TRUMPF Pumps Millions into Spanish Startup Quside

Posted  by GoPhotonics

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TRUMPF, a high-tech company offering manufacturing solutions in the field of machine tools and laser technology, announces multimillion euro investment in the Spanish startup Quside. Quside's core product is a high-performance random number generator in a photonic chip. Using the quantum mechanical properties of light, it produces completely random number combinations very quickly (Gb/s). This makes it possible to improve the encryption of messages enormously. It can also be used to perform simulations such as risk analyses in the financial sector or weather forecasts much faster and with far greater energy-efficiency. The chip is compatible with common semiconductor manufacturing (CMOS), which enables easy mass production.

Quside is based in Castelldefels near Barcelona and currently employs around 30 people. Founded in 2018, the startup's first customers are from sectors with high security requirements, such as aerospace. The company plans to expand into the consumer market in the coming years, to use chips to increase the security of smartphones, tablets or even vehicles.

The chip can be integrated into common manufacturing processes

Quside's chip enables the encryption of messages that even computationally powerful quantum computers cannot decrypt. Currently, there is already a great demand in industries where security plays a major role. In the coming years, the technology could also play an increasingly important role in private devices. In 2026, the market of random number generators is expected to be between around seven and ten billion euros worldwide, depending on the forecast.

Fast and energy-saving simulations

In addition to encryption, Quside's random number generator also enables a faster and more energy-efficient calculation of simulations. This means, for example, that traffic forecasts can be calculated up to ten times faster. Energy consumption is up to 20 times lower. Such simulations are also used by the insurance industry, the logistics sector and the pharmaceutical industry.

Click here to know more about quantum random number generators.