Quantum Computing Technology
Live this exciting technological revolution… and get some hands-on experience with industry experts
Course Enrollments close on January 7th 2021
Quantum Computing today
Quantum Computing is an emerging discipline and a potentially disruptive technology to which companies are beginning to give importance as a key technological agent for the future. It is a technology that, because it is centered on computing, necessarily affects all scientific-technical disciplines and, directly or indirectly, all the products and services that companies currently offer to society.
Quantum Computing changes in its essence the engine of the Information Society in which we live, by proposing a computing model that radically breaks with previous technology. This new technology has the capacity to address computational problems that current computers are not expected to be able to deal with, such as the design of new materials or the analysis and synthesis of drugs.
On the other hand, Quantum Computing has changed the approaches to Information Security, by breaking the current protocols of public key cryptography. This fact, with enormous repercussions in today's society, is undoubtedly one of the main reasons why companies are interested in Quantum Computing. In this context, the demand for experts in Quantum Technologies and Quantum Computing is expected to increase considerably in the coming years.
The purpose of this Master is to train those professionals that companies are beginning to demand. To do this, the following objectives are proposed: (1) Provide a solvent basic training in the fundamentals of quantum computing and communication, (2) That students know the challenges and current research lines of quantum technologies and (3) Train professionals for companies that work with computing and quantum communication technologies.
Universidad Politécnica de Madrid launches its online Master in Quantum Computing Technology
Universidad Politécnica de Madrid presents its online Master in Quantum Computing Technology. The Master's degree has a remarkable practical orientation. Fifty percent of the contents are applied. The University has the collaboration of Accenture as a technology partner. Finally, the master is designed for Graduates in Computer Engineering, Mathematics, Physics and Telecommunications and Industrial Engineering.
Main characteristics of the course:
Do not miss the opportunity, get one of the 20 available places!
Sign up for the Master in Quantum Computing Technology 2020-21
Registration open until January 7th 2021
Two full scholarships
for UPM staff
Two full scholarships are offered for UPM staff in each edition of the Master.
Accenture staff enjoy
a partial scholarship
Accenture staff enjoy a partial scholarship of twenty five percent of enrolment rates.
Here’s what people are saying about the course
José M. Atienza
Vice-Chancellor of UPM
UPM once again championing new technologies
Ever since its foundation, the Universidad Politécnica de Madrid has pushed for technological development as a driver of social development. The launch of its Master in Quantum Computing Technology exemplifies the UPM's leading role in the most advanced technologies, specifically revolutionary quantum technologies, where it rubs elbows with the very best in the world.
Dean of ETSISI
Our contribution to research in Quantum Technologies
Since the beginning of its doctoral program, ETS de Ingeniería de Sistemas Informáticos has been committed to Quantum Computing not only in research but also in teaching. The first doctoral thesis on this topic won the extraordinary doctorate award from the University and there are currently more students developing their thesis in this area. The proposal for this Master by the head of the School of Research in Quantum Computing reinforces our leadership in these innovative technologies.
Contents of the Syllabus
One credit: 4 hours of lectures + team work + individual work
Module 1: Adaptation (1.5 credits)
- Graduates in Computer Science or Computer Engineering: Linear Algebra, Introduction to Operators and Postulates of Quantum Mechanics.
- Graduates in Mathematics: Programming, Algorithmic, Software Engineering Foundations and Postulates of Quantum Mechanics.
- Graduates in Physics: Programming, Algorithmic and Software Engineering Fundamentals.
- Graduates in Industrial or Telecommunications Engineering: Programming, Algorithmic, Software Engineering Foundations, Introduction to Operators and Postulates of Quantum Mechanics.
Module 2: First Term (24 credits)
- Introduction to Quantum Computing (6 credits).
- Current Quantum Technology (1.5 credits).
- Quantum Algorithms (4.5 credits).
- Quantum Communications (3 credits).
- Quantum Walks and Quantum Queries (3 credits).
- Practices with Quantum Computer Simulators (6 credits).
Module 3: Second Term (24 credits)
- Quantum Simulation (1.5 credits).
- Adiabatic Quantum Computing (3 credits).
