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 |
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
|
Historia de la computación cuántica
Consideraciones generales
Conceptos preliminares |
Matemáticas de la Computación Cuántica
|
Números complejos
Espacios vectoriales complejos
Espacios de Hilbert |
Reversibilidad y Arquitecturas Reversibles
|
Reversibilidad
Aspectos energéticos de la reversibilidad
Arquitecturas reversibles y entropía |
Puertas Lógicas Reversibles y Cuánticas
|
Puertas lógicas clásicas
Puertas lógicas reversibles
Puertas cuánticas |
Sistemas Categóricos, Probabilísticos y Cuánticos |
Sistemas Categóricos
Sistemas Probabilísticos
Sistemas Cuánticos |
Circuitos y Algoritmos Cuánticos
|
Circuitos cuánticos
Algoritmo de Deutsch
Algoritmo de Deutsch-Jozsa
Algoritmo de Simon
Algoritmos Híbridos |
Consideraciones Finales |
Análisis crítico
Discusión
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 |
A4 A3 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.
|
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 |
A4 A3 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 |
No se establece ninguna nota de corte, ni en Teoría ni en
Prácticas. La nota final se obtendrá a partir de la siguiente ecuación:
Nota_Final = 0.5 x (Nota_Teoría + Nota_Prácticas) Para aprobar la asignatura, se tiene que cumplir que Nota_Final
sea mayor o igual a 5.00 puntos.
|
Sources of information |
Basic
|
Richard P. Feynman (2001). Feynman Lectures On Computation. CRC Press
Noson S. Yanofsky, Mirco A. Mannucci (2009). Quantum Computing for Computer Scientists. Cambridge University Press |
After presenting the necessary
prerequisites, the material is organized to look at different aspects of
quantum computing from the specific standpoint of computer science. There are
chapters on computer architecture, algorithms, programming languages,
theoretical computer science, cryptography, information theory, and hardware.
The text has step-by-step examples, more than two hundred exercises with
solutions, and programming drills that bring the ideas of quantum computing
alive for today's computer science students and researchers. |
Complementary
|
|
The
main focus of this textbook is the basic unit of information and the way in
which our understanding of this has evolved over time. In particular the
author covers concepts related to information, classical computing, logic,
reversible computing, quantum mechanics, quantum computing, thermodynamics
and some artificial intelligence and biology, all approached from the
viewpoint of computer sciences. |
Recommendations |
Subjects that it is recommended to have taken before |
|
Subjects that are recommended to be taken simultaneously |
Quantum Mechanics I/614551001 | Quantum Mechanics II/614551002 | Fundamentals of Quantum Information/614551003 | Fundamentals of Quantum Communications/614551005 |
|
Subjects that continue the syllabus |
Practical Applications of Quantum Computing/614551010 | Numerical Methods in Quantum Computing/614551025 | Quantum Computing and Machine Learning/614551008 | Quantum Computing Architectures/614551022 | Programming and Implementation of Quantum Algorithms/614551007 | Quantum Computing and High Performance Computing/614551009 | Error Correction Codes/614551013 | Rule-Based Quantum Systems/614551029 |
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