This seminar is meant to convey quantum information science to a broad audience of undergraduate/graduate students, post-docs, and professors, with emphasis on quantum computing/quantum algorithms.

​Spring 2019: We meet every Wednesday in 1300 BPS from 10:15 - 11:15 am.
​
Lecture notes for each seminar are linked  below. My approach is to introduce topics in a pragmatic way and present background material in a need-to-know basis. Lecture notes often add more material and expand on topics not covered in the seminar. I will continue uploading lecture notes as the QuIC seminar progresses. At the bottom of the page are (mostly) free online resources for learning quantum computing and quantum information theory.

​If you would like to be added to our email list (weekly emails about seminar topics + quantum technology news), please sign up below.

---

Spring Semester 2019

Theme: Quantum algorithms, computational complexity, and quantum software.
When? Wednesday's 10:15 - 11:15 am.
Where? 1300 BPS.

• QuIC Seminar 21, Wednesday 04-24-2019.
  • Boson-sampling.
• QuIC Seminar 20, Wednesday 04-17-2019.
  • Circuit QED Part 2.
• QuIC Seminar 19, Wednesday 04-10-2019.
  • Circuit QED Part 1.
• QuIC Seminar 18, Wednesday 04-03-2019.
  • The Quantum Approximate Optimization Algorithm.
    • Web-based Jupter notebook with QAOA implementation in Cirq for the Ising Hamiltonian.
• QuIC Seminar 17, Wednesday 03-27-2019.
  • The Variational Quantum Eigensolver.
    • Web-based Jupyter notebook with VQE implementation in pyQuil for molecular Hydrogen.
• QuIC Seminar 16, Wednesday 03-20-2019.
  • Quantum Simulation: Hamiltonians in Occupation Number Representation.
• QuIC Seminar 15, Wednesday 03-13-2019.
  • The Hidden Subgroup Problem and the Visible Engineering Problem. (Intro to Modern Quantum Computing).
• QuIC Seminar 14, Wednesday 02-27-2019.
  • Introduction to Quantum Simulation Algorithms.
• ​QuIC Seminar 13, Wednesday 02-20-2019.
  • Shor's Algorithm Part 2.
• QuIC Seminar 12, Wednesday 02-13-2019.
  • Shor's Algorithm Part 1.
• QuIC Seminar 11, Wednesday 02-06-2019.
  • Simon's Algorithm.
• QuIC Seminar 10. Wednesday 01-23-2019.
  • Bernstein-Vazirani algorithm.
• QuIC Seminar 9, Wednesday 01-16-2019.
  • Recap of the Gate Model, Intro to Query Model, and the Deustch-Jozsa Algorithm.

---

Fall Semester 2018

Theme: Introduction to quantum computing.

• QuIC Seminar 8, Monday 11-03-2018.
  • Classical and Quantum Error Correction. (Starts on page 7.)
• QuIC Seminar 7, Monday 11-26-2018.
  • Building a Quantum Computer.
• QuIC Seminar 6, Monday 11-19-2018.
  • Quantum State Formalisms.
• QuIC Seminar 5, Monday 11-12-2018.
  • Grover's Search Algorithm.
• QuIC Seminar 4, Monday 11-05-2018.
  • The Phase Estimation Algorithm.
• QuIC Seminar 3, Monday 10-29-2018.
  • More on Tensor Products and Measurements.
• QuIC Seminar 2, Monday 10-22-2018.
  • The Quantum Teleportation Algorithm.
• QuIC Seminar 1, Monday 10-22-2018.​​
  • The Circuit Model of Quantum Computing.
• QuIC Seminar 0, Monday 10-15-2018.
  • Intro to Seminar & Quantum Technologies.

---

External Recommended Resources

Resources on Quantum Computation/Information:

• [Textbook] Quantum computation and information by Nielsen and Chuang.
  • Gold-standard introductory/reference textbook for the field.
• [Lecture notes] Preskill's Lecture Notes.
  • Famous lecture notes for John Preskill's course on quantum computation.
• [Lecture notes] Scott Aaronson Quantum Computing Lecture Notes.
  • Lecture notes from the course "Introduction to Quantum Information Science" at UT Austin.
• [Lecture notes] Ronald de Wolf's Lecture Notes.
  • Covers quantum algorithms, quantum complexity, "Alice and Bob stuff," and error correction.
• [Lecture notes] Andrew Child's Lecture Notes.
  • Lecture notes on quantum algorithms.
• [Textbook] Quantum information theory by Mark Wilde.
  • Textbook on quantum information, pdf available for free through MSU library (for MSU students/faculty).
• [Video lectures] Quantum computing for the determined by Michael Nielsen.
  • Short course with lecture videos on quantum computing.
• [Video lectures] Boulder 2018 School on Quantum Information.
  • Video lectures/lecture notes on quantum information science by multiple researchers in multiple areas (algorithms, entanglement, foundations, etc.).
• [Video lectures] Quantum Information Course by Daniel Gottesman.
  • 14 video lectures from Daniel Gottesman's course on quantum information at Perimeter Institute, recorded in 2015.
• [Textbook] A course in quantum computing for the community college.
  • Excellent self-contained, introductory notes on quantum computing and background topics (complex numbers, vector spaces, matrices, etc.). Video lectures are also available.
• [Lecture notes] Quantum computing course by Dave Bacon.
  • 2006 CS intro/survey to quantum computing covering quantum algorithms, error correction, and quantum information.
• [Video lectures] Mathematical methods of quantum information theory.
  • Video lectures by Richard Werner at the Leibniz Universität Hannover in 2017.
• [Lecture notes] ​​The complexity of quantum states and transformations.
  • Lecture notes for a 2016 workshop on on quantum complexity, covering basic quantum to complexity to AdS/CFT to quantum money.
• ​​[Website] Quantum algorithm zoo.
  • Website with an up-to-date list of all (most) known quantum algorithms.

Resources on Quantum Programming:

• [Review paper] Overview and comparison of gate level quantum software platforms.
  • ​Survey paper on quantum programming languages.
• [Video lecture] Quantum information and quantum programming.
  • 2018 talk by the great Ali Javadi-Abhari at the 45th International Symposium on Computer Architecture.
• [Website] Quirk: Drag-and-Drop Quantum Circuit Simulator.
  • Graphical drag-and-drop quantum circuit simulator for pedagogical purposes with video tutorials and several example algorithms.
• [Quantum software] Forest by Rigetti.
  • GitHub, Documentation, Grove.
• [Quantum software] Qiskit by IBM.
  • GitHub, Documentation, IBM Quantum experience.
• [Quantum software] Cirq by Google.
  • GitHub, Documentation.
• [Quantum software] ProjectQ .
  • GitHub, Documentation, website.
• [Quantum software] QDK by Microsoft.
  • GitHub, Documentation.

Other Resources:

• [Blog] Shtetl-Optimized.
  • Blog by Scott Aaronson. Popular amongst quantum mechanics.
• [Wiki] Timeline of quantum computing.
  • Historical events in chronological order since 1960.
• [Book] Quantum computing since Democritus.
  • Book/course by Scott Aaronson. A philosopher's  perspective on quantum computing.
• [Website] Advice from Aram.
  • Advice on learning quantum computing from one of the field's best researchers.
• [Open problems] Ten Semi-Grand Challenges.
  • Ten problems in quantum information theory by Scott Aaronson, from 2005.
• [Website] Quantum computing report.
  • Up-to-date information on all happenings in quantum computing, more focused on the business side.