Enhance Your Chip Security with Quantum Randomness
The transition to quantum-safe cybersecurityThe advent in recent times of new and powerful technologies as Artificial Intellicenge (AI) or Quantum Computing opened a new world of possibilities. Unfortunatelly these same capabilities can be used by adversarial actors to break several of the criptography means we use to protect our communications and data.
To protect us against these threats several technologies have been proposed and developed. Institutions and goverments arroungd the globe are seting dates to impulse society and companies the transition to these new technologies, the transition to the quantum-safe cybersecurity. For all of them, strong randomness is needed to ensure the protection
The advent in recent times of new and powerful technologies as Artificial Intellicenge (AI) or Quantum Computing opened a new world of possibilities. Unfortunatelly these same capabilities can be used by adversarial actors to break several of the criptography means we use to protect our communications and data.
To protect us against these threats several technologies have been proposed and developed. Institutions and goverments arroungd the globe are seting dates to impulse society and companies the transition to these new technologies, the transition to the quantum-safe cybersecurity. For all of them, strong randomness is needed to ensure the protection
The Cost of Bad RandomnessNo hardware randomness, no security. If a device or system can’t rely on genuine, physics-based randomness – whether it’s thermal noise, quantum phenomena, or another high-entropy source – then every cryptographic key, nonce, or secret token becomes guessable to a determined adversary.
Yet, even with hardware RNGs, no solution properly checks quality at speed and scale. In modern networks and data centers, as well as on billions of consumer devices, random numbers are needed constantly and in massive quantities. Ensuring the output is always unbiased, free of correlations, and strong enough for cryptographic use remains a major challenge.
And while hardware RNGs promise truly unpredictable bits, Quside offers real-time entropy monitoring and observability to verify randomness quality at scale. By bridging this critical gap, organizations can ensure continuous, high-grade randomness—and with it, robust cryptographic security—no matter how advanced their encryption algorithms might be.
No hardware randomness, no security. If a device or system can’t rely on genuine, physics-based randomness – whether it’s thermal noise, quantum phenomena, or another high-entropy source – then every cryptographic key, nonce, or secret token becomes guessable to a determined adversary.
Yet, even with hardware RNGs, no solution properly checks quality at speed and scale. In modern networks and data centers, as well as on billions of consumer devices, random numbers are needed constantly and in massive quantities. Ensuring the output is always unbiased, free of correlations, and strong enough for cryptographic use remains a major challenge.
And while hardware RNGs promise truly unpredictable bits, Quside offers real-time entropy monitoring and observability to verify randomness quality at scale. By bridging this critical gap, organizations can ensure continuous, high-grade randomness—and with it, robust cryptographic security—no matter how advanced their encryption algorithms might be.
Benefits of embedding Quside's quantum entropy in your hardware
Stronger Security & Trust with Runtime Entropy Verification (Enabled by Quantum)
Quside’s quantum-powered entropy technology continuously verifies the quality of randomness at runtime, ensuring cryptographic operations remain secure and reliable. By detecting anomalies or deviations in entropy generation, it strengthens security monitoring and prevents weak key generation, enhancing overall system trust and resilience against sophisticated cyber threats.
Reduced Software Dependence with Faster Hardware Performance
By embedding high-speed entropy generation directly into hardware, Quside minimizes reliance on software-based random number generation, which can be vulnerable to attacks or performance bottlenecks. This hardware-first approach not only accelerates cryptographic processes but also ensures consistent, high-quality entropy for long-term security, even in resource-constrained environments.
Simpler Design Verification with Silicon-Independent Entropy Design
Quside’s entropy technology operates independently of specific silicon architectures, simplifying integration across different hardware platforms. This flexibility streamlines design verification and reduces engineering complexity, allowing manufacturers to implement robust cryptographic security without being tied to a particular chip or semiconductor vendor.
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Quantum Entropy Sources for All Use CasesRuby N1Ruby S1 
Ruby N1, the High-Performance Solution
- Quantum-Grade Randomness: Delivers true, physics-based entropy (Gain switching /Phase) for unpredictable, secure keys.
- High Throughput: Provides rapid random number generation at Gb/s, ideal for high-speed applications.
- Compact & Energy-Efficient: Optimized for seamless integration into SoCs with low power consumption.
- Real-Time Quality Monitoring: Features built-in observability to continuously verify entropy quality.
- SP800-90B Compliant: Meets rigorous cryptographic NIST standards for robust security.
Ruby S1, the High-Volume Solution
- Quantum-Grade Randomness: Delivers true, physics-based entropy (Gain switching / Polarization) for unpredictable, secure keys.
- Ready to Scale: Partnered with high-volume manufacturers and fully prepared for seamless integration into your products at scale.
- Optimized for Embedded Systems: Designed for resource-constrained environments, at a modest 50 Mb/s, without sacrificing entropy quality.
- Real-Time Entropy Observability: Features continuous monitoring to ensure consistent, high-quality random output.
- Compact & Efficient: Provides high-security performance in a small, power-optimized package ideal for modern chip designs.
Ruby N1, the High-Performance Solution
- Quantum-Grade Randomness: Delivers true, physics-based entropy (Gain switching /Phase) for unpredictable, secure keys.