- Quantum Cryptography (4.5 credits).
- Quantum Computing Errors and Quantum Error Correcting Codes (3 credits).
- Practices with Gate-Oriented Quantum Computers (6 credits).
- Practices with Adiabatic Quantum Computers (6 credits).
Module 4: Master Thesis Project (12 credits)
The Master Thesis is a research and/or development project that addresses a problem of interest to the scientific community or to companies engaged in the development of Quantum Computing Technologies.
About the teachers of the Master
The teaching staff of the Master is made up of researchers from Universidad Politécnica de Madrid specialized in Quantum Computing and Accenture employees with experience in developing commercial Quantum Computing projects.
They have experience in the direction of Degree and Master Theses and the supervision of Ph. D. Theses, and have relevant contributions in Quantum Computing.
Biography of the members of the Master's teaching staff
The Director of our Master
Jesús Lacalle has published many articles on Quantum Computing, among which stand out his Discrete Quantum Computing model and his formula for the variance of the sum of two independent quantum computing errors.
He has directed three Degree Theses on Quantum Computing, one of which has received an award from the School, and a PhD Thesis on the same subject that won the award for extraordinary PhD Thesis from the University. He is currently supervising two more PhD Theses on Quantum Computing.
Our most international teacher
Giannicola Scarpa holds a PhD in quantum information from the University of Amsterdam. His research relates to entanglement theory and its applications in complexity, economics, source-channel coding, combinatorics, and cryptography. He published in top-ranked journals such as IEEE Transactions on Information Theory and Theory of Computing, and gave talks at conferences like ICALP and QIP. His extensive network of collaborators includes Simone Severini (Amazon Web Services), Harry Buhrman (QuSoft) and the economist Adam Brandenburger (NYU).
He is a gender equality and equal opportunities advocate.
Our Quantum Data Scientist
Alberto García is graduated on Physics by Universidad Complutense de Madrid. On his 4th year degree, he specialized in Quantum Information in Technische Universität München (TUM) where he also developed his bachelor thesis on Quantum Cryptogrpahy.
On 2017, he joined Accenture and, three months later, he helped to launch the Quantum initiative inside Accenture Digital in Spain. Since then, he has been developing real business use cases with both quantum paradigms (adiabatic and gate model) and carrying out benchmarks of all available real quantum computers to determine the state-of-art of Quantum Computing.
Luis M. Pozo
One of our multidisciplinary teachers
Luis M. Pozo has a PhD in Mathematics from the Universidad Complutense de Madrid, and also a Physics degree by the UNED. He has teached in the Universidad Complutense from 1997 to 2012, and in the Universidad Politécnica de Madrid since then. He has several publications on Theoretical Physics from a mathematical point of view, and has collaborated with Prof. Lacalle in three articles on quantum computing errors.
Our link with the industry
Ulises Arranz studied Computer Science at Universidad Politécnica de Madrid. He worked in Accenture for +32 years, focused on technology and innovation areas.
He launched and managed the Quantum Computing initiative in Accenture Spain for 3 years. He has participated in multiple events promoting and creating awareness around quantum technologies. He has been part of the EU Strategic Advisory Board for the European Quantum Flagship. He is now actively participating in the launching of the new European Quantum Industrial Consortium.
Our expert in Quantum Computing Architectures
Rafael Martín-Cuevas studied Computer Science at Universidad Politécnica de Madrid, where he is pursuing a Master's Degree on Software for Distributed and Embedded Systems -with a Master's Thesis on Quantum Computing-, and a PhD in Quantum Computing. Parallelly, he has been part of Accenture's Quantum Computing initiative since 2018 (mainly in the research and development of applications and architectures), is certified as Qiskit Advocate by IBM, and is involved in several training initiatives.
Our expert in Quantum Financial Services
Alejandro Borrallo is a physicist within the Quantum Computing team at Accenture Applied Intelligence. He completed his master’s degree in theoretical physics on the Universidad Complutense de Madrid with specialization in Quantum Information Theory.
He joined the Quantum Computing department in January 2018. His main role within the team is the identification and implementation of real business uses cases mainly in the Financial Services context, being the technical Lead of one of the first project in a Financial Services institution worldwide.
