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That’s what prompted MIT engineers to create a fabric computer that can be stitched into regular clothes. The device features sensors, processors, memory, batteries, and both optical and Bluetooth communications, allowing networks of these fibers to provide sophisticated whole-body monitoring.

“Our bodies broadcast gigabytes of data through the skin every second in the form of heat, sound, biochemicals, electrical potentials, and light, all of which carry information about our activities, emotions, and health,” MIT professor Yoel Fink, who led the research, said in a press release.

“Wouldn’t it be great if we could teach clothes to capture, analyze, store, and communicate this important information in the form of valuable health and activity insights?”

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The future is coming and much faster than we think. Let’s do an exercise of imagination, imagine, for a moment, being able to send information from one point to another without the need for cables, Wi-Fi or traditional signals, more or less like something telepathic, right? Well, that is precisely what scientists have recently achieved at the University of Oxford: teleporting data between two quantum computers. Although it may seem like science fiction or just news, the world.

Although, let’s lower the hype a little, the transmission distance of this experiment was less than two meters, but that doesn’t matter, what matters is having achieved this milestone of sharing information without the need for connections.

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Their work pushes semiconductor-superconductor hybrid technology to new heights and strengthens Purdue’s role in quantum research.

Microsoft Advances Topological Quantum Computing

Microsoft Quantum recently published an article in Nature, highlighting key advancements in measuring quantum devices — an essential step toward building a topological quantum computer. The research was conducted by Microsoft scientists and engineers, including those at Microsoft Quantum Lab West Lafayette, based at Purdue University. In their announcement, the team described the operation of a crucial device that serves as a foundational building block for topological quantum computing. Their findings mark a significant milestone in the development of quantum computers, which have the potential to be far more powerful and resilient than current technologies.

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A team led by researchers at UNC-Chapel Hill has made an extraordinary discovery that is reshaping our understanding of bubbles and their movement. Imagine tiny air bubbles inside a liquid-filled container. When the container is shaken up and down, these bubbles exhibit an unexpected, rhythmic “galloping” motion—bouncing like playful horses and moving horizontally, despite the vertical shaking. This counterintuitive phenomenon, revealed in a new study, has significant technological implications, from improving surface cleaning and heat transfer in microchips to advancing space applications.

These galloping bubbles are already drawing significant attention. Their impact on fluid dynamics was recently recognized with an award for their video entry at the latest Gallery of Fluid Motion, organized by the American Physical Society.

“Our research not only answers a fundamental scientific question but also inspires curiosity and exploration of the fascinating, unseen world of fluid motion,” said Pedro Sáenz, principal investigator and professor of applied mathematics at UNC-Chapel Hill. “After all, the smallest things can sometimes lead to the biggest changes.”

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Quantum computers, which operate leveraging quantum mechanics effects, could soon outperform traditional computers in some advanced optimization and simulation tasks. Most quantum computing systems developed so far store and process information using qubits (quantum units of information that can exist in a superposition of two states).

In recent years, however, some physicists and engineers have been trying to develop quantum computers based on qudits, multi-level units of quantum information that can hold more than two states.

Qudit-based quantum systems could store more information and perform computations more efficiently than qubit-based systems, yet they are also more prone to decoherence.

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Graphyne is a crystalline form of carbon that is distinct from both diamond and graphite. Unlike diamond, where each atom possesses four immediate neighbors, or graphite, where each atom has three, graphyne’s structure combines two-coordinate and three-coordinate carbons.

Computational models suggest that graphyne has highly compelling electronic, mechanical and . It is predicted to be a semiconductor with a band gap appropriate for electronic devices, ultra-high charge carrier mobility far surpassing that of silicon, and ultimate strength comparable to that of graphene.

Applications of graphyne in electronics, energy harvesting and storage, gas separations and catalysis have been proposed. While graphyne was first theoretically predicted more than three decades ago, its remained elusive.

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A recent study has realized multipartite entanglement on an optical chip for the first time, constituting a significant advance for scalable quantum information. The paper, titled “Continuous-variable multipartite entanglement in an integrated microcomb,” is published in Nature.

Led by Professor Wang Jianwei and Professor Gong Qihuang from the School of Physics at Peking University, in collaboration with Professor Su Xiaolong’s research team from Shanxi University, the research has implications for quantum computation, networking and metrology.

Continuous-variable integrated quantum photonic chips have been confined to the encoding of and between two qumodes, a bottleneck withholding the generation or verification of multimode entanglement on chips. Additionally, past research on cluster states failed to go beyond discrete viable, leaving a gap in the generation and detection of continuous-variable entanglement on photonic chips.

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Combining on-chip photon-pair sources, two sets of linear integrated circuits for path entanglements and two path-to-orbital angular momentum converters, free-space-entangled orbital angular momentum photon pairs can be generated in high-dimensional vortex states, offering a high level of programmable dynamical reconfigurability.

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Slides here: http://bit.ly/MZMmdp — Whole Brain Emulation & Computational Neuroscience Synopsis Within a few decades, I believe it will be possible to construct working simulations of an entire human brain. In this talk I will explain why I believe this, with reference to recent work in Computational Neuroscience, extrapolations of Moore’s Law, and other such matters. I will also address some common criticisms leveled against whole brain emulation, and briefly discuss some of the many ways I believe this technology will drastically change the face of society in the near future.

I’ll basically be presenting selected material from this publication, with some updates and additions of my own.

http://www.fhi.ox.ac.uk/brain-emulation-roadmap-report.pdf.

Science, Technology & the Future — By Design.

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