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Google Quantum A.I. Lab Team
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Nice thread.   Error checking systems do need some kind of redundancy to reduce the chance of wrongly "correcting" non-errors.    re HAL,  in a later book, his designer finds out the HAL went insane when asked to keep some things secret - which was incompatible with his basic programming about not distorting information.   So HAL was right when he said "it could only be human error".  :)  
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Matthias Troyer visited the Google Quantum AI Lab to speak about "High Performance Quantum Computing". This talk took place on December 2, 2014.


As the outlines of a roadmap to building powerful quantum devices becomes more concrete an important emerging question is that of important real-world applications of quantum computers. While there exist many quantum algorithms which asymptotically outperform classical algorithms, asymptotic superiority can be misleading. In order for a quantum computer to be competitive, it needs to not only be asymptotically competitive but be able to solve problems within a limited time (for example one year) that no post-exa-scale classical supercomputer can solve within the same time. This search for a quantum killer-app turns out to be a formidable challenge. Using quantum chemistry simulations as a typical example, it turns out that significant advances in quantum algorithms are needed to achieve this goal. I will review how substantial improvements and optimized massively parallel implementation strategies of quantum algorithms have brought the problem of quantum chemistry from the realm of science fiction closer to being realistic. Similar algorithmic improvements will be needed in other areas in order to identify more “killer apps” for quantum computing. I will end with a short detour to quantum annealers and present a summary of our recent results on simulated classical and quantum annealing.


Matthias Troyer is professor of computational physics at ETH Zurich where he teaches advanced C++ programming, high performance computing, and simulations methods for quantum systems. He is a pioneer of cluster computing in Europe, having been responsible for the installation of the first Beowulf cluster in Europe with more than 500 CPUs in 1999, and the most energy efficient general purpose computer on the top-500 list in 2008. He is a Fellow of the American Physical Society and his activities range from quantum simulations and quantum computing to the development of novel simulation algorithms, high performance computing, and computational provenance. He is, the author of the Boost MPI C++ library for message passing on parallel computers, and the leader of the open-source ALPS library for the simulation of quantum many body systems.
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How do you know that superposition has been achieved and being implemented in the computer. Thanks !!
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Nice cartoon by Theoretical Physicists John Preskill and Spiros Michalakis describing how things are different in the Quantum World and how that can lead to powerful Quantum Computers.

Quantum Computers Animated
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+Sukhman Preet Singh Jawa "I mean you would need a covering for the quantum computer which can absorb every wavelength of Electromagnetic Radiation otherwise it would give wrong results. So you would actually needing a perfect black body."

The monolith- non reflective (black) no thermal or EM emissions.Yet was a galactic/quantum 'Kinder surprise'
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Jeremy O'Brien visited the Google Quantum AI Lab to deliver the talk: "Quantum Technologies." This talk took place on April 1, 2014.


The impact of quantum technology will be profound and far-reaching: secure communication networks for consumers, corporations and government; precision sensors for biomedical technology and environmental monitoring; quantum simulators for the design of new materials, pharmaceuticals and clean energy devices; and ultra-powerful quantum computers for addressing otherwise impossibly large datasets for machine learning-artificial intelligence applications. However, engineering quantum systems and controlling them is an immense technological challenge: they are inherently fragile; and information extracted from a quantum system necessarily disturbs the system itself. Despite these challenges a small number of quantum technologies are now commercially available. Delivering the full promise of these technologies will require a concerted quantum engineering effort jointly between academia and industry. We will describe our progress in the Centre for Quantum Photonics to delivering this promise using an integrated quantum photonics platform---generating, manipulating and interacting single particles of light (photons) in waveguide circuits on silicon chips.


