The Raman Research Institute, Bengaluru, which is an autonomous institute of the Department of Science and Technology (DST), conducted a photonic experiment to demonstrate a violation of what is called the "quantity" of Leggett Garg Inequalities (LGI) in a system in a loophole-free manner.
The team carried out extensive research in collaboration with researchers from Indian Institute of Science (IISc), Bengaluru, IISER-Thiruvananthapuram and Bose Institute, Kolkata, to utilize such LGI violation in a completely unexplored domain, safe from tampering and imperfections. Of the device.
These numbers are crucial in applications such as cryptographic key generation, secure password creation and digital signatures, among others.
With more engineering interventions and innovations, devices adopting this method could find powerful applications not only in cybersecurity and data encryption, but also in various areas such as economic surveys and drug design/testing.
"We have successfully generated random numbers using temporal correlations certified by the violation of the Leggett Garg inequality (LGI)," said Professor Urbasi Sinha, professor at the QuIC laboratory at Raman Research Institute and corresponding author of the paper published in Physical Review Letters.
"Our experimental setup ensures gapless LGI violation, which provides the additional advantage of generating gapless randomness," Professor Sinha added.
According to the researchers, this new method offers the enhanced protection "that we all need in our daily lives, by using truly random numbers to generate keys that will be used to encrypt passwords."
There are several advantages to generating certified random numbers using this method.
"These include the creation of strongly protected passwords, improved account security by resisting brute force attacks, ensuring uniqueness and integrity, thereby preventing forgery, and token generation with multi-factor authentication, adding a crucial security layer in this vulnerable cyber world," explained Dr. Debashis Saha, faculty at IISER Thiruvananthapuram and co-author of the study.
The experiment generated more than 900,000 random bits at a fast speed of almost 4,000 bits/second.
The team carried out extensive research in collaboration with researchers from Indian Institute of Science (IISc), Bengaluru, IISER-Thiruvananthapuram and Bose Institute, Kolkata, to utilize such LGI violation in a completely unexplored domain, safe from tampering and imperfections. Of the device.
These numbers are crucial in applications such as cryptographic key generation, secure password creation and digital signatures, among others.
With more engineering interventions and innovations, devices adopting this method could find powerful applications not only in cybersecurity and data encryption, but also in various areas such as economic surveys and drug design/testing.
"We have successfully generated random numbers using temporal correlations certified by the violation of the Leggett Garg inequality (LGI)," said Professor Urbasi Sinha, professor at the QuIC laboratory at Raman Research Institute and corresponding author of the paper published in Physical Review Letters.
"Our experimental setup ensures gapless LGI violation, which provides the additional advantage of generating gapless randomness," Professor Sinha added.
According to the researchers, this new method offers the enhanced protection "that we all need in our daily lives, by using truly random numbers to generate keys that will be used to encrypt passwords."
There are several advantages to generating certified random numbers using this method.
"These include the creation of strongly protected passwords, improved account security by resisting brute force attacks, ensuring uniqueness and integrity, thereby preventing forgery, and token generation with multi-factor authentication, adding a crucial security layer in this vulnerable cyber world," explained Dr. Debashis Saha, faculty at IISER Thiruvananthapuram and co-author of the study.
The experiment generated more than 900,000 random bits at a fast speed of almost 4,000 bits/second.
