CS 290N Novel Computing Technologies

This course explores emerging computing and storage technologies from the perspective of how they will affect the design of computer systems. The first third of the course will focus on quantum computation and the remainder will focus on nanoscale technologies for classical (non-quantum) computation. Lecture and project topics will be guided by student interest.


Here are some lecture notes you can use to follow the quantum material in addition to the textbooks.

Here are some other lecture notes from Preskill at Caltech that are more detailed and physics-oriented.

Here's a link to a prior offering of this class and discussion topics.

Time: TR 1-2:50
Room: Phelps 2510
Prof. Fred Chong; office hours by appointment; Eng I 5163
Textbook: Quantum Computing for Computer Architects, Second Edition Tzvetan S. Metodi, Arvin I. Faruque, Frederic T. Chong. (should be free from a UCSB machine)
Optional Reference: Quantum Computation and Quantum Information, Michael Nielsen and Isaac Chuang, Cambridge Press, 2000.


  • Project Drafts due 2/27
  • Project final papers due 3/15


  • Labs 15%
  • Problem Sets 15%
  • Discussion Topic 20%
  • Project Proposals and Drafts 15%
  • Project Final Report 35%


  • Lab 1: Due 1/30/12. (html)
  • Lab 2: Due 2/20/12 . (html)

    Problem Set Information

    For each assigned paper, write up the following and e-mail me a copy before class:
  • A summary of the main points of the paper.
  • A critique of any shortcomings of the paper.
  • Any ideas on how one would extend the ideas in the paper or address its shortcomings.

    Discussion Information

  • Assign a paper for the class to read, one week before your discussion day.
  • Present the paper and supplemental material on your assigned day. Lead discussion, with my help, on the subject.

    Project Information

    Here's a link to a previous year's class and topics.

    Here is an example project paper. The project has two goals:

  • A critique of 3-5 related research papers. This is not a book report. Do not just summarize what is in the papers. Point out shortcomings and possible areas for extension.
  • Extension of the area. Address shortcomings or extend the work in the papers. Come up with some ideas and test them with a short project. This can be in the form of some simple analysis, simulations, algorithms, or models. Remember to pick something that will fit in a quarter.


  • Lecture (Tue 1/8/13): Project topics, technology overview, quantum computing introduction

  • Lecture (Thu 1/10/13): Quantum gates, Shor's Algorithm, Grover's Algorithm
  • Lecture (Tue 1/15/13): NO CLASS (Fred at Quantum PI meeting)
  • Lecture (Thu 1/17/13): Error correction and teleportation
  • Lecture (Tue 1/22/13): A quantum ion-trap architecture
  • Lecture (Thu 1/24/13): Nanoscale computing
  • Lecture (Tue 1/29/13): Nanofabrics
  • Lecture (Thu 1/31/13): DNA Self-Assembly
  • Lecture (Tue 2/5/13): QCA (Jeff)
  • Lecture (Thu 2/7/13): PCM (Brian)
  • Lecture (Tue 2/12/13): PCM 2 (Karim)
  • Lecture (Thu 2/14/13): QCA (Jeff)
  • Lecture (Tue 2/19/13): Neural Networks (Sean)
  • Lecture (Thu 2/21/13): Amorphous Computing(Charles)
  • Lecture (Tue 2/26/13) Nanophotonics (Summer)

  • Lecture (Thu 2/28/13) 3D Fabrication

  • Lecture (Tue 3/5/13) Smart Dust
  • Lecture (Thu 3/7/13): NO CLASS (Fred at conference)
  • Final Projects ()

    Last updated October 2012