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COMP_SCI 496: Quantum Computer Systems


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Description

Quantum computation has been shown, theoretically, to provide substantial speedups when applied to select problems. While emerging quantum hardware has shown potential for encoding and transforming quantum states, current quantum technology remains in its prototype stage. Ultimately, quantum systems require reduced error rates and increased capacity to realize meaningful quantum computation. This course will explore the architecture of quantum computer systems, along with the challenges involved in making quantum computing technology practical. We will review progress toward developing the quantum compute stack, with a focus on software developments. This course is primarily targeted toward PhD students, but undergraduate and MS students interested in quantum systems research are also welcome. Students are expected to have a basic understanding of quantum computing principles (e.g., qubits, quantum circuits, and entanglement) before starting this course.

  • This course fulfills the Technical Elective area.
Prerequisites: 
  • Undergraduate students - CS 396, 496: Foundations of Quantum Computing and Quantum Information.  
  • PhD students – Course equivalent to CS 396, 496: Foundations of Quantum Computing and Quantum Information or relevant experience/expertise from independent study. If the latter, instructor permission is required.
COURSE INSTRUCTOR: Prof. Kate Smith