NYU Classifieds>NYU Online Courses>Applied Quantum Computing III: Algorithm and Software

Applied Quantum Computing III: Algorithm and Software

About this Course

This course is part III of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. The goal of part III is to discuss some of the key domain-specific algorithms that are developed by exploiting the fundamental quantum phenomena (e.g. entanglement)and computing models discussed in part I. We will begin by discussing classic examples of quantum Fourier transform and search algorithms, along with its application for factorization (the famous Shor’s algorithm). Next, we will focus on the more recently developed algorithms focusing on applications to optimization, quantum simulation, quantum chemistry, machine learning, and data science. A particularly exciting recent development has been the emergence of near-intermediate scale quantum (NISQ) computers. We will also discuss how these machines are driving new algorithmic development. A key aspect of the course is to provide hands-on training for running (few qubit instances of) the quantum algorithms on present-day quantum hardware. For this purpose, we will take advantage of the availability of cloud-based access to quantum computers and quantum software. The material will appeal to engineering students, natural sciences students, and professionals whose interests are in using as well as developing quantum technologies. Attention: Quantum Computing 1: Fundamentals is an essential prerequisite to Quantum Computing 2: Hardware and Quantum Computing 3: Algorithm and Software. Learners should plan to complete Fundamentals (1) before enrolling in the Hardware (2) or the Algorithm and Software (3) courses. Alternatively, learners can enroll in courses 2 or 3 if they have solid experience with or knowledge of quantum computing fundamentals, including the following: 1) postulates of quantum mechanics; 2) gate-based quantum computing; 3) quantum errors and error correction; 3) adiabatic quantum computing; and 5) quantum applications and NISQ-era.

Created by: Purdue University

Level: Advanced


Related Online Courses

Die Menschheit steht vor grossen globalen Herausforderungen und Widersprüchen: zunehmender Wohlstand, aber auch wachsende Ungleichheit; Überkonsum einerseits, Unterernährung andererseits; zu... more
In this introductory course, you’ll learn some engineering principles that can be applied to structural systems everywhere: in nature, in furniture, in mechanical and aerospace systems, and in a... more
This course covers non-equilibrium statistical processes and the treatment of fluctuation dissipation relations by Einstein, Boltzmann and Kubo. Moreover, the fundamentals of Markov processes,... more
In this nuclear energy course, we will tackle provocative questions such as: Is nuclear energy a good substitute for fossil fuels to reduce our CO2 emission or not? Can nuclear reactors operate... more
Robotics is commonly defined as the study of the intelligent connection between perception and action. As such, the full scope of robotics lies at the intersection of mechanics, electronics, signal... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL