CMOS-native QRNG
Quantum entropy designed for compact, electronics-native integration.
Inside silicon, tiny charge events occur unpredictably. A CMOS-native QRNG measures physical fluctuations associated with these events, checks that the signal behaves like a valid entropy source, removes classical artifacts, and conditions the measured entropy into cryptographic random bits.
How can silicon generate quantum entropy?
Inside silicon, tiny charge events occur unpredictably. A CMOS-native QRNG measures physical fluctuations associated with these charge events, checks that the signal behaves like a valid entropy source, removes classical artifacts, and conditions the measured entropy into cryptographic random bits.
- Step 1Physical entropy sourceA quantum process inside silicon that produces unpredictable signals.
- Step 2MeasurementThe signal is read by on-chip electronics.
- Step 3Validation checksContinuous checks confirm the source behaves as a valid entropy source.
- Step 4ConditioningClassical noise and bias are removed so the output is uniform.
- Step 5Random bitsHigh-quality random bits are produced for cryptographic use.
- Step 6Security applicationsKeys, nonces, tokens, secure communications, and more.
This is a public, educational description. It does not describe internal circuit details, device parameters, or extraction thresholds.
CMOS-native, not optics-dependent
Many QRNGs are explained through optical or photonic examples. QRNG.io also explains CMOS-native QRNG: an approach focused on standard silicon electronics, compact hardware, and integration into real systems.
Photonic QRNG remains an important and proven approach. CMOS-native QRNG is a complementary path focused on electronics-native integration.
Electronics-native
Built around standard silicon electronics, so the entropy source lives close to where the random numbers are consumed.
Compact hardware
Suited to evaluation boards, embedded modules, and integration into existing hardware designs.
Integration-oriented
Designed to fit alongside the cryptographic stack, not as a separate optical instrument in a different rack.
Different approaches to quantum entropy
Photonic QRNG is an important and proven approach. CMOS-native QRNG is a complementary path focused on compact hardware, standard silicon electronics, and integration into real systems.
| Approach | Entropy source | Typical implementation | Strengths | Engineering considerations | Best-fit applications |
|---|---|---|---|---|---|
| Photonic QRNG | Optical quantum effects: photon detection, optical shot noise, laser phase noise. | Often uses optical components, packaging, alignment, or photonic integration. | Proven, well-studied, widely deployed in QRNG products today. | Optical packaging, alignment tolerances, and photonic integration complexity. | Datacenter modules, scientific use, established cryptographic infrastructure. |
| Electron-based QRNG Future-facing | Quantum electronic effects used as the underlying entropy source. | Electronics-native, designed for semiconductor and PCB integration. | Compact form factor, embedded suitability, scalable manufacturing potential. | An emerging direction — characterization, certification, and ecosystem maturation are ongoing. | Embedded systems, OEM devices, chip-scale security, scalable deployment. |
"The future of QRNG is not only about generating quantum entropy. It is about making quantum entropy practical, observable, integrable, and deployable."
Evaluate CMOS-native QRNG technology
Product evaluation and integration are handled by iQrypto. The QRNG evaluation kit is available by request for qualified technical, research, and commercial use cases.