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Leggett, Anthony J. Kwiat, Paul G. Leggett, Anthony J. Schulten, Klaus J. Weissman, Michael B. Yung, Man Hong 2010-01-06T16:12:29Z 2010-01-06T16:12:29Z 2010-01-06T16:12:29Z This is a study of several physical challenges for building a quantum computer, a hypothetical device which is capable of accomplishing tasks unachievable by the classical model of computation. In chapter 1, we will give an overview of quantum computation and discuss the physical challenges for building a realistic quantum computer. In chapter 2, we shall explore the applications of quantum computation for the simulation of molecular quantum systems. In particular, an efficient algorithm for evaluating the partition function (and hence free energy) is proposed. In chapter 3, quantum information transfer over spin chains is then discussed. A proof about the most efficient way to transfer quantum information in one dimension is constructed. In chapter 4, we shall consider the effects of quantum correlation induced by quantum mechanical environments on the efficiency of the methods of quantum error correction. In chapter 5, we consider how the thermal noise affects the reliability of an adiabatic quantum computer. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2009-11-18T19:11:21Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 yung_manhong.pdf: 767408 bytes, checksum: 8dfbac73e3486533852307e2a1535571 (MD5) Made available in DSpace on 2010-01-06T16:12:29Z (GMT). No. of bitstreams: 2 yung_manhong.pdf: 767408 bytes, checksum: 8dfbac73e3486533852307e2a1535571 (MD5) license.txt: 4056 bytes, checksum: b97e863a35ecec9cde5f579795441f3b (MD5) http://hdl.handle.net/2142/14565 en Copyright 2009 Man Hong Yung quantum computation quantum information decoherence quantum state transfer error correlation adiabatic quantum computing quantum simulation Physical challenges of quantum computation 2009-12 Physics 1244 Physics 0240 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Physics -UIUC 10KS0240PHD