Daniel Lidar: "Quantum Information Processing: Are We There Yet?"

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Daniel Lidar: "Quantum Data Processing: Are We There But?"

Daniel Lidar visited the Quantum AI Lab at Google LA to offer a chat: “Quantum Data Processing: Are We There But?” This speak occurred on January 22, 2015.

Summary:

Quantum data processing holds nice promise, but large-scale, common function quantum computer systems able to fixing exhausting issues aren’t but obtainable regardless of 20+ years of immense effort. On this speak I’ll describe a few of this promise and energy, in addition to the obstacles and concepts for overcoming them utilizing error correction strategies. I’ll concentrate on a particular function quantum data processor referred to as a quantum annealer, designed to hurry up the answer to powerful optimization issues. In October 2011 USC and Lockheed-Martin collectively based a quantum computing middle housing a business quantum annealer constructed by the Canadian firm D-Wave Methods. An analogous machine is operated by NASA and Google. These processors use superconducting flux qubits to attenuate the vitality of classical spin-glass fashions with as many spins as qubits, an NP-hard downside with quite a few functions. There was a lot controversy surrounding the D-Wave processors, questioning whether or not they provide any benefit over classical computing. I’ll survey the current work now we have executed to benchmark the processors towards extremely optimized classical algorithms, to check for quantum results, and to carry out error correction.

Bio:

Daniel Lidar has labored in quantum computing for almost 20 years. He’s a professor {of electrical} engineering, chemistry, and physics at USC, and maintain a Ph.D. in physics from the Hebrew College of Jerusalem. His work revolves round numerous facets of quantum data science, together with quantum algorithms, quantum management, the speculation of open quantum programs, and theoretical in addition to experimental adiabatic quantum computation. He’s a Fellow of the AAAS, APS, and IEEE. Lidar is the Director of the USC Heart for Quantum Data Science and Know-how, and is the Scientific Director of the USC-Lockheed Martin Heart for Quantum Computing. Two of his former graduate college students are actually analysis scientists at Google’s quantum synthetic intelligence lab.

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