Quantum Machine Learning

April 18, 2014 by

Quantum_MLEver wonder what will happen when exabyte data stores are the norm, and even the parallelism of Hadoop can no longer provide the necessary processing power to address the data deluge? Quantum computing may hold the answer. Seth Lloyd from MIT visited the Google Quantum AI Lab in Los Angeles to give a tech talk on “Quantum Machine Learning.” Machine learning algorithms find patterns in big data sets. This talk presents quantum machine learning algorithms that give exponential speed-ups over their best existing classical counterparts. The algorithms work by mapping the data set into a quantum state (big quantum data) that contains the data in quantum superposition. Quantum coherence is then used to reveal patterns in the data. The quantum algorithms scale as the logarithm of the size of the database. Read more of this post

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Napping can Dramatically Increase Learning, Memory, Awareness, and More

Source: http://www.minds.com/blog/view/292493790206234624/napping-can-dramatically-increase-learning-memory-awareness-and-more

In some places, towns essentially shut down in the afternoon while everyone goes home for a siesta. Unfortunately, in the U.S.—more bound to our corporate lifestyles than our health—a mid-day nap is seen as a luxury and, in some cases, a sign of pure laziness. But before you feel guilty about that weekend snooze or falling asleep during a movie, rest assured that napping is actually good for you and a completely natural phenomena in the circadian (sleep-wake cycle) rhythm.

As our day wears on, even when we get enough sleep at night, our focus and alertness degrade. While this can be a minor inconvenience in modern times, it may have meant life or death for our ancestors. Whether you are finishing up a project for work or hunting for your livelihood, a nap can rekindle your alertness and have your neurons back up and firing on high in as little as 15 to 20 minutes.

Big name (and high-dollar) companies recognize this. Google and Apple are just a few that allow employees to have nap time. Studies have affirmed that short naps can improve awareness and productivity. Plus, who wouldn’t love a boss that lets you get a little shut-eye before the afternoon push?

A study from the University of Colorado Boulder found that children who missed their afternoon nap showed less joy and interest, more anxiety, and poorer problem solving skills than other children. The same can be seen in adults that benefit from napping.

Researchers with Berkeley found an hour nap to dramatically increase learning ability and memory. Naps sort of provide a reboot, where the short term memory is cleared out and our brain becomes refreshed with new defragged space. Read more of this post

Eric Ladizinsky: Evolving Scalable Quantum Computers

Eric Ladizinsky visited the Quantum AI Lab at Google LA to give a talk “Evolving Scalable Quantum Computers.” This talk took place on March 5, 2014. Abstract: EVOLVING QUANTUM COMPUTERS: “The nineteenth century was known as the machine age, the twentieth century will go down in history as the information age. I believe the twenty-first century will be the quantum age”. Paul Davies Quantum computation represents a fundamental paradigm shift in information processing. By harnessing strange, counterintuitive quantum phenomenon, quantum computers promise computational capabilities far exceeding any conceivable classical computing systems for certain applications. These applications may include the core hard problems in machine learning and artificial intelligence, complex optimization, and simulation of molecular dynamics .. the solutions of which could provide huge benefits to humanity. Realizing this potential requires a concerted scientific and technological effort combining multiple disciplines and institutions … and rapidly evolving quantum processor designs and algorithms as learning evolves. D-Wave Systems has built such a mini-Manhattan project like effort and in just a under a decade, created the first, special purpose, quantum computers in a scalable architecture that can begin to address real world problems. D-Wave’s first generation quantum processors (now being explored in conjunction with Google/NASA as well as Lockheed and USC) are showing encouraging signs of being at a “tipping point” .. matching state of the art solvers for some benchmark problems (and sometimes exceeding them) … portending the exciting possibility that in a few years D-Wave processors could exceed the capabilities of any existing classical computing systems for certain classes of important problems in the areas of machine learning and optimization. In this lecture, Eric Ladizinsky, Co-Founder and Chief Scientist at D-Wave will describe the basic ideas behind quantum computation , Dwave’s unique approach, and the current status and future development of D-Wave’s processors. Included will be answers to some frequently asked questions about the D-Wave processors, clarifying some common misconceptions about quantum mechanics, quantum computing, and D-Wave quantum computers. Speaker Info Eric Ladizinsky is a physicist, Co-founder, and Chief Scientist of D-Wave Systems. Prior to his involvement with D-Wave, Mr. Ladizinsky was a senior member of the technical staff at TRW’s Superconducting Electronics Organization (SCEO) in which he contributed to building the world’s most advanced Superconducting Integrated Circuit capability intended to enable superconducting supercomputers to extend Moore’s Law beyond CMOS. In 2000, with the idea of creating a quantum computing mini -Manhattan-project like effort, he conceived, proposed, won and ran a multi-million dollar, multi-institutional DARPA program to develop a prototype quantum computer using (macroscopic quantum) superconducting circuits. Frustrated with the pace of that effort Mr. Ladizinsky, in 2004, teamed with D-Wave’s original founder (Geordie Rose) to transform the then primarily IP based company to a technology development company modeled on his mini-Manhattan-project vision. He is also responsible for designing the superconducting (SC) IC process that underlies the D-Wave quantum processors … and transferring that process to state of art semiconductor production facilities to create the most advanced SC IC process in the world.

John Hunter Memorial Fund

Tue 28 August 2012

By Travis (Source – http://numfocus.org/johnhunter.html)
 
John Hunter 
 
John Hunter, author of Matplotlib, founding board member of NumFOCUS, husband to Miriam, and father to three daughters: Clara, Ava, and Rahel, was diagnosed with cancer in late July 2012 after returning from his keynote address at SciPy in Austin, TX. He passed away on August 28th from complications arising from necessary cancer treatment. See the announcement email by his good friend, Fernando Perez.John has given so much to all of us in the Python community, now is our time to give something back to his family by providing for the education and support of his children. We have setup the John Hunter Memorial Fund to provide a mechanism for individuals and companies who have appreciated John’s work, to give back to him by ensuring that his children have funds available for their education.

View French translation

Donations are gifts to Miriam and her girls. They will be used for the care and education of Clara, Ava, and Rahel. As of A PayPal account has been set up so that you may give to John’s family directly. You may also send a check directly to the family made out to Miriam Sierig and mailed to the address below.  Thank you for your generosity!

PayPal:

Please visit to Source – http://numfocus.org/johnhunter.html

Checks:

Miriam Sierig
953 E Hyde Park Blvd #2
Chicago, IL 60615