Is it quantum-resistant? Researchers create ‘uncrackable’ encryption system by pairing AI and holograms produced by laser


- High-power lasers and ethanol create scrambled holograms to encrypt data
- AI was trained to decrypt the data with 90-95% accuracy
- The optical encryption tech won’t hit the market soon as some shortcomings inhibit its practicality
A team of Greek scientists has developed an optical encryption system that could potentially render traditional hacking methods obsolete.
In a research paper published by Optica, the researchers behind the system revealed it combines artificial intelligence (AI) and laser-generated holograms to provide high-level data protection that could be virtually impossible to crack.
Unlike traditional encryption methods, which rely on mathematical algorithms, this optical approach uses the physical properties of light, making it resistant to attacks from even the most advanced computers, including quantum machines.
How it works: scrambling light for security
“From rapidly evolving digital currencies to governance, healthcare, communications and social networks, the demand for robust protection systems to combat digital fraud continues to grow,” said research team leader Stelios Tzortzakis, from the Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas and the University of Crete.
To this end, the team’s optical encryption system relies on the chaotic pattern produced when a high-power laser interacts with a small container of ethanol due to scrambled light beams. This process, enhanced by thermal turbulence within the liquid, ensures that the original information is hidden beyond recognition, making it nearly impossible to decode using conventional methods.
For a way to retrieve the encrypted data, the researchers turned to AI. By training a neural network to recognize and decode the scrambled holograms, they achieved a 90-95% accuracy rate in retrieving the original images.
“We came up with the idea of training neural networks to recognize the incredibly fine details of the scrambled light patterns,” Tzortzakis continued.
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
“By creating billions of complex connections, or synapses, within the neural networks, we were able to reconstruct the original light beam shapes. This meant we had a way to create the decryption key that was specific for each encryption system configuration.”
“The method we developed is highly reliable even in harsh and unpredictable conditions, addressing real-world challenges like tough weather that often limit the performance of free-space optical systems.”
Finally, he said that “[the team’s] new system achieves an exceptional level of encryption by utilizing a neural network to generate the decryption key, which can only be created by the owner of the encryption system.”
The team has tested the system by encoding and decoding thousands of images, including of animals, tools, everyday objects, and handwritten digits. However. the technology isn’t quite ready for commercialization, as the current laser system used in the encryption process is bulky and expensive, thereby limiting its practicality and affordability.
You may also like
High-power lasers and ethanol create scrambled holograms to encrypt data AI was trained to decrypt the data with 90-95% accuracy The optical encryption tech won’t hit the market soon as some shortcomings inhibit its practicality A team of Greek scientists has developed an optical encryption system that could potentially render…
Recent Posts
- FTC Chair praises Justice Thomas as ‘the most important judge of the last 100 years’ for Black History Month
- HP acquires Humane AI assets and the AI pin may suffer a humane death
- HP acquires Humane Ai and gives the AI pin a humane death
- DOGE can keep accessing government data for now, judge rules
- Humane’s AI Pin: all the news about the dead AI-powered wearable
Archives
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- September 2018
- October 2017
- December 2011
- August 2010