántica
 Subjects
  Introduction to quantum simulation
   Training and Learning Results
Code Description
A3 Understanding and knowledge of the fundamentals of Quantum Information Theory, as well as two basic aspects of two four types of quantum technologies: computing, communications, metrology, simulation.
A8 Know the classical computing algorithms and strategies inspired by quantum computing: tensor networks, product states of matrices, etc.
B4 To have knowledge of quantum computing, algorithms, circuits, its programming in different languages ​​and accessible platforms.
B14 To have knowledge of sets of problems in which quantum computing at its current stage of development can offer an advantage over classical computing: chemistry, biology, optimization, logistics, finance, etc.
C1 To analyze and break down a complex concept, examine each part and see how they fit together
C2 To classify and identify types or groups, showing how each category is different from the others
C3 To compare and contrast and point out similarities and differences between two or more topics or concepts
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