The intellectual horsepower at D-Wave Systems Inc., the world’s first quantum computing company, continues to go full throttle. The company breaks new ground anew by promising to release its 2,000-qubit quantum computer this year.
With quantum computing, solving important problems — that would normally entail an unreasonable amount of time to decipher — can be a breeze. With a speed 1,000 times faster than its currently available innovation, the new quantum computer may revolutionize fields ranging from engineering to machine learning and more.
It will be recalled that in June 2015, D-Wave announced that it has broken the 1000 qubit barrier when it developed a processor double the size of its previous generation. It was an offshoot of many years of dedicated research and development by the organization’s team of scientists, engineers and manufacturing people.
D-Wave has been collaborating with the academic and research communities and has cultivated relationships with several prestigious institutions that include universities of Harvard, MIT, British Columbia, UC Berkeley, and Simon Fraser University. D-Wave also maintains affiliations with numerous scientists who are leaders in their chosen specialties.
D-Wave Systems use a concept called quantum annealing, which works best on problems that have a lot of potential solutions. The company has long been working on the problem of qubits and takes pride in developing the 2,000-qubit quantum computer, which is ideal for optimizing solutions to problems by quickly searching over a space and finding a minimum (the solution.).
Quantum computing for machine learning development and related applications is one area that D-Wave itself is exploring. The company continues to develop models to improve image classification, generation, and analysis.
Indeed, high-tech and practical quantum computers are the future. They enable humans to efficiently carry out tasks that would take the most powerful supercomputers in existence today years to calculate. As the past chairperson of the Institute of Electrical and Electronics Engineers and Dr. Mohammad Amin tweeted, “Those who don’t adapt, don’t survive and if they do survive they don’t thrive.”