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Archive for the ‘computing’ category: Page 43

Aug 11, 2024

Revolutionizing Heat Transport with 4X Efficiency: Japanese Researchers Break World Record

Posted by in categories: computing, sustainability, transportation

This LHP (loop heat pipe) is unprecedented in transporting such a large amount of heat without electricity.


In a groundbreaking development, scientists at Nagoya University in Japan have created the world’s most powerful loop heat pipe (LHP), capable of transporting an astounding 10 kilowatts of heat without using any electricity. This innovation promises to revolutionize energy efficiency across multiple industries, from electric vehicles to data centers.

Understanding Loop Heat Pipes

Continue reading “Revolutionizing Heat Transport with 4X Efficiency: Japanese Researchers Break World Record” »

Aug 11, 2024

Practicing my Lecture on Strong Emergence and Computational Mechanics

Posted by in category: computing

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Aug 10, 2024

The future of data centers — on land, at sea, and in space

Posted by in categories: business, computing, space

Data centers are facilities that house the computing hardware used to process and store data. While some businesses maintain their own data centers on site, many others rely on ones owned and operated by someone else.

As our digital world continues to grow, demand for data centers — and clean electricity to operate them — is also increasing. To find out how we’ll be able to keep up, let’s look at the history of data centers, the challenges facing them, and ideas for overcoming those issues — on land, at sea, and in space.

Aug 10, 2024

Researchers discover new material for optically-controlled magnetic memory

Posted by in categories: computing, engineering

Researchers at the University of Chicago Pritzker School of Molecular Engineering (PME) have made unexpected progress toward developing a new optical memory that can quickly and energy-efficiently store and access computational data. While studying a complex material composed of manganese, bismuth and tellurium (MnBi2Te4), the researchers realized that the material’s magnetic properties changed quickly and easily in response to light. This means that a laser could be used to encode information within the magnetic states of MnBi2Te4.

Aug 10, 2024

Achieving quantum memory in the notoriously difficult X-ray range

Posted by in categories: computing, quantum physics

Light is an excellent carrier of information used not only for classical communication technologies but also increasingly for quantum applications such as quantum networking and computing. However, processing light signals is far more complex, compared to working with common electronic signals.

Aug 10, 2024

Quantum computing: Finding solutions by the people for the people

Posted by in categories: computing, quantum physics

PEARC24 launched its first Workshop on Broadly Accessible Quantum Computing (QC) as the full conference began, July 22, in Providence, RI. Led by NCSA’s Bruno Abreu and QuEra’s Tomasso Macri, 30+ participants included quantum chemists, system administrators, software developers, research computing facilitators, students and others looking to better understand the current status and the prospects of QC and its applications.

Aug 9, 2024

Did Einstein Crack the Biggest Problem in Physics…and Not Know It?

Posted by in categories: computing, cosmology, quantum physics

Join Brian Greene and a team of researchers testing Google’s quantum computer to glean new insights about quantum gravity from their impressive–if controversial–results.

Participants:
Maria Spiropúlu.
Joseph Lykken.
Daniel Jafferis.

Continue reading “Did Einstein Crack the Biggest Problem in Physics…and Not Know It?” »

Aug 9, 2024

What Is Analog Computing?

Posted by in category: computing

You don’t need 0s and 1s to perform computations, and in some cases it’s better to avoid them.

Aug 9, 2024

Superconducting Nanowires Enable Cooler Photon-Counting Electronics

Posted by in categories: computing, nanotechnology, quantum physics, space travel

Single-photon detectors built from superconducting nanowires have become a vital tool for quantum information processing, while their superior speed and sensitivity have made them an appealing option for low-light imaging applications such as space exploration and biophotonics. However, it has proved difficult to build high-resolution cameras from these devices because the cryogenically cooled detectors must be connected to readout electronics operating at room temperature. Now a research team led by Karl Berggren at the Massachusetts Institute of Technology has demonstrated a superconducting electronics platform that can process the single-photon signals at ultracold temperatures, providing a scalable pathway for building megapixel imaging arrays [1].

The key problem with designing high-resolution cameras based on these superconducting detectors is that each of the sensors requires a dedicated readout wire to record the single-photon signals, which adds complexity and heat load to the cryogenic system. Researchers have explored various multiplexing techniques to reduce the number of connections to individual detectors, yielding imaging arrays in the kilopixel range, but further scaling will likely require a signal-processing solution that can operate at ultralow temperatures.

Berggren and his collaborators believe that the answer lies in devices called nanocryotrons (nTrons), which are three-terminal structures made from superconducting nanowires, just like the single-photon detectors are. Although nTrons do not deliver the same speed and power of superconducting electronics based on Josephson junctions, the researchers argue that these shortcomings are not a critical problem in photon-sensing applications, where the detectors are similarly limited in speed and power. The nTrons also offer several advantages over Josephson junctions: they operate over a wider range of cryogenic temperatures, they don’t require magnetic shielding, and they exploit the same fabrication process as that used for the detectors, allowing for easy on-chip integration.

Aug 9, 2024

New 2D quantum sensor detects temperature anomalies and magnetic fields

Posted by in categories: computing, quantum physics

Researchers at TMOS, the ARC Center of Excellence for Transformative Meta-Optical Systems, and their collaborators at RMIT University have developed a new 2D quantum sensing chip using hexagonal boron nitride (hBN) that can simultaneously detect temperature anomalies and magnetic field in any direction in a new, groundbreaking thin-film format.

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