Free Online Quantum Computing Microsoft Resources for Getting Started

Quantum Computing is going to change the technology landscape as we know it. Qbits, as Microsoft calls it, can compute tasks in hours or days which would otherwise not be resolved using today’s computing methods. The scalability and performance are going to give Moore’s Law a whole new meaning.

Just like all the tech giants including IBM, Google, Facebook, and others, Microsoft, have put in some of the most prominent minds in physics, maths, computer science, & engineering to deliver cutting-edge quantum innovation to the masses. It is the holy grail of computer scientists who are bringing in the new age tech to the masses. In fact, there is genuine interest from a lot of developers out there in this field. Since I was also in the initial phases of learning what it is and how it works, I have collated a list of online resources for our visitors to share. Here is our post on free online Quantum Computing Microsoft resources for you. Read along to know more!

Free Online Quantum Computing Microsoft Resources for Getting Started

Check out the enclosed links below and online resources you might find helpful:

Videos:

1. Thoughts on Quantum Computing with Michael Freedman
2. Introduction to Quantum Computing

3. Transforming Machine Learning and Optimization Through Quantum Computing  (July 18th, 2017)

4. Probability and Uncertainty – The Quantum Mechanical View of Nature: (Needs Silverlight)
5. Quantum Computation for Quantum Chemistry: Status, Challenges, and Prospects – Session 1
6. Quantum algorithm for solving linear equations
7. Krysta Svore – One Entangled Evening
8. Quantum Computing – Top 3 Microsoft Breakthroughs with Krysta Svore
9. The Mathematics of Quantum Computers | Infinite Series
10. Hacking at Quantum Speed with Shor’s Algorithm | Infinite Series
11. A Beginner’s Guide To Quantum Computing
12. Some Light Quantum Mechanics by 3Blue1Brown (Grant Sanderson)

Academic Papers:

1. National Institute of Informatics Japan: https://www.nii.ac.jp/pi/n8/8_49.pdf
2. Microsoft Academic Graph: Quantum Technology, Algorithm, and Quantum Computing
3. Downloadable Online Resources & Whitepapers: Click Here

Research Reports:

1. ASCR Report on QC for Science
2. Deloitte’s TechTrends 2018 (page 141ff)

Quantum Mechanics and Quantum Computation

A simple conceptual introduction to quantum mechanics and quantum computation.

(https://www.edx.org/course/quantum-mechanics-quantum-computation-uc-berkeleyx-cs-191x)

Recommended Books list:

1. The New Quantum Universe (2003), Tony Hey
2. Quantum Information Theory (2017)
3. Picturing Quantum Processes: A First Course in Quantum Theory and Diagrammatic Reasoning (2017), Bob Coecke, Aleks Kissinger
4. Foundations of Quantum Programming (2016), Mingsheng Ying
5. Quantum Information Theory (2017)
6. Quantum Computing since Democritus (2013), Scott Aaronson
7. Quantum Information Theory (2017), Mark Wilde

Dev-Toolkit from Microsoft

Microsoft “Quantum Development Kit” using quantum focused programming language, a.k.a Q# which supports Windows, Apple macOS, and Linux Operating Systems.

Recent Articles:

1. Quanta Magazine: Job One for Quantum Computers: Boost Artificial Intelligence
2. Ars Technica: Quantum computing’s future is almost semi-here—are we ready for it?
3. RTInsights – What Would Happen if We Could Compute a Million Times Faster?
4. Wired: Google’s Quantum Computing Party is as Fancy as Physics Gets
5. The Next Web: Understanding quantum computers: The basics
6. WSJ – Start planning for a Quantum World

The publications of Microsoft’s Quantum Computing Team:

1. Quantum Architectures and Computation group (Redmond, US)
2. Station Q (Santa Barbara, US)
3. Microsoft Quantum (Delft, NL)
4. Center for Quantum Devices (Copenhagen, DK)
5. Quantum Nanoscience Laboratory (Sydney, AUS)
6. Microsoft Quantum – West Lafayette (Purdue, US)

Other Resources

Grant Sanderson also has excellent online videos on Machine Learning. 

• What is a Neural Network? (19min),
• Gradient descent, how neural networks learn (21 min),
• What is backpropagation really doing? (14 min),
• Backpropagation calculus, Appendix to deep learning (10 min)

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