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Google Quantum A.I. Lab Team
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News and updates from the Quantum A.I. Lab's corner of the multiverse
News and updates from the Quantum A.I. Lab's corner of the multiverse

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Quantum computing may have early applications in chemistry and material study. Google's Quantum AI Lab hosted Dr. Andreas Hintennach from Daimler AG, Mercedes-Benz, Group Research for a Tech Talk on advanced battery technology titled "Post and Beyond Lithium-Ion Electrochemistry: A Focus on Novel and Sustainable Batteries".

With increasing numbers of cells being used in the world the need of a post Lithium-Ion technology emerges due to a limited availability of highly pristine nickel and cobalt and increasing need for recycling, environmental protection and overall energy efficiency.

https://www.youtube.com/watch?v=pxC2pciLl04
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Sergio Boixo, Research Scientist and Theory Lead at Google's Quantum AI Lab, recently published two papers and a blog post on quantum supremacy. A successful quantum supremacy experiment with random circuits would demonstrate the basic building blocks for a large-scale fault-tolerant quantum computer https://ai.googleblog.com/2018/05/the-question-of-quantum-supremacy.html

In “Characterizing quantum supremacy in near-term devices”, he presents the theoretical foundation for a practical demonstration of quantum supremacy in near-term devices. https://arxiv.org/abs/1608.00263

Also, in "A blueprint for demonstrating quantum supremacy with superconducting qubits", he illustrates a blueprint towards quantum supremacy and experimentally demonstrate a proof-of-principle version. There are two key ingredients for quantum supremacy: exponential complexity and accurate computations. http://science.sciencemag.org/content/360/6385/195
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Research Scientist Julian Kelly presented Bristlecone, Google Quantum AI's newest processor, at the annual American Physical Society meeting in Los Angeles. The purpose of this gate-based superconducting system is to provide a testbed for research into system error rates and scalability of our qubit technology, as well as applications in quantum simulation, optimization, and machine learning.



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One of the most promising applications for today's quantum processors is in quantum chemistry and simulation. Learn more by watching Ryan Babbush's talk at IBM.
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Today, we announced the release of OpenFermion, the first open source platform for translating problems in chemistry and materials science into quantum circuits that can be executed on existing platforms. OpenFermion is a library for simulating the systems of interacting electrons (fermions) which give rise to the properties of matter.

https://github.com/quantumlib/OpenFermion

https://research.googleblog.com/2017/10/announcing-openfermion-open-source.html

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Hartmut Neven gave a talk this summer at the Chinese Academy of Sciences about ongoing efforts at the Google Quantum A.I. Lab to engineer a processor that is capable of passing the quantum supremacy frontier. Also, he discusses useful applications for near-term quantum processors.

http://kits.ucas.ac.cn/index.php/events/talks-2/62-an-update-from-the-google-quantum-artificial-intelligence-lab-jul-5-2017
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Jarrod McClean recently joined the Google Quantum AI Lab and gave a talk on quantum simulation:

Quantum Computation for the Discovery of New Materials and Chemistry

Quantum computing is an exciting new technology that promises to
accelerate the solution of some problems beyond our wildest imagination. In this talk, I start from the ground up and explain what quantum computation is, and what it is not. This leads to a discussion of why now is the right time to be thinking about this new technology and some of the recent developments that have been made, laying the groundwork for the future of this computing model. I then argue that some of the first applications of this technology will be in the discovery of new materials and chemistry, and describe recent research efforts in this regard. These include implementations of new algorithms on real quantum devices.

https://www.youtube.com/watch?v=w7398u8G588
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BBC Report on the State of Quantum Computing

http://www.bbc.co.uk/programmes/p052800h
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We published a comment in Nature outlining the Quantum AI team's thoughts on commercializing near-term quantum computing technologies.

http://www.nature.com/news/commercialize-early-quantum-technologies-1.21583
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