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Quantis QRNG Chip

The source of full entropy for automotive, computing, critical infrastructure, IoT, mobile & security applications

  • Intrinsically and provably random
  • Instant full entropy from the first bit
  • Robust and controlled: low risk of silent “break”
  • Certified AEC-Q100 & compliant to the Standard NIST 800-90A/B/C

ID Quantique introduces its true Quantum Random Number Generator (QRNG) Chip, which offers the highest attainable security and robustness for the generation of random bits. It is ideal for use in the automotive, computing, critical infrastructure, IoT, mobile and security applications where compact size and resistance to external environmental perturbations are critical.

Based on a technology concept and patent from IDQ, the Quantis QRNG Chip harnesses true quantum randomness from the shot noise of a light source captured by a CMOS image sensor.

The foundation of modern digital security systems lies in the quality of the crypto algorithms and entropy sources used to generate encryption keys or authentication certificates. Unfortunately, many keys today are currently generated by Pseudo Random Number Generators (PRNGs) software that are deterministic and thus predictable. The only way to produce true and unpredictable randomness is to use True Random Number Generators based on physical processes. But classical TRNGs depend on chaotic processes which are difficult to model or prove, and thus vulnerable to silent breaks.

Only Quantum RNGs are intrinsically random, provably secure and future proof. Quantum physics is probabilistic on a fundamental level, which means that they can produce unpredictable outcomes in a robust, transparent and well controlled way. Since the entropy source is described with fundamental models, all properties of the entropy source are understood and the security can be proven. Additionally the Quantis QRNG Chip provides full entropy instantaneously from the very first bit.

Securing our connected world

Nowadays, in various areas such as IoT, smart devices, V2X and so on, computing devices have been getting smaller and smaller and connected to each other. On the other hand, the security threats have never been stronger. A network is as strong as its weakest link, meaning that only one flaw in a small device can disrupt the entire network, putting all devices at risk. Protecting these kinds of devices is a challenge and is of critical importance, as security means public safety.

However, there are specific challenges in small devices, where high entropy is hard to achieve due to hardware limitations. With Quantis QRNG chip, IDQ solve four specific requirements that are critical to manufacturers: size, power consumption cost and reliability. Thanks to its standard interfaces, Quantis QRNG chip can be easily embedded in a wide variety of IoT products, autonomous vehicles, drones and smart devices.

Quantis QRNG core technology

QRNG core technology
At its core, the QRNG chip contains a light-emitting diode (LED) and an image sensor. Due to quantum noise, the LED emits a random number of photons, which are captured and counted by the image sensor’s pixels, giving a series of raw random numbers that can be accessed directly by the user applications. These numbers are also fed to a random bit Generator algorithm (RGB) which distills further the entropy of quantum origin to produce random bits in compliancy to NIST 800-90A/B/C standard.

The Quantis QRNG Chip allows live status verification: if a failure is detected in the physical process, the random bit stream is immediately disabled, the user is notified, and an automatic recovery procedure is performed to produce QRNG data again.

  • Automotive (V2X, CAN, Infotainment, etc)
  • Any cryptographic algorithms and protocols (IPSEC, TLS, SSH, etc)
  • Smart Networks (IoT, SmartGrid, SmartCity, SmartHome, etc)
  • Computing Device (mobile phones, laptops, tablets, servers, etc)
  • Financial transactions / Blockchain / Point of Sale (POS) terminals
  • Artificial Intelligence (Machine and Deep Learning)
  • Scientific Modeling & Simulations
  • Gaming applications
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