| Study programme competencies |
| Code | Study programme competences |
| A3 | CON_03 Know the physical bases that allow information to be coded and processed. Understanding of the new rules that Quantum Mechanics imposes for its processing. |
| A4 | CON_04 Have knowledge of quantum computing, algorithms, circuits, their programming in different languages and accessible platforms. |
| B1 | HD01 Analyze and break down a complex concept, examine each part and see how they fit together |
| 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. |
| 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. |
| Learning aims | |||
| Learning outcomes | Study programme competences | ||
| Aprender a establecer sinergias entre la inteligencia artificial simbólica y la computación cuántica. | AJ3 AJ4 |
BJ1 BJ3 BJ6 BJ8 BJ12 BJ13 BJ14 BJ16 |
CJ1 CJ2 CJ3 CJ4 CJ7 CJ8 |
| Adquirir conocimientos de computación cuántica, algoritmia y circuitos cuánticos. | AJ3 AJ4 |
BJ1 BJ3 BJ6 BJ8 BJ12 BJ13 BJ14 BJ16 |
CJ1 CJ2 CJ3 CJ4 CJ7 CJ8 |
| Programación en diferentes lenguajes y plataformas accesibles. | AJ3 AJ4 |
BJ1 BJ3 BJ6 BJ8 BJ12 BJ13 BJ14 BJ16 |
CJ1 CJ2 CJ3 CJ4 CJ7 CJ8 |
| Adquirir conocimientos sobre aspectos de alto nivel en computación cuántica: diseño de máquinas cuánticas, simuladores cuánticos y arquitecturas. | AJ3 AJ4 |
BJ1 BJ3 BJ6 BJ8 BJ12 BJ13 BJ14 BJ16 |
CJ1 CJ2 CJ3 CJ4 CJ7 CJ8 |
| Contents |
| Topic | Sub-topic |
| Introducción | Antecedentes Inteligencia artificial simbólica |
| Sistemas de Producción | Conocimiento declarativo Conocimiento procedimental Motor de inferencias |
| Circuitos Inferenciales Cuánticos |
Representación cuántica del conocimiento Propagación cuántica del conocimiento Diseño de circuitos cuánticos categóricos |
| Representación Cuántica del Conocimiento Inexacto |
Conocimiento inexacto Conocimiento impreciso Incertidumbre y propagación |
| Modelo Cuántico de Factores de Certeza | Medidas de confianza Factores de certeza Aproximación cuántica del modelo S-B Implementación cuántica del modelo S-B |
| Consideraciones Finales | Análisis crítico Conclusiones |
| Planning | ||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A3 A4 B1 B3 B6 B8 B12 B13 B14 B16 C1 C2 C3 C4 C7 C8 | 10 | 50 | 60 |
| ICT practicals | A3 A4 B1 B3 B6 B8 B12 B13 B14 B16 C1 C2 C3 C4 C7 C8 | 15 | 0 | 15 |
| Personalized attention | 0 | 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 |
| Guest lecture / keynote speech | Explicación en el aula de los contenidos de la materia. Resolución de problemas y supuestos prácticos. Realización de seminarios interactivos. |
| ICT practicals | Resolución de problemas prácticos en entornos TIC. Realización en equipo de prácticas de laboratorio con simuladores cuánticos. |
| Personalized attention |
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| Assessment | |||
| Methodologies | Competencies | Description | Qualification |
| Guest lecture / keynote speech | A3 A4 B1 B3 B6 B8 B12 B13 B14 B16 C1 C2 C3 C4 C7 C8 | Evaluación continua de actividades realizadas individualmente. Evaluación continua de actividades realizadas en equipo. Prueba final de desarrollo de cinco preguntas cortas de la materia. |
50 |
| ICT practicals | A3 A4 B1 B3 B6 B8 B12 B13 B14 B16 C1 C2 C3 C4 C7 C8 | Evaluación de prácticas individuales. Evaluación de prácticas realizadas en equipo. |
50 |
| Assessment comments | |||
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No se establece ninguna nota de corte, ni en Teoría ni en La nota final se obtendrá a partir de la siguiente ecuación: Para aprobar la asignatura, se tiene que cumplir que Nota_Final |
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| Sources of information |
| Basic |
Stuart Jonathan Russell & Peter Norvig (2021). Artificial Intelligence: A Modern Approach. Pearson
Andreas Wichert (2020). Principles of Quantum Artificial Intelligence. World Scientific |
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ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI. |
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| Recommendations | ||||||
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