Our expert in quantum communications
Carlos González has a PhD in Mathematics from Universidad Complutense de Madrid. His research in Quantum Information Theory relates to entanglement theory, complexity theory, cryptography and random quantum evolutions with a recent interest in Machine Learning applications in which he is supervising a Postdoc. He has collaborated with more than twenty researchers from top institutions (UCL, MPQ, CWI, IQOQI) in fourteen publications in top ranked journals in Physics and Mathematical Physics.
André L. Fonseca
Universidad ORT Uruguay
Our first PhD in Quantum Computing
André Fonseca de Oliveira has an Electrical Engineer degree and a Master in Control Theory, both from the Universidad de la República Uruguay, and a PhD in Quantum Computing from the Universidad Politécnica de Madrid. He has five papers on Quantum Information and Computation in journals and more than fifteen articles in congresses and conferences. He has directed two Degree and a Master Thesis on the subject. He is currently supervising a Master and a Degree Thesis.
Our expert in Quantum Machine Learning
Víctor Pérez is a Strategy & Consulting Senior Analyst, he is combining his consulting tasks with the development of a PhD in Quantum Computing at Uuniversidad Autónoma de Madrid (UAM) since 2019. He completed the Master in Theoretical Physics at UAM in 2016. After that, in 2017, he joined Accenture in the group of Data & Analytics.
His current role is Team Lead, and he has experience in data architecture, data visualization and leadership functions. He has been working on Quantum Computing since 2018 and he has experience with IBM and D-Wave software. He has worked in the development of different use cases such as optimization problems and quantum machine learning applications.
Course Enrollments close on January 7th 2021
Don’t wait! Look at what past students have to say about this course
There are still no graduates of the Master, because the first edition is being launched at this time. Instead we include the testimonies of researchers or developers who have started in Quantum Computing with the teachers of the Master.
During my work under the supervision of professors of the Master, I have come to understand the advantages that Quantum Mechanics may offer to Artificial Intelligence. I have also learnt to implement Machine Learning algorithms inspired on Quantum Physics in Python. From my experience working with them and my background as a quantum physicist, I strongly recommend this Master, as it is one of its kind, it is strongly based on state-of-the-art quantum technologies and counts with a strong team of researchers and users of this technology as professors and mentors.
Laura N. Gatti
Universidad de Montevideo
Master Thesis and PhD Student
During my Master's thesis and my PhD I have received extensive theoretical training on Quantum Computing, one of the most important research topics today. I have learned to use powerful tools to build new algorithms and to implement practical applications. The solid theoretical base acquired allows me to understand the evolution of a rabidly dynamic industry based on Quantum Technologies. I especially remember the academic discussion generated to grow in the area.
Accenture Scholar and Teacher Team Collaborator
According to my personal experience in Quantum Computing working hand-to-hand with Accenture and Giannicola Scarpa, this master methodology encourages students to be part of the interesting and innovative world of quantum computation by giving them appropriate introduction lectures adapted to their previous knowledge. The contents gather the most relevant topics related with the existing types of quantum computation and their best practical applications, ensuring the understanding of how quantum mechanics is used as a form of information processing in a different and powerful way that allows high-complexity problem resolution.
Frequently Asked Questions
The places will be assigned to the students with the highest score by adding the following values:
1- Three times the average of the record of their university degree (maximum 30), if it is in Computer Science, Computer Engineering, Industrial Engineering, Mathematics, Physics or Telecommunications Engineering.
2- Two times the average of the record of their university degree (maximum 20), if point 1 above does not apply.
3- Two times the average of the record of their university Master's degree (maximum 20), if the student has these studies and it is in Computer Science, Computer Engineering, Industrial Engineering, Mathematics, Physics or Telecommunications Engineering.
4- Once the average of the record of their university Master's degree (maximum 10), if the student has these studies and point 3 above does not apply.
5- Three points for each year of professional experience in the field of the Master (maximum 15).
The practices are carried out on services provided by different companies (D-Wave Systems, IBM, QUTE Platform, Rigetti Computing...). Algorithms adapted to each of the systems will be implemented and run and new algorithms will be designed for the industry.