Master´s Degree in Quantum Computing

Skills

Basic Competences:

• Possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context.
• Students must know how to apply acquired knowledge and their ability to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their field of study.
• Students must be able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
• Students must know how to communicate their conclusions and the knowledge and ultimate reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way.
• Students must possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.

General Competences:

• Develop the ability for autonomous learning in order to adapt to a changing environment and with multiple challenges in the field of quantum computing.
• Solve problems and make efficient decisions in the face of problems in the quantum computing sector.
• Communicate in a specialized way, both orally and in writing in the field of quantum computing.
• Use and synthesize the different sources of information in order to obtain scientific results and apply them in the field of quantum computing.
• Know and apply the knowledge acquired in solving problems in new environments, taking risks and applying critical judgment in the field of quantum computing.
• Plan and develop complex tasks, prioritizing appropriate decision-making and their adaptability to different contexts in the field of quantum computing.
• Apply the knowledge and skills acquired in the context of companies and institutions for the development of projects or research, especially in the field of quantum computing.

Specific Competences

• Identify and document situations where quantum phenomena occur for analysis within a project.
• Apply the formulation and calculations of quantum mechanics to solve a problem.
• Identify different technologies for performing quantum calculations and compare them to select the most appropriate for a problem.
• Apply the concepts learned about quantum computing to each of the technologies studied.
• Use the results obtained in the quantum measurement process for the characterization of a system.
• Design, compose and analyze quantum circuits for their application to real problems.
• Suggest and solve cost functions associated with optimization problems.
• Identify the most suitable programming model for quantum projects for solving a problem.
• Compare and translate algorithms between different quantum project programming models.
• Modify, correct and adapt existing quantum algorithms to solve a specific problem within a project.
• Generate new quantum algorithms, including their translation into programmatic notation and visualization of results for use in the scope of a project.
• Carry out estimation calculations on the scope of precision in a quantum circuit.
• Propose error correction solutions based on the knowledge acquired for different platforms.
• Program and use a quantum simulator for the prior validation of solutions within a project.
• Apply quantum processing mechanisms on intensive computing environments such as Neural Networks, or through Quantum Machine Learning techniques.
• Propose communication and cryptography systems using quantum processing concepts.
• Apply the knowledge acquired in the Master's degree in order to develop, expose and defend an academic or research project in the area of specific Quantum Computing technologies.

Estudio Semipresencial

The possibility of taking the program in person or in a blended modality, allows students to combine their personal and professional life with their education.

Awards to Global Campus Nebrija

Best University
in Online Learning Ranking QS Stars Good Methodology Practice
according to Cátedra UNESCO Success Story
from Blackboard 6th Best Blog
on eLearning for España and LATAM 4 awards
in Education Excellence The Hybrid Presentiality educational model
from Nebrija University recognized with the Blackboard Catalyst Awards

Profesores

Professors

Jose Luis Rosales Bejarano Profesor Professor Doctor en física teórica por la Universidad Autónoma de Madrid, ha trabajado en los fundamentos de la teoría cuántica y de la teoría cuántica de campos. Recientemente ha desarrollado propuestas de simulación de algoritmos cuánticos en sistemas de iones atrapados. Fue profesor visitante en las universidades de Friburgo (Alemania) y de Cantabria. Desde 2014 trabaja en el Grupo de Información y Computación Cuántica de la Universidad Politécnica de Madrid donde colabora en el proyecto europeo dirigido hacia la implantación de la infraestructura de red de distribución de clave cuántica en Madrid, en coordinación con la de otras capitales europeas (proyecto OpenQKD). Francisco Gálvez Ramírez Profesor Professor Licenciado en Ciencias Físicas, Máster en Física Avanzada por la Universidad de Valencia y Máster en Gestión Informática por IDE-CESEM. Con una experiencia profesional de más de 20 años en el campo de IT, ha desarrollado la mayor parte de su carrera en IBM, donde ha desempeñado puestos de carácter técnico y consultoría, trabajando en el área de gestión de datos y en el proyecto IBM Quantum Experience, colaborando intensamente con su difusión en España. Actualmente trabaja en la empresa ABDProf S.L. en Valencia en proyectos IT relacionados con el área de la computación y los algoritmos cuánticos. Alberto García García Profesor Professor Graduado en Físicas y especializado en Información Cuántica por la Universidad Complutense de Madrid, Máster en Química Teórica y Modelización Computacional por la Universidad Autónoma de Madrid. Comenzó su carrera en el mundo de la Información Cuántica mientras realizaba su estancia de Erasmus en la Technische Universität München; donde desarrolló su TFG en Criptografía Cuántica. Después, comenzó a trabajar en Accenture y fundó el departamento de Computación Cuántica en Accenture España. Desde entonces, ha estado trabajando en proyectos de negocio reales en distintas industrias y en los distintos ámbitos de QC como algoritmos cuánticos de puertas o Quantum Machine Learning.

Francisco García Herrero Profesor Professor Doctor en Ingeniería Electrónica por la Universidad Politècnica de València. Evaluado positivamente por ANECA en la categoría de Profesor Titular. Su experiencia docente e investigadora se ha desarrollado en la Universidad Politècnica de València, la Universidad Europea Miguel de Cervantes, y la Universidad Antonio de Nebrija, tomando parte en numerosos proyectos nacionales de investigación. Sus líneas de investigación se centran en el diseño e implementación de algoritmos y arquitecturas para decodificadores para la corrección y detección de errores en sistemas de computación. Actualmente es Investigador Principal del Centro ARIES. José Javier Paulet González Profesor Professor Ingeniero Informático especializado en Computación por la Universidad de Castilla La Mancha, desarrolló sus trabajos fin de grado y fin de máster en la aplicación y aceleración del Algoritmo de Grover. En la actualidad se encuentra realizando el doctorado en Tecnologías Informáticas Avanzadas. Ha trabajado con simuladores cuánticos, estudiando e implementando neuronas cuánticas en la empresa ABDProf. Su interés se centra en los algoritmos de búsqueda aplicados a problemas NP-Completos, especialmente al problema 3-SAT.

Timetable

Admission Requirements

The routes and requirements for admission to the Master's level teachings are those set out in Royal Decree 1393/2007 of October 29, with subsequent modification in Royal Decree 861/2010, of July 2, which establishes the organization of official university teachings.

Regarding the admission profile, those interested in studying and obtaining a Master's Degree in Quantum Computing from the Antonio de Nebrija University must have:

• The necessary level of mathematics and physics to serve as a basis for the fundamentals of the subjects that will be taken in the master's degree.
• Advanced experience in the use of computers and information systems, the Internet, programming, mobile devices.
• Aptitude for numerical and logical reasoning.
• Ease of understanding and reasoning about abstract models that generalize the particular aspects of practical cases.

In addition to these aspects, in their personal attitude it is recommended that students:

• Have creativity, imagination and a desire for innovation.
• Be organized and methodical students.
• Be receptive, practical and open to improvising solutions.
• Have the ability for teamwork, communication, responsibility performance, as well as a good ability to adapt to changing knowledge.
• Be determined to dedicate themselves to continuous learning, eager to stay up-to-date on recent advances in science and technology.

All applicants who meet the requirements imposed by current legislation, with an associate's or bachelor's degree, who are interested in acquiring training on the application of quantum principles to computing, will be able to access the Master's Program in Quantum Computing, communication and information management, acquiring skills for algorithm design, programming and simulation in environments based on this paradigm to solve real-world problems.

Admission Profiles

The admission profiles in this master's degree are those that correspond to the different Associate's and Bachelor's degrees in programs of:

• Computer Engineering and related topics.
• Mathematics.
• Physics.
• Telecommunication or Electrical and Electronic Engineering.