Identifying Data 2023/24
Subject (*) Practical Applications of Quantum Computing Code 614551010
Study programme
Máster Universitario en Ciencia e Tecnoloxías de Información Cuántica
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Enxeñaría de Computadores
Matemáticas
Coordinador
Vazquez Cendon, Carlos
E-mail
carlos.vazquez.cendon@udc.es
Lecturers
Castedo Ribas, Luis
Vazquez Cendon, Carlos
E-mail
luis.castedo@udc.es
carlos.vazquez.cendon@udc.es
Web http://n9.cl/1xqjg8
General description A computación cuántica é unha tecnoloxía que está en auxe. O potencial que ten pode significar un cambio de paradigma na forma de tratar os problemas da sociedade actual. Algunhas das computadoras cuánticas que funcionan hoxe en día xa son eficaces para resolver certos problemas moi complexos. Deste xeito, a computación cuántica está emerxendo como un camiño prometedor en diversos campos. Nesta materia verás aplicacións en finanzas, industria, defensa e seguridade.

Study programme competencies
Code Study programme competences
A14 CON_14 Be aware of problem sets where quantum computing at its current stage of development can offer an advantage over classical computing: chemistry, biology, optimization, logistics, finance, etc.
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
Know the domains of practical application of quantum computing in different sectors AJ14
BJ1
BJ3
BJ6
BJ8
BJ12
BJ13
BJ14
BJ16
CJ1
CJ2
CJ3
CJ4
CJ7
CJ8
Know the use of quantum computing in economics and finance problems AJ14
BJ1
BJ3
BJ6
BJ8
BJ12
BJ13
BJ14
BJ16
CJ1
CJ2
CJ3
CJ4
CJ7
CJ8
Know the use of quantum computing in problems that arise in the industry AJ14
BJ1
BJ3
BJ6
BJ8
BJ12
BJ13
BJ14
BJ16
CJ1
CJ2
CJ3
CJ4
CJ7
CJ8
Know the use of quantum computing in relation to the military and defense sectors AJ14
BJ1
BJ3
BJ6
BJ8
BJ12
BJ13
BJ14
CJ1
CJ2
CJ3
CJ4
CJ7
CJ8

Contents
Topic Sub-topic
1. Introduction to the practical applications of quantum computing
2. Applications in economics and finance
3. Applications in industry
4. Defense and security applications
5. Other applications

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A14 B1 B3 B6 B8 B12 B13 B14 B16 C1 C2 C3 C4 C7 C8 11 0 11
ICT practicals A14 B1 B3 B6 B8 B12 B13 B14 B16 C1 C2 C3 C4 C7 C8 4 10 14
Case study A14 B1 B3 B6 B8 B12 B14 B16 C1 C2 C3 C4 C7 C8 6 4 10
Problem solving A14 B1 B3 B6 B8 B12 B14 B16 C1 C2 C3 C4 C7 C8 0 10 10
Supervised projects A14 B1 B3 B6 B8 B12 B14 B16 C1 C2 C3 C4 C7 C8 0 24 24
 
Personalized attention 6 0 6
 
(*)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 Presentation in the classroom of the contents of the matter
ICT practicals Programming and use of simulators to solve examples
Case study Presentation of use cases that arise in the different application sectors of quantum computing
Problem solving The student is given problems to solve individually or in a group.
Supervised projects Students are given assignments to prepare individually or in groups, which are monitored with personalized attention when necessary.

Personalized attention
Methodologies
Supervised projects
Description
Supervised work is monitored, giving guidance and recommendations for its development

Assessment
Methodologies Competencies Description Qualification
Problem solving A14 B1 B3 B6 B8 B12 B14 B16 C1 C2 C3 C4 C7 C8 Problems of greater or lesser complexity are posed to be carried out individually or in groups, which may involve handling simulators. The student will deliver a document with its resolution. 30
Supervised projects A14 B1 B3 B6 B8 B12 B14 B16 C1 C2 C3 C4 C7 C8 Supervised work is proposed to be carried out individually or in a group, depending on the complexity. The student must deliver a brief report on the work done and make a brief oral presentation about it, answering the teacher's questions. 70
 
Assessment comments

Sources of information
Basic Gómez, A., Leitao Rodriguez, A., Manzano, A., Nogueiras, M., Ordoñez, G., Vázquez, C. (2022). A survey on quantum computational finance for derivatives pricing and VaR. Archives of Computational Methods in Engineering, 29, 4137–4163.
Quantum Technology and Application Consortium – QUTAC., Bayerstadler, A., Becquin, G. et al. (). Industry quantum computing applications.. EPJ Quantum Technol. 8, 25.
Krelina, M. (2021). Quantum technology for military applications.. EPJ Quantum Technol. 8, 24.

Complementary


Recommendations
Subjects that it is recommended to have taken before
Introduction to Quantum Simulation/614551026
Numerical Methods in Quantum Computing/614551025
Quantum Computing Tools/614551006
Quantum Computing and Machine Learning/614551008
Quantum Computing Architectures/614551022
Programming and Implementation of Quantum Algorithms/614551007
Quantum Computing and High Performance Computing/614551009
Introduction to Quantum Computing/614551004

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus
Master`s Dissertation/614551033

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.