Hero

Quantum technology (PHYS720, Spring 2018)

Physical principles behind emerging quantum technologies, from quantum-limited amplifiers to atomic simulators. Examination of current and emerging platforms for quantum technologies, including neutral atom, ion trap, superconducting circuit, photonic, and spin-based approaches. Focus on hurdles for implementing quantum devices for new applications

Research Interactions in Mathematics (RIT on Quantum Information) (MATH489/689, Fall 2018)

This research-interaction seminar focuses on mathematical aspects of quantum information. We examine  various applications of algebra, analysis, and geometry to quantum foundations, quantum cryptography, quantum computing, and other topics. No previous experience in quantum theory is required, however linear algebra and (discrete) probability is a must. (Note: Research Interaction Team participation does not require enrollment in MATH489/689, however it is required to obtain credits.)

 

Introduction to quantum information processing (CMSC657, Fall 2018)

Quantum computers have the potential to efficiently solve problems that are intractable for classical computers. This course will explore the foundation of quantum computing. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics. No previous background in quantum mechanics is required.

Introduction to quantum computing (CMSC457/PHYS457, Spring 2019)

Quantum computers have the potential to efficiently solve certain problems that are intractable for ordinary, classical computers. This course will explore the concept of a quantum computer, including algorithms that outperform classical computation and methods for performing quantum computation reliably in the presence of noise. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics. No previous background in quantum mechanics is required.

Quantum technology (PHYS720, Spring 2019)

Physical principles behind emerging quantum technologies, from quantum-limited amplifiers to atomic simulators. Examination of current and emerging platforms for quantum technologies, including neutral atom, ion trap, superconducting circuit, photonic, and spin-based approaches. Focus on hurdles for implementing quantum devices for new applications.

Introduction to quantum information processing (CMSC657, Fall 2019)

Quantum computers have the potential to efficiently solve problems that are intractable for classical computers. This course will explore the foundation of quantum computing. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics. No previous background in quantum mechanics is required.

Quantum boot camp (CMPH499F/CMSC488A/ENEE489F/PHYS499F, Winter 2020)

Quantum Boot Camp is a short course for students interested in taking the Quantum Information Specialization within the College of Computer, Mathematical and Natural Sciences and A. James Clark School of Engineering. Designed for computer science, engineering and mathematics majors, Camp introduces basic concepts and techniques that are widely used in quantum information science. Its exercises are elementary versions of those that will be found in the full Quantum Information Specialization courses.

Introduction to quantum computing (CMSC457/PHYS457, Spring 2020)

Quantum computers have the potential to efficiently solve certain problems that are intractable for ordinary, classical computers. This course will explore the concept of a quantum computer, including algorithms that outperform classical computation and methods for performing quantum computation reliably in the presence of noise. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics. No previous background in quantum mechanics is required.

Introduction to quantum information processing (CMSC657, Fall 2020)

Quantum computers have the potential to efficiently solve problems that are intractable for classical computers. This course will explore the foundation of quantum computing. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics. No previous background in quantum mechanics is required.

Quantum boot camp (CMPH499F/CMSC488A/ENEE489F/PHYS499F, Summer 2020)

Quantum Boot Camp is a short course for students interested in taking the Quantum Information Specialization within the College of Computer, Mathematical and Natural Sciences and A. James Clark School of Engineering. Designed for computer science, engineering and mathematics majors, Camp introduces basic concepts and techniques that are widely used in quantum information science. Its exercises are elementary versions of those that will be found in the full Quantum Information Specialization courses.