Stony Brook University 1-3 credit PHY
The field of quantum information and computation has evolved to a stage where there are quantum devices that can be programmed and various tasks and algorithms can be tested on these devices. This course introduces various quantum programming frameworks. It aims to provide a more practical approach of learning quantum computing by programming, via software developed using Python. Important basic quantum algorithms will be reviewed and learned by programming them and simulating their action. Moreover, an emphasis will be paid to the so-called Variational Quantum Eigensolver that has already been used on many problems, from molecular energies and optimization to financial applications and quantum machine learning. Some illustration of quantum programming will be done on IBMβs transmon-type cloud quantum computers. Beyond the circuit-based quantum computers, programming quantum annealers will provide an alternative approach to solve a wide family of optimization problems. 1-3 credits Grading Letter graded (A, A-, B+, etc.)
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