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QC-USC

单位:University of Southern California

研究方向:theoretical and practical aspects of adiabatic quantum optimization

个人主页: https://www.isi.edu/research_groups/quantum_computing/people


A joint effort of Lockheed Martin Corporation and the University of Southern California, the Quantum Computation Center (QCC) is housed at USC’s Information Sciences Institute, one of the world’s leading computer science and engineering research entities.


Quantum computing potentially offers orders-of-magnitude gains in speed and memory, as well as greater security, for some computing problems.  Applications include “big data” analysis, classification, optimization and machine learning, which in turn could support breakthroughs in aerospace, medical imaging, robotics, finance, web search, bioinformatics and other disciplines.


The QCC is focused on adiabatic quantum computation, in which a problem is encoded into the lowest energy (“coldest”) state of a physical quantum system.  Processing occurs on a D-Wave One system with a 128-quantum bit ("qubit") Rainier processor, the world's first specialized adiabatic quantum optimizer. Hardware is kept at near absolute zero temperatures, and the facility contains powerful shielding to block out electromagnetic interference.


Lockheed Martin, USC and USC Information Sciences Institute researchers can access the D-Wave One system, enabling QCC partners to lead exploration of quantum computing research.


Research at the USC Lockheed Martin Quantum Computing Center focuses on the theoretical and practical aspects of adiabatic quantum optimization, a powerful new paradigm for solving some of the toughest optimization problems while harnessing the power of quantum mechanics.


Of particular interest are problems that can be mapped into quadratic unconstrained binary optimization (QUBO), or finding the ground (lowest energy state) of the two-dimensional Ising spin model. Such problems include machine learning, image classification, software verification, anomaly detection, and neural networks. Of additional great interest is the development of error correction strategies tailored to adiabatic quantum optimization.


The Center is uniquely equipped to address these questions using the D-Wave One Rainier chip, a programmable, 128 qubit, special purpose quantum adiabatic optimizer.

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