Revolutionary Quantum Funds Stored on Ultra-Cold ‘Debit Card’

Quantum Debit Card Ensures Financial Security

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New quantum debit cards, which can hold unforgeable quantum funds, are constructed using extremely cooled atoms and light particles.

While standard banks often rely on the skill of counterfeiters to detect fake banknotes, quantum banks utilize the no-cloning theorem from physics, rendering counterfeiting impossible. This principle, which states that creating identical copies of quantum information is not feasible, led physicist Stephen Wiessner to propose a protocol in 1983 for generating secure currencies. Julian Laurat and his team at the Kastler Brossel Laboratory in France are actively implementing this groundbreaking concept in advanced experiments.

According to this protocol, banks create banknotes composed of quantum particles, possessing unique properties and existing in specific quantum states, thus ensuring protection against forgery through the no-cloning theorem. Laurat remarks that the protocol showcases an impressive feat of quantum cryptography, though it has not yet been put into practice for actual quantum fund storage.

The research team has made storage feasible by combining memory devices with hard drives. In their experiments, users interact with quantum systems that act as banks by exchanging photons. Each photon can be stored similarly to loading money onto a debit card.

The memory devices used by the team consist of hundreds of millions of cesium atoms, which researchers cool down to nearly absolute zero by bombarding them with lasers. At such extreme temperatures, light can precisely manipulate the quantum state of atoms, but Laurat notes that years were spent identifying the optimal cooling needed for atomic memory to serve as a quantum debit card. Through extensive testing, he and his colleagues demonstrated that users can retrieve photons from atoms without corrupting their states, as long as the process is not tampered with.

Christophe Simon from the University of Calgary emphasizes that the new experiment marks progress toward fully realizing quantum funding. However, the current quantum memory storage time of around six million seconds remains insufficient for practical application. “Another future step is to enhance portability. The long-term goal is to develop quantum memory that can be easily carried, particularly for Quantum Money applications. But we are not there yet,” he states.

The team is focused on extending storage durations, asserting that the protocol can be employed within quantum networks already being established in metropolitan areas across the globe. Additionally, cutting-edge quantum memory not only facilitates ultra-secure long-distance quantum communication but is also instrumental in connecting various quantum computers to more powerful systems.

Topics:

  • Quantum Computing/
  • Encryption

Source: www.newscientist.com

AI can rapidly decode digital data stored in DNA in a matter of minutes instead of days

DNA can store digital data such as visual and audio files

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Artificial intelligence can read data stored in DNA strands within 10 minutes, not the day required for previous methods, and DNA storage approaches practical use of computing.

“DNA stores huge amounts of data in a very compact form and remains intact for thousands of years.” Daniella Bar-Lev At the University of California, San Diego. “In addition, DNA is naturally replicable and offers a unique advantage for long-term data storage.”

However, getting encoded information within DNA is a monumental challenge as the strands become confused when mixed and stored. During the data encoding process, individual strands may be replicated incompletely, and some fragments may be lost completely. As a result, data readings stored in DNA are similar to reconstructing books from boxes filled with pages that go beyond the finest, varied.

“The traditional methods suffer from this confusion and require several days of processing,” says Bar-Lev. The new approach “rationalizes this with AI trained to find patterns of noise,” she says.

Bar-Lev and her colleagues developed an AI-driven method called DNAFormer. The system includes a deep learning AI model trained to reconstruct DNA sequences, another computer algorithm to identify and correct errors, and a third decoding that brings everything back to digital data while correcting any remaining mistakes. Includes algorithms.

In experiments, DNAFormer can read 100 megabytes of DNA storage data 90 times faster than the next fastest method developed with traditional rules-based computing algorithms, while achieving better or equivalent accuracy. I did. The decoded data included colored images of the test tube, a 24-second audio clip from astronaut Neil Armstrong's famous Moonlanding speech, and text on why DNA is a promising data storage medium .

The team says they plan to develop a version of DNAFormer tailored to new technologies for encoding data into DNA. Omar Savery Technion – Israel Institute of Technology.

“Crucially, our approach doesn't rely specifically on us. [DNA] Synthesis or sequencing methods can be adapted to future, still undeveloped technologies that are more commercially viable,” he says.

topic:

Source: www.newscientist.com