Jeremy O'Brien is professor of physics and electrical engineering and director of the Centre for Quantum Photonics (CQP). He received his Ph.D. in physics from the University of New South Wales in 2002 for experimental work on correlated and confined electrons in organic conductors, superconductors and semiconductor nanostructures, as well as progress towards the fabrication of a phosphorus in silicon quantum computer. As a research fellow at the University of Queensland (2001-2006) he worked on quantum optics and quantum information science with single photons. CQP's efforts are focused on the fundamental and applied quantum mechanics at the heart of quantum information science and technology, ranging from prototypes for scalable quantum computing to generalised quantum measurements, quantum control, and quantum metrology.
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you should use this SYMMETRICAL CALCULATIONS PRINCIPLE for the D-Wave comp.: (<- time symmetry discussion; it is in Russian, sorry! - )
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A fully functional quantum computer is one of the holy grails of physics. A group of UCSB physicists has moved one step closer to making a quantum computer a reality
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Eric Ladizinsky visited the Google Quantum AI Lab to give a talk "Evolving Scalable Quantum Computers." This talk took place on March 5, 2014.


"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.
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Have them in circles
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Daniel Lidar visited the Quantum AI Lab at Google LA to give the talk: "Quantum Information Processing: Are We There Yet?" This talk took place on January 22, 2015.


Quantum information processing holds great promise, yet large-scale, general purpose quantum computers capable of solving hard problems are not yet available despite 20+ years of immense effort. In this talk I will describe some of this promise and effort, as well as the obstacles and ideas for overcoming them using error correction techniques. I will focus on a special purpose quantum information processor called a quantum annealer, designed to speed up the solution to tough optimization problems. In October 2011 USC and Lockheed-Martin jointly founded a quantum computing center housing a commercial quantum annealer built by the Canadian company D-Wave Systems. A similar device is operated by NASA and Google. These processors use superconducting flux qubits to minimize the energy of classical spin-glass models with as many spins as qubits, an NP-hard problem with numerous applications. There has been much controversy surrounding the D-Wave processors, questioning whether they offer any advantage over classical computing. I will survey the recent work we have done to benchmark the processors against highly optimized classical algorithms, to test for quantum effects, and to perform error correction.


Daniel Lidar has worked in quantum computing for nearly 20 years. He is a professor of electrical engineering, chemistry, and physics at USC, and hold a Ph.D. in physics from the Hebrew University of Jerusalem. His work revolves around various aspects of quantum information science, including quantum algorithms, quantum control, the theory of open quantum systems, and theoretical as well as experimental adiabatic quantum computation. He is a Fellow of the AAAS, APS, and IEEE. Lidar is the Director of the USC Center for Quantum Information Science and Technology, and is the Scientific Director of the USC-Lockheed Martin Center for Quantum Computing. Two of his former graduate students are now research scientists at Google’squantum artificial intelligence lab.
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Amazing! How I wish be there!!!! :)
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The Quantum Artificial Intelligence Laboratory is launching a collaborative program by allocating 20% of the compute time of the D-Wave Two quantum annealer at NASA Ames to researchers interested in artificial intelligence algorithms and advanced programming techniques (mapping, decomposition, embedding) for quantum annealing, with the objective to advance the state-of-the-art in quantum computing and its application to artificial intelligence. The program is administered by the Universities Space Research Association (USRA). For details please follow the link:
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+Mikhail Mikhail most of the people worried about AI are more worried about what in pre-computer days would be called "cornering the market." If you make an agent which is very much more skilled than competitors, there is a chance they can monopolize various resources. In this age of increasing inequality, we've constantly suffered both monoculture and economic abuse from (near-) monopolies.
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The first scientific book on Quantum Effects in Biology has just been released by Cambridge University Press. One of the Google Quantum AI Lab researchers, Masoud Mohseni, is the lead editor. Quantum biology is a fascinating subject of both fundamental and practical relevance to quantum engineering and quantum information science, since at its core it describes the conditions under which coherent phenomena could exist and have a functional role in noisy and complex quantum systems. Here is a brief description of the book:

Quantum mechanics provides the most accurate microscopic description of the world around us, yet the interface between quantum mechanics and biology is only now being explored. This book uses a combination of experiment and theory to examine areas of biology believed to be strongly influenced by manifestly quantum phenomena. The book covers diverse subjects including coherent energy transfer in photosynthetic light harvesting, environment-assisted quantum transport, spin coherence in the avian compass, and the problem of molecular recognition in olfaction. Data, fundamental theory, experimental approaches, and the underlying design principles are described in detail for each topic as are possible directions for future research. The book is ideal for advanced undergraduate and graduate students in physics, chemistry, and biology seeking to understand the interface of quantum mechanics, quantum information, and complex biological systems.