- High Throughput: Provides rapid random number generation at Gb/s, ideal for high-speed applications.
- Compact & Energy-Efficient: Optimized for seamless integration into SoCs with low power consumption.
- Real-Time Quality Monitoring: Features built-in observability to continuously verify entropy quality.
- SP800-90B Compliant: Meets rigorous cryptographic NIST standards for robust security.
Ruby S1, the High-Volume Solution
- Quantum-Grade Randomness: Delivers true, physics-based entropy (Gain switching / Polarization) for unpredictable, secure keys.
- Ready to Scale: Partnered with high-volume manufacturers and fully prepared for seamless integration into your products at scale.
- Optimized for Embedded Systems: Designed for resource-constrained environments, at a modest 50 Mb/s, without sacrificing entropy quality.
- Real-Time Entropy Observability: Features continuous monitoring to ensure consistent, high-quality random output.
- Compact & Efficient: Provides high-security performance in a small, power-optimized package ideal for modern chip designs.
Not All Randomness Is Created EquallyNavigating the Levels of Random Number Generation
Recognizing the significance of this topic, Quside and Deloitte have collaborated to shed light on the evolving landscape of random number generation. In our joint article, «Quantum Random Number Generators—What’s All the Fuss About?» we delve into how quantum technology advancements enhance cybersecurity. This partnership combines Deloitte’s expertise in cyber readiness with Quside’s pioneering work in quantum random number generation to provide comprehensive insights into RNG types, their classifications, and their impact on security.
Learn more!
Navigating the Levels of Random Number Generation
Recognizing the significance of this topic, Quside and Deloitte have collaborated to shed light on the evolving landscape of random number generation. In our joint article, «Quantum Random Number Generators—What’s All the Fuss About?» we delve into how quantum technology advancements enhance cybersecurity. This partnership combines Deloitte’s expertise in cyber readiness with Quside’s pioneering work in quantum random number generation to provide comprehensive insights into RNG types, their classifications, and their impact on security.
Ready to Elevate Your Next Chip Design?Partner with Quside to embed authentic quantum randomness at the core of your products. Contact us today to discuss how our QRNG IP can elevate your device’s security and performance.
Talk To Our Experts
Partner with Quside to embed authentic quantum randomness at the core of your products. Contact us today to discuss how our QRNG IP can elevate your device’s security and performance.
Frequently Asked QuestionsHow does Quside’s QRNG improve chip security?
By providing true quantum randomness, it ensures that every cryptographic key is generated with maximum unpredictability, reducing the risk of attack.
What sets Quside’s QRNG apart from conventional RNG solutions?
Our QRNG taps directly into the unpredictable nature of quantum phenomena. This means you get genuine randomness, unlike traditional pseudo-random generators, ensuring cryptographic keys are significantly more secure against sophisticated attacks.
Can Quside’s QRNG be integrated into existing chip manufacturing workflows without significant changes?
Absolutely. Our solution is designed with seamless, plug-and-play integration in mind, ensuring minimal disruption to your current processes while upgrading your security infrastructure.
How does the QRNG improve the performance and efficiency of cryptographic operations on your chips?
By providing high-entropy, true random numbers and entropy observability our QRNG enables faster and more reliable cryptographic key generation. This not only boosts overall performance but also reduces vulnerabilities inherent in predictable number sequences.
Is Quside’s QRNG solution scalable for various chip sizes and applications?
Yes, our technology is built for scalability. Whether you’re designing mobile chips, satellite systems, or high-performance data center processors, our QRNG chips meet a wide range of performance and security needs. Contact us to see if they’re the right fit for your application.
What support and documentation do you provide for integrating Quside’s QRNG into chip designs?
We offer comprehensive technical documentation, detailed integration guides, and direct support from our expert team. This ensures your engineering team has all the resources needed for a smooth, efficient implementation.
How does Quside’s QRNG improve chip security?
By providing true quantum randomness, it ensures that every cryptographic key is generated with maximum unpredictability, reducing the risk of attack.
What sets Quside’s QRNG apart from conventional RNG solutions?
Our QRNG taps directly into the unpredictable nature of quantum phenomena. This means you get genuine randomness, unlike traditional pseudo-random generators, ensuring cryptographic keys are significantly more secure against sophisticated attacks.
Can Quside’s QRNG be integrated into existing chip manufacturing workflows without significant changes?
Absolutely. Our solution is designed with seamless, plug-and-play integration in mind, ensuring minimal disruption to your current processes while upgrading your security infrastructure.
How does the QRNG improve the performance and efficiency of cryptographic operations on your chips?
By providing high-entropy, true random numbers and entropy observability our QRNG enables faster and more reliable cryptographic key generation. This not only boosts overall performance but also reduces vulnerabilities inherent in predictable number sequences.
Is Quside’s QRNG solution scalable for various chip sizes and applications?
Yes, our technology is built for scalability. Whether you’re designing mobile chips, satellite systems, or high-performance data center processors, our QRNG chips meet a wide range of performance and security needs. Contact us to see if they’re the right fit for your application.
What support and documentation do you provide for integrating Quside’s QRNG into chip designs?
We offer comprehensive technical documentation, detailed integration guides, and direct support from our expert team. This ensures your engineering team has all the resources needed for a smooth, efficient implementation.