Quantum computer: Tech giants fight for the breakthrough by 2030!

Quantum computer: Tech giants fight for the breakthrough by 2030!

Mountain View, Kalifornien, USA - What's new in the world of quantum computing? Quite a lot! US tech giants such as IBM, Google, Amazon and Microsoft are deeper than ever in the development of quantum computer systems that can be scalable from annoying laboratory prototypes to industrial machines. According to Mitrade there is exciting progress in the areas of chip design and error correction.

The efforts are no longer just theory: IBM presented a complete design in June that complemented the lack of engineering data from previous plans. Jay Gambetta from IBM even sees a "clear way" to a machine that could outperform classic computers in areas such as material simulation and AI modeling in front of 2030. At the same time, Google's quantum research team under Julian Kelly has mastered a great technical hurdle and also wants to deliver results until the end of the decade.

challenges and views

But the path is rocky. Amazon made it clear that the industrial phase could still take 15 to 30 years. A crucial jump from less than 200 quables to more than one million is necessary to achieve significant performance. Currently, the scaling is hindered by the instability of the qubits, which limits its useful duration of the state to only fractions of a second.

It becomes particularly exciting when you look at IBMS Condor-Chip, which experiment with 433 qubits. Here there were interference between the components, which prompted IBM to use another coupling to minimize these problems. Conventional systems that used individually coordinated qubits to improve performance do not seem to be practical on a large scale. Therefore, companies are now required to develop more reliable components and cheaper manufacturing processes.

The challenges do not stop here! Complex technical hurdles such as simplification of the cabling or the connection of several chips to modules are still pending. The research of Fraunhofer Institutes shows that quantum computers can not only find solutions for complex problems faster, but also offer enormous potential in areas such as materials science, medication and accounting. The connection of quantum computing with machine learning and artificial intelligence also promises interesting progress, such as the Fraunhofer-institut reports.

The role of error correction

One of the biggest topics remains error correction. Google is the only company that has shown that error correction with a growing system can be improved. IBM follows an alternative approach that requires 90% fewer qubits; However, this method requires long -distance connections between qubits, which are difficult to implement in practice. Analysts like Mark Horvath from Gartner emphasize that IBMS theoretical design still has to be proven in the production phase.

It will also be exciting when looking at alternative technologies. Super -heading qubits show progress, but are difficult to control. In the meantime, Amazon and Microsoft are experimenting with new qubit designs, while the established companies further refine their older technologies.

In order to complete the whole picture, state funding decisions are also not to be neglected: Sebastian Weidt, CEO of Universal Quantum, sees this a potential risk that the competitive landscape will be narrowed to a few players. Darpa has already started a review to find the fastest way to a practical system.

A detailed insight into this exciting world also offers Nature , where experts have a comprehensive say.