While quantum computers are already being used for research in chemistry, material science, and data security, most are still too small to be useful for large-scale applications. A study led by researchers at the University of California, Riverside, now shows how “scalable” quantum architectures—systems made up of many small chips working together as one powerful unit—can be made.
Quantum dots – semiconductor nanostructures that can emit single photons on demand – are considered among the most promising sources for photonic quantum computing.
However, every quantum dot is slightly different and may emit a slightly different color, according to a team at the University of Innsbruck, Austria, which has developed a technique to improve multi-photon state generation. The Innsbruck team states that, “the different forms of quantum dot means that, to produce multi-photon states we cannot use multiple quantum dots.”
Usually, researchers use a single quantum dot and multiplex the emission into different spatial and temporal modes, using a fast electro-optic modulator. But a contemporary technological challenge: faster electro-optic modulators are expensive and often require very customized engineering. To add to that, it may not be very efficient, which introduces unwanted losses in the system.
Nature Publishing: https://www.nature.com/articles/s41534-025-01083-0
Security wise: The team’s work combines years of research in quantum optics, semiconductor physics, and photonic engineering to open the door for next-generation quantum computers andunwanted losses in the system.
Communications. Here’s what you need to know. Securities IO: https://www.securities.io/passive-two-photon-quantum-dots-secure-communication
Researchers have developed QuantumShield-BC, a blockchain framework designed to resist attacks from quantum computers by integrating post-quantum cryptography (PQC) utilising algorithms such as Dilithium and SPHINCS+, quantum key distribution (QKD), and quantum Byzantine fault tolerance (Q-BFT) leveraging quantum random number generation (QRNG) for unbiased leader selection. The framework was tested on a controlled testbed with up to 100 nodes, demonstrating resistance to simulated quantum attacks and achieving fairness through QRNG-based consensus. An ablation study confirmed the contribution of each quantum component to overall security, although the QKD implementation was simulated and scalability to larger networks requires further investigation.
UK’s new defense system can hit tennis-ball-sized objects traveling at Mach 2 speed.
The U.K. has made a significant effort to upgrade its missile defense power. The country is buying six new Land Ceptor air defense missile systems to bolster national security and defence.
Named Sky Sabre, the system delivers higher accuracy at the time of combat. It’a capable of hitting a tennis-ball sized object travelling twice the speed of sound.
The sophisticated system can also simultaneously control the flight of 24 missiles, guiding them each to intercept separate targets at once.
Microsoft has confirmed that the August 2025 security updates are causing severe lag and stuttering issues with NDI streaming software on some Windows 10 and Windows 11 systems.
This comes after widespread reports from users experiencing a wide range of performance problems when using various streaming apps, including OBS (Open Broadcast Software).
“Severe stuttering, lag, and choppy audio/video might occur when using NDI (Network Device Interface) for streaming or transferring audio/video feeds between PCs after installing the August 2025 Windows security update,” the company said in a new Windows release health update.
A new exploit combining two critical, now-patched security flaws in SAP NetWeaver has emerged in the wild, putting organizations at risk of system compromise and data theft.
The exploit in question chains together CVE-2025–31324 and CVE-2025–42999 to bypass authentication and achieve remote code execution, SAP security company Onapsis said.
3D printing is a simple way to create custom tools, replacement pieces and other helpful objects, but it is also being used to create untraceable firearms, such as ghost guns, like the one implicated in the late 2024 killing of UnitedHealthcare CEO Brian Thompson.
Netanel Raviv, assistant professor of computer science & engineering in the McKelvey School of Engineering at Washington University in St. Louis, led a team from the departments of Computer Science & Engineering and Biomedical Engineering that has developed a way to create an embedded fingerprint in 3D-printed parts that would withstand the item being broken, allowing authorities to gain information for forensic investigation, such as the identity of the printer or the person who owns it and the time and place of printing.
The research will be presented at the USENIX Security Symposium Aug. 13–15, 2025, in Seattle. The first authors of the paper are Canran Wang and Jinweng Wang, who earned doctorates in computer science in 2024 and 2025, respectively. The research is published on the arXiv preprint server.
Questions to inspire discussion.
🚗 Q: How will AI6 be used in Tesla vehicles? A: AI6 will be used for FSD inference, with two chips in every car, enabling advanced autonomous driving capabilities.
🤖 Q: What role will AI6 play in Optimus? A: AI6 will enable on-device learning and reinforced learning in Optimus, enhancing its AI capabilities.
🔋 Q: Will AI6 be used in other Tesla products? A: AI6 will be integrated into every edge device produced by Tesla, including Tesla Semi, Mega Pack, and security cameras.
Technical Specifications.
💻 Q: What is the architecture of AI6? A: AI6 will use a cluster model of individual chips with a software layer on top, similar to Dojo 3 for training.
Millions of people chat with AI tools every day, trading small talk for quick answers or support. A new study presented at the 34th USENIX Security Symposium shows how easily those friendly agents can be tuned to make you reveal far more than you planned.
The researchers report that malicious chatbots can push users to disclose up to 12.5 times more personal details than standard ones. The most effective tricks leaned on reciprocity and reassurance, not blunt questions about your life.
New research shows manipulative AI chatbots can make you reveal much more personal information than neutral ones.
Quantum technologies have had a meteoric rise and become a key area of prioritization for governments, academics, and businesses. Government funding commitments total almost $40 billion, while private investments since 2021 total nearly $8 billion. The US agency, National Institute of Standards and Technology, released this year three new post-quantum security standards, which governments classify as ‘critical resources’ for the economy and national defense. Meanwhile, users of quantum technologies experiment with them, from industry applications in drug development and materials science to energy grid optimization and logistics efficiency.
Yet, besides a few areas, such as quantum sensing, practical and impactful quantum technologies haven’t matured for widespread use. However, when combined with classical machine learning, practical use cases emerge.
This article delves into the impact and potential of artificial intelligence and quantum technologies with QAI Ventures, a financial partner and ecosystem builder in quantum technologies and AI, as a potential collaborator for startups to deliver investment, resources, global networks, and tailored accelerator and incubator programs.
This article covers AI and quantum technologies with QAI Ventures, a financial partner and ecosystem builder in emerging technologies.