Article abstract
Nature Physics 1, 177 - 183 (2005)
doi:10.1038/nphys174
Subject Categories: Information theory and computation | Electronics, photonics and device physics | Quantum physics
Fault-tolerant architecture for quantum computation using electrically controlled semiconductor spins
J. M. Taylor1, H.-A. Engel1, W. Dür2, A. Yacoby3, C. M. Marcus1, P. Zoller2 and M. D. Lukin1
Abstract
Information processing using quantum systems provides new paradigms for computation and communication and may yield insights into our understanding of the limits of quantum mechanics. However, realistic systems are never perfectly isolated from their environment, hence all quantum operations are subject to errors. Realization of a physical system for processing of quantum information that is tolerant of errors is a fundamental problem in quantum science and engineering. Here, we develop an architecture for quantum computation using electrically controlled semiconductor spins by extending the Loss–DiVincenzo scheme and by combining actively protected quantum memory and long-distance coupling mechanisms. Our approach is based on a demonstrated encoding of qubits in long-lived two-electron states, which immunizes qubits against the dominant error from hyperfine interactions. We develop a universal set of quantum gates compatible with active error suppression for these encoded qubits and an effective long-range interaction between the qubits by controlled electron transport. This approach yields a scalable architecture with favourable error thresholds for fault-tolerant operation, consistent with present experimental parameters.
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
- Institute for Theoretical Physics, University of Innsbruck, and Institute for Quantum Optics and Quantum Information of the Austrian Academy of Sciences, A-6020 Innsbruck, Austria
- Department of Condensed Matter Physics, Weizmann Institute of Science, Rehovot 76100, Israel
Correspondence to: J. M. Taylor1 e-mail: taylor@physics.harvard.edu
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