The Quantum Machine Learning Stream at CDL-Toronto is an incubator where founders and founding teams build quantum software startups. The program brings together entrepreneurs, investors, AI experts, leading quantum information researchers, and our technology partners, D-Wave Systems and Rigetti Computing, to create new ventures at the frontier of quantum machine learning.
All selected participants must attend a one-month technical bootcamp in Toronto in July 2018 and five in-person objective-setting sessions in Toronto between October 2018 and June 2019. Selected participants are also strongly encouraged to relocate to Toronto to take full advantage of program benefits, which include office space, GPU access, and hands-on technical support.
Founder, D-Wave Systems, Kindred AI, Sanctuary AI
Co-Founder & CEO, 1QBit
Partner, Data Collective
Other participating Fellows, and Associates:
Jeff Chung (Venture Capitalist, AME Cloud Ventures)
Academic Director – Quantum Machine Learning Program
Nam P. Suh Professor of Mechanical Engineering and of Physics at MIT
Co-Founder, Institute for Quantum Computing
Canada Research Chair in Computational Quantum Many-Body Physics, Perimeter Institute
Ideal CDL-QML candidates are creative, intelligent, and ambitious individuals and have strong backgrounds in machine learning, physics, math, statistics, or electrical engineering alongside a keen interest in quantum computing. The program’s focus is on early-stage companies (pre-seed) or even projects (pre-incorporation), however, startups at all levels of maturity will be considered. All QML programming and training is conducted in English and takes place in Toronto, Canada.
Representative CDL Alumni Ventures:
For more information, email email@example.com
By 2022 the QML Program will have produced more well- capitalized, revenue generating quantum machine learning software companies than the rest of the world combined. The majority of these will be based in Canada.
Quantum computers make direct use of the odd characteristics of quantum physics, such as superposition –a quantum bit (qubit) having multiple values at the same time – and entanglement – two qubits sharing and communicating certain characteristics despite large distances. While classical computation can make use of quantum effects (eg tunnelling), quantum computers have a high degree of control over quantum states, as well as a mechanism to prevent the decoherence of the quantum states on reasonable time scales.
Quantum machine learning uses quantum technologies to improve the speed and the performance of learning algorithms. This may involve performing classical computation on data from quantum sensors, or using a quantum computer to enhance machine learning on classical data. While scalable universal quantum computers are still a long way off, quantum machine learning may benefit from using current and near future quantum information processing devices.
Further background information on QML can be found through the following articles:
“Quantum Machine Learning” (Technical)
“Quantum Machine Learning: Path to a Better Artificial Intelligence?” (Non-technical)
For applicants coming from a computer science background, having a solid understanding of machine learning, probabilistic graphical models, statistics, and Monte Carlo methods is essential, along with experience with distributed systems.
For physicists, quantum computing, quantum many-body systems, and quantum information processing are the most relevant areas, and experience with large-scale numerical computations is a great advantage.
Python and Tensorflow experience is required.
Participants must be in Toronto for the technical bootcamp of the program during the month of July 2018 and for group sessions with CDL mentors in October 2018, December 2018, February 2019, April 2019, and June 2019. Participants are strongly encouraged to stay in Toronto for the rest of the program to best make use of CDL resources, to work through problems with the technical team, to have rich interactions with the city’s AI ecosystem and because Toronto is a fantastic place to build a tech company.
Companies must decide whether they opt in or out of the pre-seed investment at the outset of the program. Those that opt in and receive approval for their business proposals will receive US$80k for 8% equity, split into two tranches. The first $40k will be distributed in September 2018, the second $40k after companies successfully pass the fourth Q7 session in April 2019. Companies that do not pass the fourth session only receive $40k for 4% equity.
Founded in 1999, D-Wave Systems is the world’s first quantum computing company and the leader in the development and delivery of quantum computing systems and software. Its mission is to unlock the power of quantum computing to solve the world’s most challenging problems.
D-Wave systems are being used by world-class organizations and institutions including Lockheed Martin, Google, NASA, USC, USRA and Los Alamos National Laboratory. D-Wave has been granted over 140 U.S. patents and has published over 90 peer-reviewed papers in leading scientific journals.
Rigetti Computing is a full-stack quantum computing company that designs and manufactures superconducting quantum integrated circuits. Rigetti packages and deploys those chips in a low temperature environment, and builds control systems to perform quantum logic operations on them.
Rigetti believes the first useful quantum computers are within reach, and that quantum computing has the potential to one day have an enormous positive impact on humanity. To help realize that vision, it is also developing new algorithms for quantum computing, with a focus on near-term applications in computational chemistry and machine learning. Forest is the world’s first full-stack programming and execution environment for quantum/classical computing and includes Quil (quantum instruction language), the Rigetti programming standard for quantum/classical computing.
Yes, we will accept individuals with strong technical backgrounds. Submit an application, and a CDL team member will contact you.
Yes. Depending on your nationality, you may need a visa. Once you are accepted, we will work with applicants to ensure they will be able to enter and build businesses in Canada. International candidates are strongly encouraged to apply early.
Yes – particularly if they have specific industry expertise. The application is the same for those with technical and business backgrounds.
Ontario (Gov) | February 23, 2018
World’s first Quantum Machine Learning startup program lives in Ontario
Betakit | October 25, 2017
How quantum machine learning will solve problems once thought out of reach
Click here to read more about CDL’s Quantum Machine Learning program in the news.