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University of Chicago Just Found a Shortcut Quantum Computers Needed for Years

University of Chicago researchers may have found the shortcut quantum computers have needed for decades.

In this video, we break down a major quantum computing breakthrough involving QLDPC error correction codes, reconfigurable atom arrays, and movable neutral atoms controlled by laser light. This new approach could reduce the number of physical qubits needed for practical fault-tolerant quantum computing by a factor of ten to twenty.

That matters because quantum computers have always faced one massive problem: qubits are extremely fragile. Traditional surface-code error correction can require thousands of physical qubits just to protect one reliable logical qubit, pushing useful quantum computers decades into the future. But this new blueprint could bring the requirement down from millions of qubits to tens of thousands.

We also explain why this discovery could affect medicine, drug discovery, encryption, post-quantum cybersecurity, climate technology, materials science, artificial intelligence, and the global race to build real quantum machines.

This is not a finished quantum computer yet. It is a credible engineering roadmap through one of the biggest bottlenecks in the field. But it may move practical quantum computing much closer than experts expected.

Watch the full video to understand why this University of Chicago breakthrough could change the quantum timeline.

AI can be an ally in rooting out ransomware threats

AI can be used to prevent cybersecurity threats linked to ransomware, says University of Cincinnati researcher Nelly Elsayed.

“We are in a hype era of AI,” says Elsayed, associate professor in the UC School of Information Technology. “Some people support it, others fear it, but in general people who design technology are trying to use it for good.”

Elsayed, founder and leader of the Applied Machine Learning and Intelligence Lab at UC, recently published research in the Journal of Information Security and Applications, arguing that generative AI may be an ally in strengthening ransomware defense.

Quantum computing could transform everyday life

Quantum computing could transform medicine, cybersecurity, clean energy and countless other industries, with Ottawa playing a leading role in the technology’s development.
CTV’s Austin Lee reports that researchers at the University of Ottawa and local cybersecurity companies are helping prepare for the quantum era.
Experts say quantum computers will solve complex problems dramatically faster than today’s computers but could also threaten current encryption methods.
Ottawa-based companies are already developing quantum-safe cybersecurity technologies to protect future digital infrastructure.

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Harvard Says Quantum Computers Are A Decade Ahead Of Schedule

🚀 *Harvard says quantum computers are a decade ahead of schedule—and the evidence is arriving faster than anyone expected.* ⚛️

QuEra’s new roadmap, its partnership with Amazon Braket, and Harvard’s latest breakthroughs are reshaping the future of quantum computing. In this video, we break down why leading researchers now believe fault-tolerant quantum computers could arrive years earlier than predicted, what QuEra’s Libra system means, and how cloud-accessible quantum computing could transform industries like drug discovery, materials science, artificial intelligence, cybersecurity, and finance.

You’ll discover:
🔹 Why Harvard says the quantum timeline has accelerated by nearly a decade.
🔹 What QuEra’s 256 logical-qubit Libra system will actually do.
🔹 Why Amazon is betting on cloud-based fault-tolerant quantum computing by 2028
🔹 The difference between physical qubits and logical qubits.
🔹 How quantum error correction changed everything.
🔹 Why neutral-atom quantum computers are challenging IBM and Google.
🔹 The commercial race between QuEra, IBM, Microsoft, Quantinuum, and other quantum leaders.
🔹 What these breakthroughs mean for the future of encryption, AI, scientific research, and national security.

If you’re interested in quantum computing, emerging technologies, artificial intelligence, geopolitics, and the future of science, this channel brings you deeply researched, easy-to-understand explanations of the world’s biggest technological breakthroughs.

👍 If you enjoyed the video, don’t forget to *Like**, **Subscribe**, and **Turn On Notifications* so you never miss our latest updates on quantum technology and the future of computing.

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Some patient groups are far more vulnerable to near-perfect privacy attacks from medical AI

From detecting pneumonia on a chest X-ray to assessing whether a dark spot on the skin is benign or malignant, medical AI systems are playing an increasingly important role in clinical diagnosis. Unfortunately, the models used to train these AI systems are often victims of cyberattacks, specifically membership inference attacks (MIAs), which can lead to people’s personal information being stolen or revealed.

In a recent study, researchers conducted a first-ever patient-level privacy audit to see how easily individual patients could be identified from the underlying data used to train medical AI models.

At first glance, an AI model may appear to protect everyone’s privacy equally well, but a closer look reveals a different story. Researchers found that attackers can identify certain individual patients with near-perfect accuracy, exposing a hidden unfairness in privacy.

Miasma Malware Targets npm Packages and GitHub Actions in Supply Chain Attack

Cybersecurity researchers have flagged yet another evolution of the supply chain attack linked to the Mini Shai-Hulud, Miasma, and Hades malware family that has compromised a new set of npm packages, even as it has propagated to the Go ecosystem.

“The latest activity includes malicious npm releases affecting LeoPlatform and RStreams packages, GitHub Actions workflow abuse, and a related Go module compromise involving the Verana Blockchain project,” Socket said.

The end goal of the campaign, as before, is to harvest developer or maintainer credentials and weaponize the stolen data to spread across package registries, repositories, and trusted developer workflows.

New macOS malware embeds fake errors to confuse AI analysis tools

A newly discovered macOS malware dubbed “Gaslight” is designed to confuse AI-assisted malware analysis tools by hiding prompt injection strings and fake debugging data within the executable.

Cybersecurity researchers are increasingly using AI-powered tools to assist with malware analysis and reverse engineering.

The malware contains strings that attempt to gaslight AI-assisted analysis tools into believing there is an analysis error or other issue, potentially causing the tools to abort, truncate, or otherwise interfere with the analysis.

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