Welcome to the Institute for Quantum Computing

The Institute for Quantum Computing (IQC) is a scientific research institute at the University of Waterloo. The research happening at IQC harnesses the quantum laws of nature in order to develop powerful new technologies and drive future economies.

Faculty Positions Open NowIQC in the news

What is quantum computing?

Start with our Quantum computing 101 page. It's a quick start guide on quantum computing to help you understand some of the basic principles of quantum mechanics.

Delivering on the quantum promise 

The Transformative Quantum Technologies (TQT) program at the University of Waterloo aims to advance the use of quantum mechanics from laboratory curiosity to an impactful device. 

  1. Mar. 18, 2019Quantum illuminates new potential for radar technologyMicrograph of the device used to generate the entangled microwave signals.

    Researchers at the Institute for Quantum Computing (IQC) performed the first demonstration of quantum-enhanced noise radar, opening the door to promising advancements in radar technology.

    En francais

  2. Mar. 4, 2019The next generation quantum sensorArtist's representation of the interaction of incident single photon pulses and a tapered semiconductor nanowire array.

    Researchers at the Institute for Quantum Computing (IQC), led by faculty member Michael Reimer, have developed a new quantum sensor based on semiconductor nanowires that can detect single particles of light with high speed, timing resolution and efficiency over an unparalleled wavelength range, from ultraviolet to near-infrared.

    En français

  3. Mar. 4, 2019New quantum technology projects receive funding boostTransformative Quantum Technologies

    Detecting chemicals in water with quantum sensors and developing new materials to enable topological quantum computing are among the goals of eight projects recently supported by the Quantum Quest Seed Fund (QQSF).

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  1. Mar. 20, 2019How to learn a quantum state

    John Wright, Massachusetts Institute of Technology (MIT)

    In the area of quantum state learning, one is given a small number of "samples" of a quantum state, and the goal is use them to determine a feature of the state. Examples include learning the entire state ("quantum state tomography"), determining whether it equals a target state ("quantum state certification"), or estimating its von Neumann entropy.

  2. Mar. 22, 2019RAC1 Journal Club/Seminar Series

    An introduction to making scientific figures with Illustrator and Blender

    Special guest speaker: Christopher Gutierrez, University of British Columbia

    Scientific research can be a slow and laborious process. The absolutely final step in the process is to then communicate your exciting scientific findings to other scientists both in and outside of your field. Yet it is often at this final step where the least amount of time is spent.

  3. Mar. 22, 2019CryptoWorks21 - IP in Academia

    Speaker: Doug Beynon

    Abstract:

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Meet our people

Jonathan Baugh

Faculty, Associate Professor

Jonathan Baugh is working toward the physical realization of quantum information processors in solid-state systems, using the property of spin to encode and manipulate quantum information.

Past work has focused on solid-state nuclear magnetic resonance devices, and more recently on combined electron-nuclear spin systems and single electron spins in quantum dots.

Current visitors

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