D-Wave Quantum Inc., a leading quantum computing company, has launched a new online course, “Foundations for Quantum Programming,” to address the growing demand for skilled quantum programmers. The course, which includes video presentations, quizzes, and hands-on programming activities, aims to equip learners with essential mathematics and Python skills for quantum computing. The course was developed in response to a survey by Hyperion Research, which identified a lack of in-house quantum computing expertise as a major hurdle for businesses. Victoria Goliber, global head of technical advising at D-Wave, emphasized that quantum computing isn’t just for specialists and that their learning programs are key to building a quantum-ready workforce.
D-Wave Quantum Inc. Introduces Quantum Programming Course
D-Wave Quantum Inc., a company known for its work in quantum computing systems, software, and services, has recently announced the launch of a new quantum training course. The course, titled “Foundations for Quantum Programming,” is a six-module, self-paced, online program designed to equip learners with essential mathematics and Python skills. This course is intended to serve as a stepping stone towards D-Wave’s flagship course, “Quantum Programming Core.”
Bridging the Quantum Skills Gap
The “Foundations for Quantum Programming” course includes video presentations, quizzes, and hands-on programming activities, requiring approximately 10 hours of learners’ time. Upon completion, learners will have gained crucial skills such as identifying optimization problem objectives and variables, representing problem objectives as mathematical expressions, converting constraints to penalty functions, and writing basic Python programs for quantum programming.
This new course was developed in response to the success and feedback of over 500 students who completed “Quantum Programming Core,” a mid-level course designed for individuals with intermediate Python programming skills who want to accelerate their quantum application development. Students can take a self-assessment to determine which course is most appropriate for them to start their quantum training journey—although “Foundations for Quantum Programming” is recommended as a prerequisite for “Quantum Programming Core.”
The Demand for Quantum Computing Expertise
A 2022 survey conducted by Hyperion Research revealed that early adopters of quantum computing identified the “lack of in-house quantum computing expertise and domain knowledge” as a significant hurdle in adopting quantum computing in their businesses. Increased access to abundant academic and enterprise learning opportunities can help close the skills gap and enable a quantum-ready workforce.
Victoria Goliber, global head of technical advising at D-Wave, stated, “Quantum computing isn’t just for specialists. We’re equipping employees across roles to take advantage of this technology now. From students to experienced professionals, our expanding learning programs are key to building a quantum-ready workforce to accelerate the adoption of quantum technologies.”
D-Wave’s Learning Resources and Quantum Cloud Service
In addition to the new course, D-Wave also offers an extensive library of free resources with case studies, technical whitepapers, videos, and much more to help boost learning opportunities for students. Students can also put learning into practice by signing up for a Leap™ quantum cloud service account so they can develop quantum applications and run them on D-Wave’s quantum and hybrid solvers.
D-Wave Quantum Inc. is a company that specializes in the development and delivery of quantum computing systems, software, and services. It is the world’s first commercial supplier of quantum computers and the only company building both annealing quantum computers and gate-model quantum computers. D-Wave’s technology has been used by some of the world’s most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jülich, University of Southern California, and Los Alamos National Laboratory.
External Link: Click Here For More