| Study programme competencies |
| Code | Study programme competences |
| A15 | CON_15 Have knowledge of high-level aspects of quantum computing: learning quantum machines, quantum simulators, architectures, etc. |
| B1 | HD01 Analyze and break down a complex concept, examine each part and see how they fit together |
| B2 | HD02 Classify and identify types or groups, showing how each category is different from the others |
| B3 | HD03 Compare and contrast and point out similarities and differences between two or more topics or concepts |
| B6 | HD11 Prepare accurately the relevant questions for a specific problem. |
| B8 | HD13 Improvise solutions in an innovative way to solve a problem. |
| B12 | HD23 Communicate using the expected norms for the chosen medium. |
| B13 | HD24 Actively participate in face-to-face activities in the classroom. |
| B14 | HD31 Assign resources and responsibilities so that all members of a team can work optimally |
| B16 | HD33 Set goals for the group to analyze the situation, decide what outcome is desired and clearly set an achievable goal. |
| C1 | C1. Adequate oral and written expression in the official languages. |
| C2 | C2. Mastering oral and written expression in a foreign language. |
| C3 | C3. Using ICT in working contexts and lifelong learning. |
| C4 | C4. Acting as a respectful citizen according to democratic cultures and human rights and with a gender perspective. |
| C5 | C5. Understanding the importance of entrepreneurial culture and the useful means for enterprising people. |
| C6 | C6. Acquiring skills for healthy lifestyles, and healthy habits and routines. |
| C7 | C7. Developing the ability to work in interdisciplinary or transdisciplinary teams in order to offer proposals that can contribute to a sustainable environmental, economic, political and social development. |
| C8 | C8. Valuing the importance of research, innovation and technological development for the socioeconomic and cultural progress of society. |
| C9 | C9. Ability to manage times and resources: developing plans, prioritizing activities, identifying critical points, establishing goals and accomplishing them. |
| Learning aims | |||
| Learning outcomes | Study programme competences | ||
| Conocer los algoritmos y estrategias de computación clásica inspirados en computación cuántica: redes tensoriales, estados producto de matrices, etc. | AJ15 |
BJ1 BJ2 BJ3 BJ6 BJ8 BJ12 BJ13 BJ14 BJ16 |
CJ1 CJ2 CJ3 CJ4 CJ5 CJ6 CJ7 CJ8 CJ9 |
| Conocer y saber aplicar aspectos avanzados de computación cuántica: aprendizaje cuántico, arquitectura cuántica eficiente, modo de operación de los aceleradores cuánticos, computación de altas prestaciones, sistemas cuánticos basados en reglas y aplicaciones a cálculo numérico. | AJ15 |
BJ1 BJ2 BJ3 |
CJ9 |
| Conocer escenarios de aplicación práctica de la computación cuántica en problemas de interés científico, tecnológico y financiero. Identificar de dominios que exhiban ventaja cuántica. Conocer las instituciones y empresas que son actores en la computación cuántica, adquiriendo una prespectiva de la agenda que es razonable esperar en los próximos años. | AJ15 |
BJ1 BJ2 BJ3 |
CJ1 CJ2 CJ5 CJ6 CJ9 |
| Contents |
| Topic | Sub-topic |
| Fundamentos da Computación de Altas Prestacións (HPC) | . |
| Arquitectura das Unidades de Procesamiento Cuántico | . |
| Integración de Computación Clásica e Cuántica en contornas HPC | . |
| Casos de uso de computación cuántica en contornas HPC | . |
| Avaliación de rendemento en Computación Cuántica | . |
| Planning | ||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Problem solving | B1 C3 | 5 | 10 | 15 |
| Laboratory practice | B3 C1 C2 | 10 | 10 | 20 |
| Objective test | B3 C1 | 2 | 4 | 6 |
| Supervised projects | A15 B1 B2 | 2 | 8 | 10 |
| Oral presentation | C4 C5 C6 C9 | 2 | 2 | 4 |
| Guest lecture / keynote speech | A15 B1 B2 B3 B6 B8 B12 B13 B14 B16 C1 C2 C5 C6 C7 C8 C9 | 10 | 10 | 20 |
| Personalized attention | 0 | 0 | ||
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
| Methodologies |
| Methodologies | Description |
| Problem solving | Proposta e solución de pequenos problemas relacionados coa materia |
| Laboratory practice | Supostos prácticos que implican o uso de ferramentas e métodos aprendidos durante o mestrado ou nesta materia |
| Objective test | Proba escrita que avalía a adquisición de certos coñecementos da materia polo alumnado |
| Supervised projects | Realización de traballos académicamente dirixidos |
| Oral presentation | Presentación oral dun traballo relacionado cos contidos da materia |
| Guest lecture / keynote speech | Explicación dirixida polo docente e que implica a exposición dun tema e a discusión posterior co alumnado |
| Personalized attention |
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| Assessment | |||
| Methodologies | Competencies | Description | Qualification |
| Laboratory practice | B3 C1 C2 | Haberá varios entregables asociados as prácticas que serán avaliados | 30 |
| Objective test | B3 C1 | Haberá unha proba final na que se avaliará por escrito o desempeño do alumnado | 30 |
| Supervised projects | A15 B1 B2 | Realización de traballos dirixidos por parte do alumnado | 20 |
| Oral presentation | C4 C5 C6 C9 | Presentación oral dun tema ante o profesorado e o resto dos estudantes | 20 |
| Assessment comments | |||
| Sources of information |
| Basic |
Martin Ruefenacht (2022). Bringing quantum acceleration to supercomputers. Leibniz-Rechenzentrum
Travis S. Humble (2021). Quantum Computers for High-Performance Computing. IEEE
Noson S. Yanofsky (2008). Quantum Computing for Computer Scientists. Cambridge University Press
Jack D. Hidary (2021). Quantum Computing: An Applied Approach. Springer |
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| Recommendations | |
| Subjects that it is recommended to have taken before |
| Subjects that are recommended to be taken simultaneously |
| Subjects that continue the syllabus |
| Other comments | |