aiqbench analysis
NUS researchers have developed a QRNG chip that performs real-time self-calibration using a measurement-device-independent protocol, effectively eliminating reliance on trusted hardware certifications. By verifying detector performance against theoretical predictions during operation, the system halts immediately if deviations occur, providing security guarantees even against attackers possessing quantum computing capabilities. This approach directly addresses a critical vulnerability in current random number generators where hardware integrity was previously assumed rather than proven.
QRNG Chip Self-Tests Hardware Integrity in Real Time

NUS CDE developed a quantum random number generator (QRNG) chip with built-in hardware integrity checks, addressing vulnerabilities in existing.
Published in PRX Quantum on June 5th, researchers at National University of Singapore (NUS) have created a quantum random number generator (QRNG) chip that actively tests its own hardware integrity, a first that moves beyond reliance on manufacturer certifications. Every encryption key and secure transaction relies on unpredictable random numbers, yet until now, all random number generators have required users to trust the underlying hardware would…
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