Get Quantum Ready

IBM Q logo

Imagine you could travel back in time to better prepare yourself for the rise of the Internet or mobile devices. That’s the opportunity that exists now with quantum computing.

The IBM Q Hub at NC State is a center of quantum computing education, research, development and implementation. We work directly with IBM to advance quantum computing as well as interdisciplinary applied research, student development and quantum computing curricula at NC State. NC State researchers and students collaborate with IBM scientists, engineers and consultants to pioneer quantum computing in order to solve real-world problems faster and more efficiently than may be possible with a classical computer.

Starting fall 2018, NC State gained access to IBM Q commercial quantum computing devices, including the most advanced and scalable universal systems available. The current 20 qubit IBM Q system will be followed by a next generation 50 qubit prototype, anticipated in 2019.


Become Part of the Network

NC State Access Request

NC State students, faculty and staff interested in accessing the IBM Q Hub at NC State may request access by filling out the form at the below link.

Request access

 

Quantum Resources

Are you an NC State student, faculty or staff member interested in quantum computing? Access resources by visiting the below link.

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Now Hiring

We are in the process of hiring a Postdoctoral Research Scholar.

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News

NC State Names IBM Q Hub Leadership

Dr. Daniel Stancil, Alcoa Distinguished Professor and head of NC State’s Department of Electrical and Computer Engineering, will be executive director of the hub, and Dr. Patrick Dreher, research professor in the Department of Computer Science and associate faculty member in the Department of Physics, will be the hub’s chief scientist.

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Gaining a Quantum Advantage

Scientists prove a quantum computing advantage over classical.

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NC State is the first university-based IBM Q Hub in North America.

IBM Q Hubs are part of a worldwide community of leading Fortune 500 companies, startups, academic institutions, and national research labs working with IBM to advance quantum computing.

Read the announcement

This is Quantum Computing

IBM Q Network Hub

A look inside an IBM Q quantum computation center. Photo by Connie Zhou for IBM.

Quantum computers are incredibly powerful machines that take a new approach to processing information using the principles of quantum mechanics. There are currently problems that classic computers can’t solve. These generally involve exponential scaling such as large-scale optimization or chemistry simulations. Quantum computers are being built to work with classical computers to solve these problems.

Quantum Today

Quantum computing has been pursued for decades in research labs and is still in early stages of development. However, prototype machines are today getting bigger and more capable, and significant advances are being made in quantum software development. Industries are just starting to explore the possibilities, and universities are beginning to develop quantum computing curriculums. Quantum computing has the potential to solve large-scale societal challenges in areas such as complex optimization, molecular modeling, machine learning, physics, materials science, chemical simulations and data discovery, and impact future breakthroughs in:

  • Helping researchers create new medicines or materials
  • Delivering (shipping, transporting) a product across the globe with the least amount of fuel
  • Managing risk in constantly fluctuating financial markets
  • Training artificial intelligence

Discover Quantum with IBM Q

IBM Q is an industry-first initiative to build commercially available universal quantum computers for business and science.

Learn more about IBM Q

Learn the Basics of Quantum Computing

IBM is rapidly driving scientific advancements and discovery in improving the functionality of quantum computers and realizing quantum’s potential to solve some of today’s unsolvable problems in areas such as chemistry, machine learning and optimization.

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