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The Quantum Industrial Revolution is upon us. In the future, quantum technologies and quantum information science will revolutionize the industry, the market, ways of working and creating, and will shape society.

There is a very strong need of education in quantum science and technology for workforce development. Until now, quantum information science is reserved to Physics graduate students. However, entrepreneurs, computer scientists, technologists, engineers, politicians, they all need a basic training in quantum technologies without having to take a PhD in Physics.


The program consists of four courses that form a self-consistent introduction to the notions, tools and problems in quantum information science. All the mathematical tools beyond pre-Calculus necessary to understand quantum mechanics are introduced during the courses.  The sequence of courses will be: Fundamentals of Quantum Physics, Quantum Computation, Physics and Information, and Quantum Science Applications. The last course will cover quantum simulation, give students a hands-on opportunity to use cloud-based quantum computers, and feature experimental demonstrations of quantum mechanics. Lab tours and discussions with local industrial partners will give students real-world experience with the burgeoning quantum industry in the Boston area, with an emphasis on quantum optics and superconducting qubits.

  1. Fundamentals of Quantum Physics (P247) Basic ideas and mathematics of Quantum Mechanics. This course will cover the fundamentals of quantum physics in its phenomenological, theoretical and experimental basis. The course is aimed at conveying working knowledge of the principles of quantum mechanics towards the understanding of quantum information processing and quantum computation.

  2.  Quantum Computation (P347) Fundamental concepts of Quantum Computation and Quantum Algorithms. Broad overview of the main concepts and tools in quantum computation: fundamental elements necessary to perform quantum computation, survey of the existing quantum algorithms, quantum error correction, quantum simulation and quantum communication channels.

  3. Physics and Information (P351) Fundamental concepts of information theory and statistical mechanics as a core tool for the understanding of physics and computation.

  4. Quantum Science Applications (P447) Applications of Quantum Information Science. Survey of current implementation schemes from quantum computers, from superconducting flux qubits to ion traps to NMR to adiabatic computers like D-wave. Simulating quantum systems and quantum computers. Usage the package QUTIP to simulate quantum circuits and quantum systems on a classical computer and perform  quantum algorithms. Programming a real quantum computer using the IBM Quantum Experience module.

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