We are excited to present this beginner friendly topic to the professional community in a format that gets you the necessary skills to take advantage of this growing field.

In case you are curious about the subject, it may be helpful to check out the SFBay ACM hosted 1-hour introducotry talk on Quantum Computing by Bhairav Mehta: https://www.youtube.com/watch?v=oF2AqagQz4Y

NOTE: While this is a virtual class, we will cap it at classroom size so that there is a strong focus on learning. There is a nominal charge for the 6 hours of lecture - please sign up early as we will keep the attendee count low. This is NOT a MOOC. Registration also includes a 1-year SFBay ACM membership ($20 value)

Abstract

Quantum computing is coming closer to reality, with 80+ bit machines in active use. This course provides an intuitive introduction to the impacts, underlying phenomenon, and programming principles that underlie quantum computing. We will review real life problems and how they can be solved using real Quantum Computer and Simulators. Since the beginning of the 21st century, explosive advancement in the realization of quantum computing platforms has occurred, redefining information processing and computer science. With such development, multidisciplinary and advanced training is urgently needed to move the technology forward, which has applications in artificial intelligence and data science.

The course begins with an exploration of classes of computational problems that classical computers are not well-suited to solve. We then progress to an intuitive introduction to key QIS concepts that underlie quantum computing. Next, we introduce individual quantum operations, but with a symbolic representation and mathematical representation. A limited set of linear algebra operations will be taught so that students can calculate operation results. Finally, we string these individual operations together to create the algorithms that illustrate the performance advantage resulting from these unique operations. We will introduce fundamental concepts and theories of quantum information and technologies and provide an overview of various emerging technologies, including quantum communication, quantum sensing, and quantum computation. The primary focus of the program is to introduce state-of-the-art quantum bit architectures and their working principles and provide hands-on experience programming real quantum systems. In particular quantum computing, with minimal prerequisite courses.

Content: You will have access to all the notebooks, training material for hands-on workshop training.

Lead Instructor: Bhairav Mehta (Principal Data Science Manager, Microsoft)

Who is the course for?

Programmers curious about using Quantum Computing for Machine Learning
Aspiring Quantum Programmers
Programmers curious to take part in the Quantum Computing revolution

Anyone interested in quantum computing at the “popular science” and elementary technical level.

High school students, college students, and computer professionals interested in developing a qualitative understanding of quantum computing in order to understand the future of computing will benefit.

I recommend that students be comfortable with exponents, vectors, sine waves, and the basic concepts of probability. There are some equations, but we have endeavored to keep them as few and clear as possible.

While the mathematics is not too hard, some concepts will be new to most learners and require some mental stretching. Be prepared to exercise your brain! Basic undergraduate physics and mathematics courses found in typical sophomore or junior-level engineering or science degrees are sufficient.

Key topics covered

This will be a very lecture and lab heavy workshop. We will plan on a 1-hour webinar before the workshop weekend to get you ready for the class so that you can get the most out of it and come away with a tangible outcome.

Day 1: 10am-11:30am, Pacific Time

Section 1: Quantum Physics 101

Section Intro
Quantum Fourier Transform
Data stored in a QuBit
History of QC
Different Quantum Hardware and Quantum Supremacy
Use cases and Applications: NP-Complete problems
Schrodinger's cat and Superposition
Quantum Teleportation and Entanglement
Quantum Error Correction
Quantum Algorithms: Deutsche, Shor Factorization, Grover Optimization Algorithms
Quantum Random Number Generators and Cryptography breach
Quantum Fourier Transform

Day 1: 11:30am to 1pm

Section 2: Quantum Programming and platforms from IBM, DWave, Google, etc.

Getting Started
Quantum Hello World
Defining Quantum Circuits
Intro to Open Quirk simulator
IBM Quantum Experience
Qiskit and Examples on Notebooks
Running Jobs on Real Quantum Computer on IBM Quantum Experience portal
Defining the Hadamard gate
Defining the XMON Simulator
Running the program
Illustration of Bell State, Shor and Grover Algorithm on Quantum Circuits. Run them on IBM QC.
Quantum Physics of Spin States
Modeling Quantum Spin States with Math
Reversible and Irreversible State Transformations

Day 2: 10 am to 11:30am

DWave Leap
DWave Leap Intro
Installing Dwave Ocean SDK
What is a Graph Problem? Traffic analysis
Solving Graph Problem on Quantum Processing Unit
Google Cirq

Section 3: Quantum Computing Applications

Day 2: 11:30am tp 1pm

Quantum Cryptography
Post Quantum Cryptography
Quantum Key Distribution QKD
Quantum Teleportation and Quantum Internet Networks
Quantum Sensors
New frontiers
Quantum Machine Learning and Quantum Processing Units

Organizer & SFBay ACM Prof Dev Chair: Yashesh Shroff @yashroff

For more information about Registration, please contact SF Bay Chapter of the ACM, yshroff at g | m | a i l

We look forward to seeing you at the workshop!

Hands-On Quantum Computing Primer: Theory to Application

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