In This Article:
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IonQ takes a different approach than peers in the development of quantum computing.
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The market opportunity is enormous and expected to emerge over the next decade.
Quantum computing is the next big technology that could change the world. It has massive implications for artificial intelligence (AI), as we're currently using traditional computing methods to train these models. While the results we've seen are impressive, they pale in comparison to what quantum computing can do.
Finding solid quantum computing stocks can be difficult, as there are multiple approaches and the technology is complex. However, I think there's one company that's well-positioned to drive massive quantum computing growth over the next decade, and the implications it will have in the AI realm will be massive.
While there are many competitors in the quantum computing arms race, one that I think will be a huge winner is IonQ (NYSE: IONQ). IonQ is a pure-play quantum computing company, which means that it has no choice but to have success in the quantum computing realm or it will go bankrupt.
IonQ has several key partnerships in the research world, including the U.S. Air Force Research Lab, a facility renowned for investigating cutting-edge technologies. The Lab is also interested in how this technology can be deployed, so it keeps IonQ focused on the practicality of quantum computing rather than just theory.
IonQ's approach to quantum computing supports this goal, as it has several key advantages over its competitors. IonQ has chosen the "trapped-ion" approach for quantum computing. Most quantum computing companies are choosing the superconducting approach, regardless of whether they're a big tech competitor or a quantum computing start-up. Should the trapped-ion approach become the best option, IonQ will have a significant head start on the competition, as there are relatively few companies that have picked this approach.
The biggest advantage the trapped-ion approach has over superconducting is the temperature at which quantum computing is performed. Superconducting requires cooling the particle to near absolute zero, a very expensive process. The trapped-ion approach can be done at room temperature, which eliminates that cost completely. This could allow IonQ's quantum computing approach to achieve commercial viability faster than other options, making it an excellent pick in this space.