Lifeboat Foundation

Grasping the precise energy landscapes of quantum particles can significantly enhance the accuracy of computer simulations for material sciences. These simulations are instrumental in developing advanced materials for applications in physics, chemistry, and sustainable technologies. The research tackles longstanding questions from the 1980s, paving the way for breakthroughs across various scientific disciplines.

An international group of physicists, led by researchers at Trinity College Dublin, has developed new theorems in quantum mechanics that explain the “energy landscapes” of quantum particle collections. Their work resolves decades-old questions, paving the way for more accurate computer simulations of materials. This advancement could significantly aid scientists in designing materials poised to revolutionize green technologies.

The new theorems have just been published in the prominent journal Physical Review Letters. The results describe how the energy of systems of particles (such as atoms, molecules, and more exotic matter) changes when their magnetism and particle count change. Solving an open problem important to the simulation of matter using computers, this extends a series of landmark works commencing from the early 1980s.

In most neutral-atom quantum computers, atoms are held in arrays of optical tweezers. Researchers typically populate the arrays stochastically, meaning that whether a given site receives an atom is down to chance. Atoms can later be rearranged individually, but the total number of atoms depends on the success of the initial loading.

The Atom Computing team developed an iterative process to fill an array to capacity. Instead of filling the array directly, the researchers first stochastically populated a second “reservoir” array. They then transferred atoms one by one from this reservoir to the target array using an optical tweezer. Between each loading step, the researchers imaged both arrays to determine which sites in each array were occupied. This step required temporarily switching off the tweezers and holding the atoms in an optical lattice formed from interfering laser beams.

The researchers showed that this sequence could be repeated as many times as necessary without losing atoms from the target array. They also showed that they could limit atom loss during the imaging step by enhancing the lattice strength using optical cavities. This enhancement allowed the atoms to be more strongly confined without increasing the optical lattice’s laser-power requirements.

The idea of the brain as a computer is everywhere. So much so we have forgotten it is a model and not the reality. It’s a metaphor that has lead some to believe that in the future they’ll be uploaded to the digital ether and thereby achieve immortality. It’s also a metaphor that garners billions of dollars in research funding every year. Yet researchers argue that when we dig down into our grey matter our biology is anything but algorithmic. And increasingly, critics contend that the model of the brain as computer is sending scientists (and their resources) nowhere fast. Is our attraction to the idea of the brain as computer an accident of current human technology? Can we find a better metaphor that might lead to a new paradigm?

Modern computer chips can have features built on a nanometer scale. Until now it has been possible to form such small structures only on top of a silicon wafer, but a new technique can now create nanoscale features in a layer below the surface. The approach has promising applications in both photonics and electronics, say its inventors, and could one day enable the fabrication of 3D structures throughout the bulk of the wafer.

The technique relies on the fact that silicon is transparent to certain wavelengths of light. This means the right kind of laser can travel through the surface of the wafer and interact with the silicon below. But designing a laser that can pass through the surface without causing damage and still carry out precise nanoscale fabrication below is not simple.

Researchers from Bilkent University in Ankara, Türkiye, achieved this by using spatial light modulation to create a needlelike laser beam that gave them greater control over where the beam’s energy was deposited. By exploiting physical interactions between the laser light and the silicon, they were able to fabricate lines and planes with different optical properties that could be combined to create nanophotonic elements below the surface.

Nano-MIND Technology for Wireless Control of Brain Circuits with Potential to Modulate Emotions, Social Behaviors, and Appetite.

Researchers at the Center for Nanomedicine within the Institute for Basic Science (IBS) and Yonsei University in South Korea have unveiled a groundbreaking technology that can manipulate specific regions of the brain using magnetic fields, potentially unlocking the secrets of high-level brain functions such as cognition, emotion, and motivation. The team has developed the world’s first Nano-MIND (Magnetogenetic Interface for NeuroDynamics) technology, which allows for wireless, remote, and precise modulation of specific deep brain neural circuits using magnetism.

The human brain contains over 100 billion neurons interconnected in a complex network. Controlling the neural circuits is crucial for understanding higher brain functions like cognition, emotion, and social behavior, as well as identifying the causes of various brain disorders. Novel technology to control brain functions also has implications for advancing brain-computer interfaces (BCIs), such as those being developed by Neuralink, which aim to enable control of external devices through thought alone.

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A research team from Skoltech and Bergische Universität Wuppertal in Germany has created a universal NOR logical element (from NOT—a negation operator and OR—a disjunction operator).

Topological insulators, capable of transmitting electricity without loss, may function in fractional dimensions such as 1.58. This breakthrough, combined with room-temperature operability, paves the way for advancements in quantum computing and energy efficiency through fractal structures.

What if we could find a way to make electric currents flow, without energy loss? A promising approach for this involves using materials known as topological insulators. They are known to exist in one (wire), two (sheet) and three (cube) dimensions; all with different possible applications in electronic devices. Theoretical physicists at Utrecht University, together with experimentalists at Shanghai Jiao Tong University, have discovered that topological insulators may also exist at 1.58 dimensions, and that these could be used for energy-efficient information processing. Their study was published recently in Nature Physics.

Classical bits, the units of computer operation, are based on electric currents: electrons running means 1, no electrons running means 0. With a combination of 0s and 1s, one can build all the devices that you use in your daily life, from cellphones to computers. However, while running, these electrons meet defects and impurities in the material, and lose energy. This is what happens when your device gets warm: the energy is converted into heat, and so your battery is drained faster.

The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.

Teleology the return of Aristotle?

The scientific story of who we are is a reductionist, gene-centric model that forfeits natural phenomena like purpose due to its association with intelligent design and a transcendent, intelligent designer. Noble is neutral on religious matters. Yet he sees compelling evidence that purpose may be fundamental to life. He’s determined to debunk the current scientific paradigm and replace the elevated importance of genes with something much more controversial. His efforts have enraged many of his peers but gained support from the next generation of origins-of-life researchers working to topple the reign of gene-centrism. If successful, the shift could not only transform how we classify, study and treat disease, but what it means to be alive.

One of the earliest biomedical computer programmers, Noble created the first model for a working human heart in 1960 on a vacuum tube computer. The project led to his discovery that heartbeats are emergent properties—new phenomena—arising from feedback loops, transforming our understanding of heart function and underpin treatments for heart conditions that we use today. His research on the heart’s pacemaker demonstrates a prioritization of the organism as a whole over its genes alone. “Several genes could individually be knocked out but the process continues,” says Noble. These genes are responsible for heart rhythm, yet other mechanisms can take over to get the job done.

Continue reading “Evolution May Be Purposeful And It’s Freaking Scientists Out” »