The book is written by an internationally recognized team of scientists who are among the pioneers in this emerging field, and includes a foreword by Nobel Laureate,Tony Leggett. For more detailed please see the following link:

Quantum Effects in Biology, edited by M. Mohseni, Y. Omar, G. Engel, and M. Plenio, Cambridge University Press, 2014
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Hardware Initiative at Quantum Artificial Intelligence Lab

Posted by Hartmut Neven, Director of Engineering

The Quantum Artificial Intelligence team at Google is launching a hardware initiative to design and build new quantum information processors based on superconducting electronics. We are pleased to announce that John Martinis and his team at UC Santa Barbara will join Google in this initiative. John and his group have made great strides in building superconducting quantum electronic components of very high fidelity. He recently was awarded the London Prize recognizing him for his pioneering advances in quantum control and quantum information processing. With an integrated hardware group the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture. We will continue to collaborate with D-Wave scientists and to experiment with the “Vesuvius” machine at NASA Ames which will be upgraded to a 1000 qubit “Washington” processor.
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A new theory explains the seemingly irreversible arrow of time while yielding insights into entropy, quantum computers, black holes, and the past-future divide.
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I Asked IBM Watson team but they can't make themselves share the Info.
Good news, a gift with instructions, equality under all laws.
(our unlawful status quo is about to be repaired. We citizens will still need all of your expertise. Just no special powers over the rest of us. Its not fair

To: act
Subject: Dear Becky Bond. Did you sign either of my petitions? they are important, educational to sheep, and worth the risk to status quo operations, my sister. Sincerely, Elder Jonathan L. Peterson, trying to defend our constitution for all citizen members. RE:
Date: Thu, 12 Jun 2014 17:13:18 +0000
Dear Becky Bond.  Did you sign either of my petitions? They are important, educational to sheep, which we all have been just didn't know it for sure (for obvious reasons, mostly survival based),
and worth the risk to status quo operations, my sister.
Doing what is morally correct is the right thing to do, ALWAYS.
It is that simple, so God having mercy on his children gives this gift of knowledge to mankind.
Sincerely, Elder Jonathan L. Peterson,
Prophet of God, servant of our Lord Jesus Christ.
One day soon we as a people will work together to stop unlawful laws. This is just proof that Bribery is still against our rule of law, the Constitution.
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Hidetoshi Nishimori visited the Google  Quantum AI Lab on March 28, 2014 to give a talk on the: "Theory of Quantum Annealing"


Quantum annealing is a generic framework, metaheuristic, for combinatorial optimization. I will first review the basic formulation of quantum annealing and numerical evidence for its performance, particularly in comparison with classical simulated annealing. I will then explain a few theorems to guarantee its convergence toward the solution. The final part will be devoted to recent developments concerning the order of quantum phase transitions that may take place in the process of quantum annealing and may impede efficient computation.


Hidetoshi Nishimori is a professor of Physics at Tokyo Institute of Technology, Japan. His academic interests cover statistical physics of disordered systems and quantum physics and computation, quantum annealing in particular. He was awarded Nishina Memorial Prize, IBM Science Prize and is a fellow of the Institute of Physics. He received his PhD from the University of Tokyo. After three years in the United States as a postdoc at Carnegie-Mellon University and Rutgers University, he joined Tokyo Institute of Technology, where he now serves as the Dean of the School of Science.

Hidetoshi Nishimori: "Theory of Quantum Annealing"
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this guy is a total champ, i love him.  super smart guy.
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News and updates from the Quantum A.I. Lab's corner of the multiverse
The Quantum Artificial Intelligence Lab is a collaboration between Google, NASA Ames Research Center and USRA. We're studying the application of quantum optimization to difficult problems in Artificial Intelligence.

Follow this page for news and discussion about quantum computing, and updates from the team at the Quantum A.I. Lab. 

You can learn more about the lab and its mission here.