Lifeboat Foundation

Year 2013 face_with_colon_three

We need them because thin, pliable organic semiconductors are too slow to serve in tomorrow’s 3‑D chips.

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin and HZB has shown that a certain class of such problems can actually be solved better and much faster with quantum computers than with conventional methods.

Quantum computers use so-called qubits, which are not either zero or one as in conventional logic circuits, but can take on any value in between. These qubits are realized by highly cooled atoms, ions, or superconducting circuits, and it is still physically very complex to build a quantum computer with many qubits. However, mathematical methods can already be used to explore what fault-tolerant quantum computers could achieve in the future.

“There are a lot of myths about it, and sometimes a certain amount of hot air and hype. But we have approached the issue rigorously, using mathematical methods, and delivered solid results on the subject. Above all, we have clarified in what sense there can be any advantages at all,” says Prof. Dr. Jens Eisert, who heads a joint research group at Freie Universität Berlin and Helmholtz-Zentrum Berlin.

It seems like only yesterday when the one billion mark was passed in 2008.

Using a blink-and-you’ll-miss-it experiment, researchers from Trinity College Dublin have discovered that individuals differ widely in the rate at which they perceive visual signals. Some people perceive a rapidly changing visual cue at frequencies that others cannot, which means some access more visual information per timeframe than others.

This discovery suggests some people have an innate advantage in certain settings where response time is crucial, such as in ball sports, or in competitive gaming.

The rate with which we perceive the world is known as our “temporal resolution,” and in many ways it is similar to the refresh rate of a computer monitor.

On this day in 1976: Apple was founded.

Apple Inc., originally named Apple Computer, Inc., is a multinational corporation that creates and markets consumer electronics and attendant computer software, and is a digital distributor of media content. Apple’s core product lines are the iPhone smartphone, iPad tablet computer, and the Macintosh personal computer. The company offers its products online and has a chain of retail stores known as Apple Stores. Founders Steve Jobs, Steve Wozniak, and Ronald Wayne created Apple Computer Co. on April 1, 1976, to market Wozniak’s Apple I desktop computer,^[2] and Jobs and Wozniak incorporated the company on January 3, 1977,^[3] in Cupertino, California.

Chaos computing an introduction.

Shared with Dropbox.

Researchers at ETH have managed to trap ions using static electric and magnetic fields and to perform quantum operations on them. In the future, such traps could be used to realize quantum computers with far more quantum bits than have been possible up to now.

Novel metamaterial-based architectures offer a promising platform for building mass-producible, reprogrammable schemes that perform computing tasks with light.

A new device consisting of a semiconductor ring produces pairs of entangled photons that could be used in a photonic quantum processor.

Quantum light sources produce entangled pairs of photons that can be used in quantum computing and cryptography. A new experiment has demonstrated a quantum light source made from the semiconductor gallium nitride. This material provides a versatile platform for device fabrication, having previously been used for on-chip lasers, detectors, and waveguides. Combined with these other optical components, the new quantum light source opens up the potential to construct a complex quantum circuit, such as a photonic quantum processor, on a single chip.

Quantum optics is a rapidly advancing field, with many experiments using photons to carry quantum information and perform quantum computations. However, for optical systems to compete with other quantum information technologies, quantum-optics devices will need to be shrunk from tabletop size to microchip size. An important step in this transformation is the development of quantum light generation on a semiconductor chip. Several research teams have managed this feat using materials such as gallium aluminum arsenide, indium phosphide, and silicon carbide. And yet a fully integrated photonic circuit will require a range of components in addition to quantum light sources.