Lifeboat Foundation

They’re getting really good, really, really fast.

Provides an introduction to quantum computing for non-physicists, as well as an introduction to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. Source code for the author’s QGAME quantum computer simulator is included as an appendix, and pointers to additional online resources furnish the reader with an array of tools for automatic quantum computer programming.

At the core of quantum computing is the qubit. The best ones have a few defining traits, and scientists are looking to everything from lasers to Russian diamonds to help refine the best qubits for the next generation of quantum computing.

Scientists at Lancaster University have announced that they have invented an electronic memory device that realises the dream of universal memory – a previously hypothetical technology long considered to be revolutionary for the industry.

Universal memory is a computer data storage technology that until now has been purely conceptual, combining the speed and low cost of dynamic random-access memory (DRAM) and the stability of flash memory. This also would result in significantly lower power consumption.

It had been considered impossible by some in the field, but scientists at Lancaster University say that the electronic memory device they have invented and patented is the realisation of the universal memory dream.

Researchers at the University of Chicago published a novel technique for improving the reliability of quantum computers by accessing higher energy levels than traditionally considered. Most prior work in quantum computation deals with “qubits,” the quantum analogue of binary bits that encode either zero or one. The new work instead leverages “qutrits,” quantum analogues of three-level trits capable of representing zero, one or two.

The UChicago group worked alongside researchers based at Duke University. Both groups are part of the EPiQC (Enabling Practical-scale Quantum Computation) collaboration, an NSF Expedition in Computing. EPiQC’s interdisciplinary research spans from algorithm and software development to architecture and hardware design, with the ultimate goal of more quickly realizing the enormous potential of quantum computing for scientific discovery and computing innovation.

Poet who discovered Shor’s algorithm answers questions about quantum computers and other mysteries.

The future is quantum, and while it’s absolutely full of possibilities, the increased power and scale of quantum computing presents some serious security concerns.

I had a little more invested in BCI.

Brain-machine interface—once the stuff of science fiction novels—is coming to a computer near you. The only question is: How soon? While the technology is in its infancy, it is already helping people with spinal cord injuries. Our authors examine its potential to be the ultimate game changer for any number of neurodegenerative diseases, as well as behavior, learning, and memory.

Physicists have discovered a novel kind of nanotube that generates current in the presence of light. Devices such as optical sensors and infrared imaging chips are likely applications, which could be useful in fields such as automated transport and astronomy. In future, if the effect can be magnified and the technology scaled up, it could lead to high-efficiency solar power devices.