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Category: encryption

A team of researchers at AI Google Quantum AI, led by Craig Gidney, has outlined advances in quantum computer algorithms and error correction methods that could allow such computers to crack Rivest–Shamir–Adleman (RSA) encryption keys with far fewer resources than previously thought. The development, the team notes, suggests encryption experts need to begin work toward developing next-generation encryption techniques. The paper is published on the arXiv preprint server.

RSA is an encryption technique developed in the late 1970s that involves generating public and private keys; the former is used for encryption and the latter decryption. Current standards call for using a 2,048-bit encryption key. Over the past several years, research has suggested that quantum computers would one day be able to crack RSA encryption, but because quantum development has been slow, researchers believed that it would be many years before it came to pass.

Some in the field have accepted a theory that a quantum computer capable of cracking such codes in a reasonable amount of time would have to have at least 20 million qubits. In this new work, the team at Google suggests it could theoretically be done with as few as a million qubits—and it could be done in a week.

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To guarantee high data security, encryption must be unbreakable while the data remains rapidly and easily readable. A novel strategy for optical encryption/decryption of information has now been introduced in the journal Angewandte Chemie by a Chinese research team. It is based on compounds with carefully modulated luminescent properties that change in response to external stimuli.

The compounds are hybrid two-dimensional organic-inorganic metal-halide perovskites, whose structure consists of inorganic layers formed from lead and iodide ions (linked PbI6 octahedra) with organic cations arranged between them. They are easy to produce, inexpensive, and printable, while demonstrating interesting optoelectronic properties.

A team led by Shenlong Jiang, Qun Zhang, and Yi Luo at the University of Science and Technology of China (Hefei) worked with three perovskites with only slight variations in their cations (phenethylammonium lead iodide (PEA)2PbI4 and its fluoridated (2-F-PEA)2PbI4 and brominated (4-Br-PEA)2PbI4 derivatives).

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Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where the primary developer of the method, mathematician Stanisław Ulam, was inspired by his uncle’s gambling habits.

Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution. They can also be used to model phenomena with significant uncertainty in inputs, such as calculating the risk of a nuclear power plant failure. Monte Carlo methods are often implemented using computer simulations, and they can provide approximate solutions to problems that are otherwise intractable or too complex to analyze mathematically.

Monte Carlo methods are widely used in various fields of science, engineering, and mathematics, such as physics, chemistry, biology, statistics, artificial intelligence, finance, and cryptography. They have also been applied to social sciences, such as sociology, psychology, and political science. Monte Carlo methods have been recognized as one of the most important and influential ideas of the 20th century, and they have enabled many scientific and technological breakthroughs.

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Neuroscientists and materials scientists have created contact lenses that enable infrared vision in both humans and mice by converting infrared light into visible light. Unlike infrared night vision goggles, the contact lenses, described in the journal Cell, do not require a power source—and they enable the wearer to perceive multiple infrared wavelengths. Because they’re transparent, users can see both infrared and visible light simultaneously, though infrared vision was enhanced when participants had their eyes closed.

“Our research opens up the potential for noninvasive wearable devices to give people super-vision,” says senior author Tian Xue, a neuroscientist at the University of Science and Technology of China. “There are many potential applications right away for this material. For example, flickering infrared light could be used to transmit information in security, rescue, encryption or anti-counterfeiting settings.”

The contact lens technology uses nanoparticles that absorb infrared light and convert it into wavelengths that are visible to mammalian eyes (e.g., in the 400–700 nm range). The nanoparticles specifically enable the detection of “near-infrared light,” which is infrared light in the 800‑1600 nm range, just beyond what humans can already see.

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Physicists from Oxford have, for the first time, scaled quantum computing using distributed teleportation technology — and this could change everything. From «parallel universes» to Grover’s algorithm, from cryptography to molecular modeling — the world is entering an era where «impossible» problems

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A new study led by researchers from Michigan State University, Yale University and Johns Hopkins University reveals that ransomware attacks—which involve a hacker putting encryption controls into a file and then demanding a ransom to unlock the files—have become the primary driver of health care data breaches in the United States, compromising 285 million patient records over 15 years.

Published May 14 in JAMA Network Open, the study provides the first comprehensive analysis of ransomware’s role in health care breaches across all entities covered by privacy laws—hospitals, physician practices, and data clearinghouses—from 2010 to 2024.

“Ransomware has become the most disruptive force in health care cybersecurity,” said John (Xuefeng) Jiang, Eli Broad Endowed Professor of accounting and in the MSU Broad College of Business and lead author of the study. “Hospitals have been forced to delay care, shut down systems and divert patients—all while sensitive patient data is held hostage.”

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But such measurements are notoriously challenging: the instruments used are themselves governed by , and their interaction with particles can alter the very properties they are meant to observe.

“The field of quantum measurements is still poorly understood because it has received little attention so far. Until now, research has mainly focused on the states of themselves, which feature properties—like entanglement or superposition—that are more directly applicable to areas such as quantum cryptography or ,” explains Alejandro Pozas Kerstjens, Senior Research and Teaching Assistant in the Department of Applied Physics, Physics Section, at the UNIGE Faculty of Science.

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