Goto

Collaborating Authors

quantum computer


Bessemer Venture Leads $79 Million Series C Round of Rigetti Computing

#artificialintelligence

Rigetti Computing, a leading quantum computing startup and pioneer in hybrid quantum-classical computing systems, has announced it closed a $79M Series C financing led by Bessemer Venture Partners. Franklin Templeton joins the round with participation from Alumni Ventures Group, DCVC, EDBI, Morpheus Ventures, and Northgate Capital. "This round of financing brings us one step closer to delivering quantum advantage to the market," said Chad Rigetti, founder and CEO of Rigetti Computing. The company is dually focused on building scalable, error-corrected quantum computers and supporting high-performance access to current systems over the cloud. Rigetti offers a distinctive hybrid computing access model designed for practical applications.


Quantum machines learn 'quantum data'

#artificialintelligence

Skoltech scientists have shown that quantum enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a "fertile ground to develop computational insights into quantum systems." The paper was published in the journal Physical Review A. Quantum computers utilize quantum mechanical effects to store and manipulate information. While quantum effects are often claimed to be counterintuitive, such effects will enable quantum enhanced calculations to dramatically outperform the best supercomputers. In 2019, the world saw a prototype of this demonstrated by Google as quantum computational superiority. Quantum algorithms have been developed to enhance a range of different computational tasks; more recently this has grown to include quantum enhanced machine learning.


Quantum machines learn

#artificialintelligence

Skoltech scientists have shown that quantum enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a "fertile ground to develop computational insights into quantum systems". The paper was published in the journal Physical Review A. Quantum computers utilize quantum mechanical effects to store and manipulate information. While quantum effects are often claimed to be counterintuitive, such effects will enable quantum enhanced calculations to dramatically outperform the best supercomputers. In 2019, the world saw a prototype of this demonstrated by Google as quantum computational superiority. Quantum algorithms have been developed to enhance a range of different computational tasks; more recently this has grown to include quantum enhanced machine learning.


The future of computing, a perspective

#artificialintelligence

Could it be possible to offer Einstein's intelligence, the context of Gandhi and the memory of all humanity in a consolidated computer platform? Will we be able, in the near future, to improve man - machine collaboration and connect both? So we are better able that to make more intelligent decisions? All of us have been generating enormous mountains of data for some years, thanks to 6 billion smartphones and around 30 billion connected sensors. To give you an idea; together we are producing 44 Zettabytes of data this year. One Zettabyte is comparable to 700,000 times the largest library in the world times 44.


QC Ware Announces Quantum Machine Learning Breakthrough

#artificialintelligence

QC Ware defines itself as a quantum computing-as-a-service company that builds enterprise solutions to run on quantum computing hardware. It recently announced several significant breakthroughs in quantum machine learning (QML). Machine learning is a subset of artificial intelligence. It has evolved from simple work in the 1950s to today's deep learning that uses sophisticated training and neural networks. Machine learning allows a computer to make decisions based on what it learns about the characteristics of large data sets.


UVA Uses Machine Learning, Quantum Computing to Study Genetic Disease - Scigazette.com

#artificialintelligence

A team from the University of Virginia School of Medicine is leveraging the power of quantum computing to gain better insight into genetic diseases with machine learning. Although quantum computers are still in their infancy, the researchers noted that when they do advance, they could offer computing power on a scale that's unimaginable on traditional computers. "We developed and implemented a genetic sample classification algorithm that is fundamental to the field of machine learning on a quantum computer in a very natural way using the inherent strengths of quantum computers," said Stefan Bekiranov, PhD. "This is certainly the first published quantum computer study funded by the National Institute of Mental Health and may be the first study using a so-called universal quantum computer funded by the National Institutes of Health." Quantum computers can consider significantly more possibilities than traditional computer programs.


Here's why AI didn't save us from COVID-19

#artificialintelligence

When the COVID-19 pandemic began we were all so full of hope. We assumed our technology would save us from a disease that could be stymied by such modest steps as washing our hands and wearing face masks. We were so sure that artificial intelligence would become our champion in a trial by combat with the coronavirus that we abandoned any pretense of fear the moment the curve appeared to flatten in April and May. We let our guard down. Pundits and experts back in January and February very carefully explained how AI solutions such as contact tracing, predictive modeling, and chemical discovery would lead to a truncated pandemic.


QC Ware Touts Breakthrough in Quantum Machine Learning Algorithms

#artificialintelligence

PALO ALTO, Calif., July 22, 2020 – QC Ware, provider of enterprise software and services for quantum computing, announced a significant breakthrough in quantum machine learning (QML) that increases QML accuracy and speeds up the industry timeline for practical QML applications on near-term quantum computers. QC Ware's algorithms researchers have discovered how classical data can be loaded onto quantum hardware efficiently and how distance estimations can be performed quantumly. These new capabilities enabled by Data Loaders are now available in the latest release of QC Ware's Forgecloud services platform, an integrated environment to build, edit, and implement quantum algorithms on quantum hardware and simulators. "QC Ware estimates that with Forge Data Loaders, the industry's 10-to-15-year timeline for practical applications of QML will be reduced significantly," said Yianni Gamvros, Head of Product and Business Development at QC Ware. "What our algorithms team has achieved for the quantum computing industry is equivalent to a quantum hardware manufacturer introducing a chip that is 10 to 100 times faster than their previous offering. This exciting development will require business analysts to update their quad charts and innovation scouts to adjust their technology timelines."


The Race for Quantum Supremacy and the Quantum Artificial Intelligence of Things

#artificialintelligence

Both races are setting the stage for the next dominant world power. While research into AI and quantum technologies is being developed on a worldwide scale, with advances coming from different countries, China and the United States (US) are at the forefront of both races, with these technologies forming important stepping stones for geopolitical power accumulation. Indeed, China is currently playing the game for supremacy on both quantum technologies and AI, trying to surpass the US and become the leading world power (Smith-Goodson, 2019). If China wins the race for quantum supremacy then it will be in a leading geostrategic position, since it will become the major dominant power in the next technological infrastructure, if, along with quantum supremacy, China achieves AI supremacy (both classical and quantum), then it may topple the US, Russia, Europe and Asian geopolitical competition vectors. On the other hand, this race is not restricted to countries, it is a global geostrategic and geoeconomic race that includes cooperative networks involving the academia and the private sectors as well, indeed, the US geostrategic position depends strongly upon the private sector's US-based large technology companies' investment in quantum technologies. Regarding the issue of quantum supremacy, it is relevant to consider Kirkland (2020)'s reflection, quoting: "(…) One thing remains unchanged (…) and that is the glaring reality that those who manage to successfully harness the power of quantum mechanics will have supremacy over the rest of the world. How do you think they will use it?"


'Sentient' homes and 'intelligent' food could feature in the lives of our children 30 years from now

Daily Mail - Science & tech

It is never easy to predict what society and technology will look like in the coming decades, but one futurist used the imaginations of children to come up with ideas. Futurist Brian David Johnson spoke to kids aged 8-13 as part of a study into their vision of life in the 2050s for the Institution of Engineering and Technology (IET). 'The current generation of young minds is nothing like we've seen before', Johnson explained, saying they were born and grew up constantly connected. Every child he spoke to was optimistic about the future, with many showing'jump-out-of-their-seat' levels of excitement about'what is to come' as they reach adulthood. He used the conversations he had with the children and their parents to formulate predictions about the future of smart homes, food and personal virtual assistants. Futurist Brian David Johnson spoke to children aged 8-13 as part of a study into their vision of life in the 2050s for the Institution of Engineering and Technology (IET).