QNu Labs

Tropos - Quantum Random Number Generator

Root of trust giving the perfect random numbers

QNu 's Tropos does not rely on mathematical algorithms; it generates random numbers
from a quantum source, making it suitable for all applications.

Tropos - Quantum Random Number Generator

Root of trust giving the perfect random numbers

QNu 's Tropos does not rely on mathematical algorithms; it generates random numbers from a quantum source, making it suitable for all applications.

What is Tropos - Quantum Random Number Generator?

Traditional random number generators like PRNG and TRNG use predictable inputs which are deterministic. These inputs have higher probability of repeating which creates predictability. Hence, making the entire system vulnerable.

Tropos - quantum random number generator (QRNG) uses the principles of quantum mechanics to generate truly random numbers. By fact, quantum physics is fundamentally random in nature and is confirmed by theory and experimental research.

Quantum Random Number Generator is a highly-sophisticated engineering innovation which involves the power of complex deep-tech technologies (such as semiconductors, optoelectronics, high precision electronics and quantum physics) working together to create the highest level of randomness possible.

What is Tropos - Quantum Random Number Generator?

Traditional random number generators like PRNG and TRNG use predictable inputs which are deterministic. These inputs have higher probability of repeating which creates predictability. Hence, making the entire system vulnerable.

Tropos - quantum random number generator (QRNG) uses the principles of quantum mechanics to generate truly random numbers. By fact, quantum physics is fundamentally random in nature and is confirmed by theory and experimental research.

Quantum Random Number Generator is a highly-sophisticated engineering innovation which involves the power of complex deep-tech technologies (such as semiconductors, optoelectronics, high precision electronics and quantum physics) working together to create the highest level of randomness possible.

Proof of Concept (POC) on how QRNGs are Truly Random and
their outcomes are 100% unpredictable

Proof of Concept (POC) on how QRNGs are Truly Random and
their outcomes are 100% unpredictable

Ideal random key generator for high throughput applications

Today's applications require a high rate of keys and randomness to ensure complete security. It could be key vaults, gaming, IOT devices, AI/ML, block chains, simulations, in addition to critical infrastructure.

Tropos QRNG forms the source of these applications where the trust on randomness is paramount. With true entropy and high rate of generation, it fulfils today’s need for a perfect source.

Key Takeaways

qrng-keytakeaways

Ideal random key generator for high throughput applications

Today's applications require a high rate of keys and randomness to ensure complete security. It could be key vaults, gaming, IOT devices, AI/ML, block chains, simulations, in addition to critical infrastructure.

Tropos QRNG forms the source of these applications where the trust on randomness is paramount. With true entropy and high rate of generation, it fulfils today’s need for a perfect source.

Key Takeaways

How Tropos - Quantum Random Number Generator Works?

A laser-based quantum source generates the randomness in Tropos - quantum random number generator. To elaborate on the process, a laser produces a stream of the elementary particle, photon. The photons generated from the laser are used to generate the random numbers.

To elaborate on the process, a laser produces a stream of the elementary particle, photon. The photons generated from the laser are used to generate the random numbers. These photons unlike classical objects are unpredictable under certain situations. When incident on a semi-transparent mirror, the photon has a 50/50 chance of being reflected or transmitted.

Thus the photon is in a superposition of both states (reflected and transmitted), i.e. the photon exists in both states simultaneously. Upon measurement, it collapses to one of these states, which is intrinsically random and there is no way to predict which state the photon will collapse to. The photons' inherent randomness cannot be influenced by any external parameters. The diagram below illustrates this.

The following diagram depicts the process from photon generation to random number output. The process starts with the generation of light from a laser source, which is converted into single-photon level using attenuators. The photons are then sent onto a semi-transparent mirror for the superposition phenomenon and are detected using SPD (Single Photon Detector). They are then converted into bits of 1’s and 0’s, depending on the clicks generated on the SPD. Then there is post-processing in FPGAs to do the conditioning, statistical checks and then deliver the random numbers to the outside world.

The test suits check the randomness of the bits. Only if the conditions are met, they are forwarded to the applications or users requesting the random numbers.

RESTful interface is the typical API used for the transfer of random numbers from Tropos to external applications or end users.

How Tropos - Quantum Random Number Generator Works?

A laser-based quantum source generates the randomness in Tropos - quantum random number generator. To elaborate on the process, a laser produces a stream of the elementary particle, photon. The photons generated from the laser are used to generate the random numbers.

To elaborate on the process, a laser produces a stream of the elementary particle, photon. The photons generated from the laser are used to generate the random numbers. These photons unlike classical objects are unpredictable under certain situations. When incident on a semi-transparent mirror, the photon has a 50/50 chance of being reflected or transmitted.

Thus the photon is in a superposition of both states (reflected and transmitted), i.e. the photon exists in both states simultaneously. Upon measurement, it collapses to one of these states, which is intrinsically random and there is no way to predict which state the photon will collapse to. The photons' inherent randomness cannot be influenced by any external parameters. The diagram below illustrates this.

The following diagram depicts the process from photon generation to random number output. The process starts with the generation of light from a laser source, which is converted into single-photon level using attenuators. The photons are then sent onto a semi-transparent mirror for the superposition phenomenon and are detected using SPD (Single Photon Detector). They are then converted into bits of 1’s and 0’s, depending on the clicks generated on the SPD. Then there is post-processing in FPGAs to do the conditioning, statistical checks and then deliver the random numbers to the outside world.

The test suits check the randomness of the bits. Only if the conditions are met, they are forwarded to the applications or users requesting the random numbers.

RESTful interface is the typical API used for the transfer of random numbers from Tropos to external applications or end users.

Applications of Tropos (QRNG) in Industries

qrng-applications

Any organisation or business that needs to secure its sensitive data should use Tropos (QRNG)

Applications of Tropos (QRNG) in Industries

Any organisation or business that needs to secure its sensitive data should use Tropos (QRNG)

Why would you need Tropos - Quantum Random Number Generator?

True Random numbers play an important role in data security to provide robust encryption. QRNG from QNu labs addresses different data rates and standard interfaces to cater to multiple applications.

Random numbers are used as seed in cryptosystems to generate keys. The strength of these keys depends on randomness of the input seed.

Pseudo Random Number Generator (PRNG) is a typical software-based algorithm that generates data from a seed number and converts that into random values.

By using hardware inputs, True Random Number Generators create random values. TRNG inputs include avalanche noise, thermal noise, and atmospheric noise.

PRNG and TRNG are vulnerable due to their predictability. Tropos QRNG is the perfect random key generator as it uses intrinsic qualities of quantum physics to generate entropy.

Why would you need Tropos - Quantum Random Number Generator?

True Random numbers play an important role in data security to provide robust encryption. QRNG from QNu labs addresses different data rates and standard interfaces to cater to multiple applications.

Random numbers are used as seed in cryptosystems to generate keys. The strength of these keys depends on randomness of the input seed.

Pseudo Random Number Generator (PRNG) is a typical software-based algorithm that generates data from a seed number and converts that into random values.

By using hardware inputs, True Random Number Generators create random values. TRNG inputs include avalanche noise, thermal noise, and atmospheric noise.

PRNG and TRNG are vulnerable due to their predictability. Tropos QRNG is the perfect random key generator as it uses intrinsic qualities of quantum physics to generate entropy.