What you will learn

Master in Quantum Science & Technology

Theoretical classes and practical labs to acquire essential knowledges and tools for disruptive and unique careers

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Start date

January 2025

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Time commitment

6 months + 4-month internship in a company

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Format

In-person

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Duration

1 year

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Fee

€5.000

Courses

Elevate your learning experience by augmenting core courses with dynamic weekly seminars, offering a visionary outlook on the latest advancements in the field of Quantum Science and Technologies.

6 CFU
Mandatory

Foundations of Quantum Information

Elements of linear algebra and fundamental principles of quantum mechanics. Quantum states, evolution, and measurement. Elements of information theory and probability. Classical bits and quantum bits. Entanglement, entropy, and information.

5 CFU
Elective

Quantum Computing

Quantum operations and errors. Fundamental protocols of quantum computation and circuits: quantum gates. Fidelity. Elements of classical computation and complexity classes. Quantum advantage.

5 CFU
Elective

Quantum Algorithms

Functioning of key quantum algorithms and their fields of application: search algorithm, quantum Fourier transform, Shor’s algorithm for prime factorization. Practical activities dedicated to the implementation of specific algorithms on a quantum computer simulator.

5 CFU
Elective

Quantum key distribution

Protocols and technologies for quantum telecommunications. Secure distribution of cryptographic keys, with recent advancements, use cases, challenges, and roadmap towards the development of a future “quantum internet.” Limitations and technological challenges.

5 CFU
Elective

Quantum Communications and Networks

Optical instruments and nonlinear optics, quantum communication protocols, and related experiments.

5 CFU
Elective

Fundamentals of machine and deep learning

Fundamentals of classical Machine Learning and feature engineering. Practical activities dedicated to the study and implementation of Machine Learning and Deep Learning algorithms, such as artificial neural networks, decision tree forests, and deep convolutional neural networks.

5 CFU
Elective

Quantum Machine Learning

Machine Learning methods for quantum computing processors. Variational methods for optimizing quantum circuits. Training methods for recognizing quantum models. Quantum simulations.

5 CFU
Elective

Quantum Sensing

Fundamentals of estimation theory and quantum metrology. Principles, methods and figures of merit of quantum sensors. Platforms for quantum sensing and Use Cases. Activities devoted to the design of quantum sensors using atomic vapors.

5 CFU
Elective

Quantum Imaging

Correlated light sources and sensors for quantum imaging, ghost imaging and its evolutions, correlation plenoptic imaging, single-pixel imaging, imaging with undetected photons.

5 CFU
Elective

Atom-based Quantum Technologies

Preparing atomic samples and atom-photon interfaces for Quantum Technologies. Examples of phase transitions in ultracold atomic samples, overview of the fundamental properties of atomic superfluids, both bosonic and fermionic and the transition from Mott insulator to superfluid. Properties of Supersolids. Overview of Rydberg-based quantum gates.

4 CFU
Mandatory

Management

Finance, high-tech entrepreneurship, design thinking, growth hacking, identity and communication, business plan, corporate culture.

Scholarships available

Skills

The courses are closely aligned with real use cases, offered and guided by our partners. Through this blend of theoretical knowledge and practical applications, you will gain valuable insights, experience, and cross-functional skills directly applicable to industry demands.

Mathematics

Knowledge and application of essential mathematical and theoretical tools to contribute to the research and development of quantum technologies.

Quantum Computing and Programming

Proficiency in the principles of quantum computing and quantum programming and the implementation of quantum algorithms through direct programming experience on simulators

Database Management

Ability to manage large-scale databases using state-of-the-art methods developed for Big Data analysis and quantum machine learning.

Quantum Design

Capability to assess limitations and opportunities of current quantum processors and quantum cryptography protocols, along with associated challenges and opportunities in developing quantum communication networks.

Quantum Imaging and Sensing

Understanding of the operating principle, the potential applications, and the challenges associated with key protocols of quantum imaging and sensing.

Management Skills

Capacity to solve complex problems through a creative vision and management approach, fostering an innovative mindset, developing a business plan, securing funding and promoting business growth.

FAQ

Leave your email in the designated section and fill out the form below this section: we will contact you as soon as the enrollment call is released.

You can attend individual courses to obtain a certificate of attendance and academic credits. Additionally, the Master’s program offers customizable paths, allowing you to choose which courses and labs to take based on your needs and interests.

Scholarships will be awarded based on the admission ranking and the requirements stated in the call. The call for scholarship applications is published in the administrative webpage of the master. Make sure to be notified promptly about selection updates and possible call reopening by leaving your email in the designated form.

In addition to holding a Master’s degree in STEM subjects or statistics, each candidate will go through an evaluation interview to assess the necessary knowledge for attending the Master’s program. For more information, please refer to the Admission page.

Quantum Science & Technology Master’s program is a 6-month experience, divided into three dynamic quarters of Monday-to-Friday classes, totaling an engaging 20 hours per week. Our program is designed to ensure a seamless integration of courses, avoiding overlaps and allowing you to take multiple courses simultaneously. As you embark on a 4-month internship, seize the opportunity to shape your work schedule in collaboration with the host company. Embrace a commitment of approximately 40 hours per week, Monday to Friday, for an immersive and impactful learning experience.

Lectures are expected to start on January 2025. More information will be provided by mid-September.

Lectures will be given every day, but depending on the courses, participants may have full or short days. There are three terms, with a couple of weeks in between.

At the master’s opening and start of the lectures, we will organize a presentation of the master’s program and partner companies.

Enroll now and get the access to the internships

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