Lifeboat Foundation

Nice.

Scientists in Australia have developed a quantum bit that’s 10 times more stable than existing technologies, and the new record could vastly expand the kinds of calculations quantum computers can perform.

Continue reading “Australian scientists broke a new record for quantum computing stability” »

Great advancement around how to make QC available on small scale devices.

Researchers from the Institute for Quantum Computing (IQC) at the University of Waterloo led the development of a new extensible wiring technique capable of controlling superconducting quantum bits, representing a significant step towards to the realization of a scalable quantum computer.

“The quantum socket is a wiring method that uses three-dimensional wires based on spring-loaded pins to address individual qubits,” said Jeremy Béjanin, a PhD candidate with IQC and the Department of Physics and Astronomy at Waterloo. He and Thomas McConkey, PhD candidate from IQC and the Department of Electrical and Computer Engineering at Waterloo, are lead authors on the study that appears in the journal Physical Review Applied as an Editors’ Suggestion and is featured in Physics. “The technique connects classical electronics with quantum circuits, and is extendable far beyond current limits, from one to possibly a few thousand qubits.”

Continue reading “New 3D wiring technique brings scalable quantum computers closer to reality” »

Ruslan Salakhutdinov, a deep-learning expert at Carnegie Mellon, is exploring smart ways for computers to learn about the world.

Samsung announced today that it is rolling out 10nm technology for mass manufacturing, with hardware expected in early 2017.

In Brief:

• Using reservoir computing and backpropagation, researchers were able to push an analog computer past its own boundaries.
• By combining established technologies with new innovations, we can speed up development with tech having the ability to improve itself.

(Phys.org)—Over the past few decades, quantum effects have greatly improved many areas of information science, including computing, cryptography, and secure communication. More recently, research has suggested that quantum effects could offer similar advantages for the emerging field of quantum machine learning (a subfield of artificial intelligence), leading to more intelligent machines that learn quickly and efficiently by interacting with their environments.

In a new study published in Physical Review Letters, Vedran Dunjko and coauthors have added to this research, showing that quantum effects can likely offer significant benefits to machine learning.

“The progress in machine learning critically relies on processing power,” Dunjko, a physicist at the University of Innsbruck in Austria, told Phys.org. “Moreover, the type of underlying information processing that many aspects of machine learning rely upon is particularly amenable to quantum enhancements. As quantum technologies emerge, quantum machine learning will play an instrumental role in our society—including deepening our understanding of climate change, assisting in the development of new medicine and therapies, and also in settings relying on learning through interaction, which is vital in automated cars and smart factories.”

Continue reading “How quantum effects could improve artificial intelligence” »

With Google Assistant, Google is far ahead of the competition when it comes to artificial intelligence.

Its called Singularity.

This new technology could change what we know about computers.

Everything is about cloud computing these days. In fact, there is such an emphasis on stuffing all your applications into the cloud that we’ve managed to create a situation where now we’re having performance issues. So then the tech world came up with another concept called fog computing which means we take everything out of the cloud and move it “to the edge”. It’s only a matter of time before we decide that edge computing isn’t centralized enough and then start moving everything back up to the cloud. All the while, highly paid data consultants are laughing all the way to the bank. The truth is though that cloud based solutions (also called software-as-a-service or SaaS) are here to stay. In many cases, the technology on offer is so complex and resource intensive that it only works with a centralized model. Quantum computing is a good example of this. So is IBM’s Watson cognitive computing solution. The company we’re going to talk about in this article, Cognitive Scale, is taking IBM Watson and making cognitive computing available to anyone via the cloud.

Founded in 2013, Texas based startup Cognitive Scale took in $25 million in funding just last week from investors that included Intel, Microsoft, and IBM. Probably the most compelling thing about Cognitive Scale is the pedigree of their leadership. The Company Chairman, Manoj Saxena, was responsible for commercializing IBM’s Watson with a $1 billion investment from IBM. He ended up at IBM because a company he founded called Webify was acquired by IBM in 2006. In fact, he founded and sold two venture-backed software companies in just 5 years’ time. The founder and CTO of Cognitive Scale, Matt Sanchez, was the 3rd employee and Chief Architect of Webify and was responsible for founding the R&D arm of IBM Watson called IBM Watson Labs. See how this all fits together?