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Quantum physics: The human body is controlled by electrical impulses in, for example, the brain, the heart and nervous system. These electrical signals create tiny magnetic fields, which doctors could use to diagnose various diseases, for example diseases of the brain or heart problems in young foetuses. Researchers from the Niels Bohr Institute have now succeeded in developing a method for extremely precise measurements of such ultra-small magnetic fields with an optical magnetic field sensor. The results are published in the scientific journal, Scientific Reports.

Assistant Professor Kasper Jensen in the Quantop research group’s laboratories at the Niels Bohr Institute where the experiments are carried out. (Photo: Ola Jakup Joensen)

Small magnetic fields from the human body can usually only be picked up by very sensitive superconducting magnetic field sensors that have to be cooled by liquid helium to near absolute zero (which is minus 273 degrees Celsius). But now researchers from the Niels Bohr Institute at the University of Copenhagen have developed a much cheaper and more practical optical magnetic field sensor that even works at room temperature or at body temperature.

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Scientists found that quantum fingerprinting protocol can surpass the classical limit for solving communication complexity problems.

A new study has experimentally demonstrated a quantum fingerprinting protocol and shown that it can surpass the classical limit for solving communication complexity problems. Scientists say that in these problems, two parties each have a message, and they both share some of their message with a referee, who has to decide whether the two messages are the same or not. The classical limit requires that a minimum amount of information must be transmitted between each party and the referee in order for the referee to make this decision.

Researchers found that the best communication complexity protocols require transmission of data that is two orders of magnitude larger than the classical limit.

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By Dr. Robert Green, postdoctoral fellow, Quantum Matter Institute

In the field of quantum matter research, we seek to uncover materials with properties that may find applications in new technologies. My team and I study the properties of various materials at an atomic level to find innovative ways that they can be used to compose the next generation of computer chips. Our research results in large amounts of experimental data. One of the toughest challenges is to analyze and present the data in a meaningful way, for not only our understanding of their underlying complex, quantum principles, but also for wider audiences, including fellow researchers in the field.

One of our key research projects aims to uncover properties in materials that might be used to make smaller, more energy efficient computer chips — five to 10 years from now. In accordance with Moore’s Law, the number of transistors and overall processing power within a chip has doubled every two years for over four decades. But as chips have become more and more powerful, technological demands also continue to expand and the devices that use these chips are also becoming more portable. As a result, conventional practices of making chips are straining the laws of physics to incorporate more transistors within a shrinking area.

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High-performance detectors that are compatible with mainstream semiconductor device fabrication deliver high speed, ultra-sensitivity, and good timing resolution.

Recent advances in biomedical imaging include the enhancement of image contrast, 3D sectioning capability, and compatibility with specialized imaging modes such as fluorescence lifetime imaging (FLIM).1–3 Compared with other imaging methods, FLIM offers the highest image contrast because it measures the lifetime of the fluorescence, rather than just its intensity or wavelength characteristics. The contrasting fluorescence lifetime attributes can then enable the observer to discriminate between regions, such as identifying healthy and diseased tissue for cancer detection. In conventional FLIM, a discrete single-photon detector, typically based on photomultiplier tube (PMT) technology, enables the acquisition of a single focal spot.4 This focal spot is then raster-scanned across the field of view to form an image. This approach, however, requires sequential scanning—pixel by pixel—and thus results in a slow image acquisition rate.

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Human brain is made up of a billion nerve cells called neurons and various other types of cells and is the most complex machine ever known. Even after years of research and studies we still do not have a complete understanding of how it works — how it controls every single thing we ever do. In order to unravel one such mysteries of the brain, researchers at the Carnegie Mellon University set out to find out why brain makes mistakes. The study was conducted as part of Carnegie Mellon’s BrainHub, a university initiative that focuses on how the structure and activity of the brain give rise to complex behaviors.

Brain

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