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An algae-powered computer: Researchers from the University of Cambridge and British tech company Arm have now demonstrated a different source of power for IoT devices: algae.

For their study, published in the journal Energy & Environmental Science, the team built a container about the size of a AA battery out of aluminum and clear plastic. They then filled it with water and algae that use photosynthesis to harvest energy from sunlight.

That process produces a small electric current. An electrode in the device uses that current to power a tiny computer processor commonly used in IoT devices.

The CHIPS Act of 2022 was signed into law on Aug. 9. It provides tens of billions of dollars in public support for revitalization of domestic semiconductor manufacturing, workforce training, and “leap ahead” wireless technology. Because we outsource most of our device fabrication — including the chips that go into the Navy’s submarines and ships, the Army’s jeeps and tanks, military drones and satellites — our industrial base has become weak and shallow. The first order of business for the CHIPS Act is to address a serious deficit in our domestic production capacity.

Notoriously absent from the language of the bill is any mention of chip security. Consequently, the U.S. is about to make the same mistake with microelectronics that we made with digital networks and software applications: Unless and until the government demands in-device security, our competitors will have an easy time of manipulating how chips function and behave. Nowhere is this more dangerous than our national security infrastructure.

Orbiting around 420 kilometers (261 miles) above our heads, the astronauts of the Internation Space Station (ISS) get a view of Earth like no other. Sometimes, it’s spectacular auroras, other times it’s something more… curious.

European Space Agency (ESA) astronaut Samantha Cristoforetti – no stranger to having a bit of fun in space – took to Twitter yesterday to share what she called an “intriguing sight”, a bright dot apparently shining in the Negev desert in southern Israel. Related StoriesAfter 175 Years, Two False Conjectures, And The Birth Of Computing, This Theorem Finally Has A ProofExperiment To Find Elusive “Chameleon” Fifth Force Suggests It Doesn’t Actually ExistPerseverance Samples Hold Key To Understanding Water-Rich Martian Past.

As the size of modern technology shrinks down to the nanoscale, weird quantum effects—such as quantum tunneling, superposition, and entanglement—become prominent. This opens the door to a new era of quantum technologies, where quantum effects can be exploited. Many everyday technologies make use of feedback control routinely; an important example is the pacemaker, which must monitor the user’s heartbeat and apply electrical signals to control it, only when needed. But physicists do not yet have an equivalent understanding of feedback control at the quantum level. Now, physicists have developed a “master equation” that will help engineers understand feedback at the quantum scale. Their results are published in the journal Physical Review Letters.

“It is vital to investigate how feedback control can be used in quantum technologies in order to develop efficient and fast methods for controlling quantum systems, so that they can be steered in real time and with high precision,” says co-author Björn Annby-Andersson, a quantum physicist at Lund University, in Sweden.

An example of a crucial feedback-control process in quantum computing is quantum error correction. A quantum computer encodes information on physical qubits, which could be photons of light, or atoms, for instance. But the quantum properties of the qubits are fragile, so it is likely that the encoded information will be lost if the qubits are disturbed by vibrations or fluctuating electromagnetic fields. That means that physicists need to be able to detect and correct such errors, for instance by using feedback control. This error correction can be implemented by measuring the state of the qubits and, if a deviation from what is expected is detected, applying feedback to correct it.

Circa 2015 face_with_colon_three

Molecular Electronics: Nanogap Electrodes towards Solid State Single-Molecule Transistors (Small 46/2015)

Ajuan Cui, Huanli Dong, Wenping Hu.

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Quantum computers promise to propel computing far beyond what today’s computers are capable of, but this potential has yet to be realized. In their search for a way to demonstrate quantum supremacy, researchers working in the EU-funded PHOQUSING project are developing a hybrid computational system based on cutting-edge integrated photonics that combines classical and quantum processes.

The project’s goal is to develop a quantum sampling machine that will put Europe at the forefront of photonic quantum computing. With this goal in mind, PHOQUSING project partner QuiX Quantum in the Netherlands has created the largest quantum photonic processor compatible with quantum dots (nanometer-sized semiconductor crystals that emit light of various colors when illuminated by ultraviolet light). The processor is the central component of the quantum sampling machine, a near-term quantum computing device able to show a quantum advantage.

“Quantum sampling machines based on light are believed to be very promising for showing a quantum advantage,” reports a news item posted on the QuiX Quantum website. “The problem of drawing samples from a probability distribution, mathematically too complex for a classical computer, can be solved easily by letting light propagating [sic] through such quantum sampling machines. At the very core of quantum sampling machines there are large-scale linear optical interferometers, i.e. photonic processors.”

Mark Zuckerger has confirmed on The Joe Rogan Experience podcast that Meta will be releasing its next virtual reality headset in October. While he didn’t mention a product name, he described a device that’s consistent with previous reports about the headset that’s codenamed “Project Cambria.” He said the company will likely launch it around its annual Connect event, which took place in late October last year.

According to a previous report by The Information, Reality Labs employees described the new headset as “laptop for the face” or “Chromebook for the face.” It will reportedly have outward-facing cameras enabling mixed-reality experiences. Also, the publication said back then that it will have the capability to allow users’ avatars in the metaverse to mirror their expressions and to show where they’re looking in real life.

As The Verge notes, Zuckerberg has also confirmed those features during his guesting. He said the headset’s features allow some kind of eye contact in virtual reality and that it will be able to translate users’ expressions in real time to their avatars, whether they’re smiling, frowning or pouting.

Interaction between glass spheres suspended in a vacuum might one day lead to advances in quantum computing.

Tohoku University scientists in Japan have developed a mathematical description of what happens within tiny magnets as they fluctuate between states when an electric current and magnetic field are applied. Their findings, published in the journal Nature Communications, could act as the foundation for engineering more advanced computers that can quantify uncertainty while interpreting complex data.

Classical computers have gotten us this far, but there are some problems that they cannot address efficiently. Scientists have been working on addressing this by engineering computers that can utilize the laws of quantum physics to recognize patterns in complex problems. But these so-called quantum computers are still in their early stages of development and are extremely sensitive to their surroundings, requiring extremely low temperatures to function.

Now, scientists are looking at something different: a concept called probabilistic computing. This type of computer, which could function at room temperature, would be able to infer potential answers from complex input. A simplistic example of this type of problem would be to infer information about a person by looking at their purchasing behavior. Instead of the computer providing a single, discrete result, it picks out patterns and delivers a good guess of what the result might be.