Guia docente 2023_24
Escuela de Ingeniería de Telecomunicación
Máster Universitario en Ciencia e tecnoloxías de información cuántica
 Subjects
  Quantum computing and high performance computing
   Training and Learning Results
Code Description
A8 Know the classical computing algorithms and strategies inspired by quantum computing: tensor networks, product states of matrices, etc.
A9 Know and know how to apply advanced aspects of quantum computing: quantum learning, efficient quantum architecture, mode of operation of two quantum accelerators, high-performance computing, quantum systems based on rules and applications to numerical calculation.
A10 Know scenarios of practical application of quantum computing in problems of scientific, technological and financial interest. Identify domains that exhibit quantum advantage. Know the institutions and companies that are actors in quantum computing, acquiring a perspective of the agenda that is reasonable to expect in the coming years.
B15 To have knowledge of high-level aspects of quantum computing: learning quantum machines, quantum simulators, architectures, 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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