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  1. #11
    Senior Member Airicist's Avatar
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    Towards scalable quantum computation

    Published on Jun 21, 2016

    Three decades have passed since Richard Feynman first proposed devising a "quantum computer"? founded on the laws of quantum physics to achieve computational speed-ups over classical methods. In that time, quantum algorithms have been developed that offer fast solutions to problems in a variety of fields including number theory, chemistry, and materials science. To execute such algorithms on a quantum device will require extensive quantum and classical "software"?. One of the grand challenges for the computer science community is the design and implementation of a software architecture to control and program quantum hardware. This session will address how to build a scalable, reliable quantum computer: What are the quantum and classical resource requirements? How do we protect the device against errors? How do we program the quantum computer? It will highlight recent advances in quantum device architectures, error correction, and software design tools, and pose crucial open questions in quantum computer science.

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    Quantum Computing: A Primer

    One of the key insights that legendary physicist and Nobel Prize laureate Richard Feynman had was that quantum mechanics (the branch of physics that deals with subatomic particles, uncertainty principle, and many other concepts beyond classic physics) is just way too complicated to simulate using traditional computers.
    Nature, of course, can handle these complex calculations -- computers however can't do those same calculations (or would take a prohibitively long time and amount of resources to do so). But this isn't just about being able to do more with computers in a faster (or smaller) way: It's about solving problems that we couldn't solve with traditional computers; it's about a difference of kind not just degree.
    So what is a quantum computer and "qubits" -- especially as compared to a traditional computer and bits? What is Grover's Algorithm? And besides speed of processing, what are some of the new applications that wouldn't have been possible before? From how traditional computers work and quantum computers will work to why this all matters, a16z Deal and Research team head Frank Chen walks us through the basics of quantum computing in this slide presentation. And even though may feel like you finally understand after watching this, just remember what Feynman once said: "If you think you understand quantum mechanics then you don't understand quantum mechanics."

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    A Quantum Leap Technion Center for Quantum Science, Matter and Engineering

    Published on Sep 12, 2016

    A Quantum Leap - introducing the Technion-Israel Institute of Technology's Center for Quantum Science, Matter and Engineering
    How quantum science will transform our future.

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    Quantum computing 101

    Published on Nov 18, 2016

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    Quantum algorithms for number theory and their relevance to cryptography

    Published on Jan 27, 2017

    I will report on recent results about quantum algorithms for solving computational problems in number theory. I will show how they impact the security of certain post-quantum cryptosystems. Shor's quantum algorithm for factoring large integers and solving the discrete logarithm problem has been the motivation for an entire new area of research in cryptology: namely "post-quantum" cryptography. It consists of designing new cryptographic primitives which will resist attacks from quantum computers. In a recent work in collaboration with Fang Song, I presented a quantum polynomial time algorithm for solving the so-called "Principal Ideal Problem" (among other things) in arbitrary fields. We will see how this impacts the security of some ring-based proposals for quantum resistant cryptography. In collaboration with David Jao and Anirudh Sankar, I also described a quantum algorithm which finds an isogeny between two given supersingular curves over a finite field, a hard problem on which some post-quantum cryptosystem rely. Finally, if there is enough time, I'll mention some recent work on factorization.

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    Practical quantum computers are finally within reach

    Published on Mar 14, 2017

    Advances at Google, Intel, and several research groups indicate that computers with previously unimaginable power are finally within reach.
    "Practical Quantum Computers
    Advances at Google, Intel, and several research groups indicate that computers with previously unimaginable power are finally within reach.
    "
    Availability: 4-5 years

    by Russ Juskalian

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