Perfect randomness realised for the first time
Researchers have achieved perfect randomness for the first time through a method called randomness amplification. This technique utilizes quantum measurements and entanglement between qubits to ensure that the generated random numbers are truly random and can be certified as such. The implications of this breakthrough could significantly enhance digital security and applications in encryption and blockchain technology.
- ▪Researchers have developed a method called randomness amplification to extract perfectly random numbers from imperfect randomness.
- ▪The technique involves quantum measurements and entanglement between superconducting qubits.
- ▪This breakthrough could improve digital security for applications like encryption and blockchain technology.
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| Original publisher | ETH Zurich |
| Canonical URL | https://ethz.ch/en/news-and-events/eth-news/news/2026/05/perfect-randomness-realised-for-the-first-time.html |
| Publication time | Wed, 03 Jun 2026 03:18:51 +0000 |
| Retrieval time | 2026-06-03T03:41:54.046Z |
| Last seen | 2026-06-03T03:41:54.046Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
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| Publisher visit | Yes — open original |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
Amplification of randomness through quantum measurements “It may seem strange, but it is almost impossible to create a perfect coin or a perfect die”, says Renner. No matter how symmetric and smooth a die is made, after a roll one of its six faces will always point upwards slightly more often. “Even modern random number generators, which are based on quantum mechanical effects like the reflection of photons from beam splitters, are not entirely immune to such a systematic error or ‘bias’”, adds Wallraff. But now Wallraff’s and Renner’s teams have found a way to take imperfect randomness and still extract perfectly random numbers from it. They call their method randomness amplification.
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