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Course Criteria
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1.00 Credits
This two-semester sequence of courses focuses on the durable skills required for success in quantum careers. A significant portion of the course will be devoted to developing skills for clear written and verbal communication both within the discipline and to broader communities. Other skills to be covered include best practices in research, ethics, and rationale/techniques for minimizing bias. PREREQ: QSEG620.
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3.00 Credits
Introduces quantum computation and quantum information. Essential concepts will be discussed: two-level quantum systems, quantum measurements, entanglement, decoherence, difference between quantum and classical computation, and quantum logic gates. Quantum algorithms, quantum cryptography and quantum key distribution will be introduced with their applications. The quantum error-correction codes will be discussed. Presents students with a broad overview of the quantum information field, its rapid progress, and relevant scientific literature. PREREQ: Prior knowledge of quantum mechanics recommended and familiarity with linear algebra.
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1.00 - 12.00 Credits
No course description available.
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1.00 - 12.00 Credits
No course description available.
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3.00 Credits
Introduces the range of hardware and material platforms under consideration as elements of quantum devices. Fundamental concepts in two-level system will be introduced and applied to each qubit system. In all cases the course will discuss the building materials, operating regimes required (i.e. temperature, vacuum, etc), the methods for controlling qubits, the means for mediating qubit interactions, and the hardware necessary to implement all required control. PREREQ: MSEG640 or PHYS811.
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3.00 Credits
Introduces most important quantum and hybrid quantum-classical algorithms such as various versions of Quantum Approximate Optimization, Variational Quantum Eigensolver, Harrow-Hassidim-Lloyd, Quantum Fourier Transform, elements of Quantum Machine Learning, error correction and elements of mathematical optimization for both problems being solved on quantum devices and accelerating quantum computation. Students will implement algorithms and run them on quantum simulators and real quantum machines.
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3.00 Credits
Introduces students to the safe and effective use of the most common tools of experimental quantum science and quantum engineering. Students are not required to have prior knowledge of any of these skills before taking this course. This course will cover vacuum systems, cryogenics, optics, electronics, working principle of superconducting DC magnet, vector magnet, magnet quenching, and microwave electronics including waveguide and cavity designs and transmission/reflection measurement. This is a laboratory course in which students will receive a practical hands-on introduction to the experimental methods, safe handling of equipment, and debugging methods. Students will conduct exercises that reinforce and practice these skills.
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3.00 Credits
Introduces the essential concepts and tools of theoretical quantum information science research. The course begins with discussing foundational concepts in classical information theory, such as the connection between probability, information, and entropy. Quantum concepts will be introduced starting with the density operator formalism and measurement operators outlining the backaction of the measurement process. The mathematical formalism for entanglement using tensor products will be introduced with emphasis on bipartite systems. After introducing these pure states, the Master equation formalism for treating open quantum systems will be discussed. Finally, the connection between classical and quantum information theory will be established by introducing von Neumann entropy and related concepts.
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1.00 - 6.00 Credits
Students will conduct Internships working with or at national lab or corporate partners. The course will provide students with real-world experience in conducting quantum science and engineering research, development, or production activities.
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1.00 - 12.00 Credits
No course description available.
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