Quantum Landscape News

By: Christopher Leonardi, Security Researcher, ISARA Corporation, and Luis Ruiz-Lopez, Security Researcher, ISARA Corporation Date: originally posted May 23, 2019 Abstract: We present a framework for the study of a learning problem over abstract groups, and introduce a new technique which allows for public-key encryption using generic groups. We proved, however, that in ... read more

Posted by David So, Software Engineer, Google AI Since it was introduced a few years ago, Google’s Transformer architecture has been applied to challenges ranging from generating fantasy fiction to writing musical harmonies. Importantly, the Transformer’s high performance has demonstrated that feed forward neural networks can be as effective as ... read more

Slated for launch in 2022, QEYSSat will demonstrate quantum key distribution (QKD) technology in space. This emerging encryption technology will  ... read more

Deep neural networks have shown remarkable success in many computer vision tasks, but current methods typically rely on massive amounts of labeled training data to achieve high performance. Collecting and annotating such large training datasets is costly, time-consuming, and, for certain tasks that have only a few or no available ... read more

The annual conference on Computer Vision and Pattern Recognition (CVPR 2019) takes place June 16–20 in Long Beach, CA. IBM Research AI will present technical papers describing our latest results in our quest to give AI systems sight. Our research explores a variety of areas within computer vision and multimedia, ... read more

The government has unveiled a £153 million programme to help 'commercialise' quantum technology, as total government spending in this area tops  ... read more

You’ve heard me rambling about Quantum Computers and the impact they will have on cryptography. Probably the biggest and most well-known impact is that they will be able to use Shor’s quantum algorithm to crack all RSA/ECC cryptography. Fortunately, Quantum Computers powerful enough to do this are not yet in ... read more

But as an emerging technology, research and innovation in quantum technologies requires continuing government support in order to maximise the  ... read more

Since its introduction in the 1970s, the backpropagation algorithm (backprop) has been the workhorse for training neural networks has and contributed to impressive successes in deep learning for a wide range of applications. Backprop plays an important role in enabling neural networks to track the errors they make, learn from ... read more

Inside Quantum Technology is coming to Europe: Register now Quantum technology is developing rapidly, from technology to use -cases to business development. Business people and professionals in the field must keep track of all relevant information to make strategic choices. Inside Quantum Technology (IQT), co-organized by QuTech, is the first ... read more

Cambridge, UK – Jun 13, 2019 – Riverlane, Europe’s most advanced quantum computing software developer, has raised £3.25m in seed funding, led by venture capital investors Cambridge Innovation Capital and Amadeus Capital Partners, with the participation of Cambridge Enterprise. Riverlane ... ... read more

For the second year in a row, researchers at the IBM-Illinois Center for Cognitive Computing Systems Research(C3SR) won a competition challenging experts worldwide to design low-power embedded systems for Internet-of-Things (IoT) applications. The 2019 Design Automation Conference (DAC) System Design Contest’s objective: create algorithms that can accurately detect and locate ... read more

While there is a growing body of work studying the theoretical properties of neural networks, our understanding of the macroscopic behavior of deep learning still leaves much to be desired. Questions persist around what drives the evolution of internal representations during training,  the properties of learned representations, and how fully ... read more