Semester: Spring

Offered: 2020

As a first course in quantum mechanics, tailored for engineering, applied mathematics and computer science students, this course will teach concepts needed to engineer a quantum world, to understand quantum mechanical properties of materials and build an intuition for quantum information science. The course will be a hybrid of lectures on theory, state-of-the-art computational methods (‘theory-lab’) in quantum simulations and we will use IBM Q Experience, an open access quantum computer. Topics will include periodic potentials, quantizing vibrations in solids, spin matrices, an introduction to qubits and quantum algorithms. Assignments will teach the basics of the Python programming language, introduce students to open source scientific software and quantum simulation methods.

Class Hours Tuesday 12-1:15pm

Thursday 12-1:15pm

Pierce 209

Lab Hours Wednesday Afternoon

Slots TBD

Maxwell Dworkin

Office Hours with Prineha Narang Tuesday 10-11am

Thursday 3-4pm

Pierce Hall 304

Teaching Fellows Milan Williams

Zach Buttenwieser

Postdoctoral Fellows (Resources for the Class) Dr. Kade Head-Marsden

Dr. Stefan Krastanov

Dr. Tomas Neuman

Senior Computational Science Engineer at Active

Learning Labs.

Dr. Nishant Sule