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Los científicos han desarrollado un laser que puede generar 254 números al azar trillón por segundos

March 8, 2021

An international team of scientists has developed a laser that can generate 254 trillion random numbers per second, more than a hundred times faster than the computer-based Random Number Generator (RNG).

Although random number generation has been existing around for thousands of years, it has become increasingly important in computing because it forms the basis of cryptography. As there are more online devices ever than before, the need to prevent bad people from encrypting is becoming increasingly important. To demonstrate the pervasive need for RNG in modern technology, Google demonstrates the obvious advantages of a 53-qubit quantum computer that uses the RNG problem.

This is why the new system could be a game changer: it can generate 250 terabytes of random bits per second. In fact, it's so fast that the team behind it has trouble recording its output with high-speed cameras. The researchers say their system outperforms a physical random number generator both in speed and in its ability to create many bit streams simultaneously. The results are post in the journal Science.

The new invention uses a tiny laser just one millimeter long that reflects light between mirrors at either end of the hourglass-shaped cavity before leaving the device, according to Science News. Unlike previous laser-based systems, the new process can amplify many optical modes simultaneously.

These laser light interfered with each other to produce rapid intensity fluctuations, which was recorded by the team using a camera. The camera measured the intensity of the light at about one trillionth of a second at 254 points across the beam. But the speed at which the laser outputs data means that the camera can only track the memory for a few nanoseconds before it fills up the internal storage and then the data is uploaded to the computer.

The randomizer system was jointly developed by researchers at Nanyang Technological University (NTU) in Singapore, Yale University and Trinity College Dublin, and manufactured at NTU. For the future of the system, the team aims to put the laser into practical use by integrating it into a compact chip. This will allow the random numbers it generates to be fed directly into the computer.


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