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Deutsche Physikalische Gessellschaft IOP Institute of Physics

Implementation of fault-tolerant quantum logic gates via optimal control

Focus on Quantum Control

R Nigmatullin1 and S G Schirmer2,3,4

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[1]

Control of Quantum Phenomena

Constantin Brif et al  2011  1
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[2]

Coherent Control of Two Nuclear Spins Using the Anisotropic Hyperfine Interaction

Yingjie Zhang et al  Physical Review Letters 2011  107 170503
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[3]

Optimal Control of Open Quantum Systems: Cooperative Effects of Driving and Dissipation

R. Schmidt et al  Physical Review Letters 2011  107 130404
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[4]

Optimal control methods for rapidly time-varying Hamiltonians

F. Motzoi et al  Physical Review A 2011  84 022307
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[5]

Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework

S. Machnes et al  Physical Review A 2011  84 022305
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Bang–bang control design for quantum state transfer based on hyperspherical coordinates and optimal time–energy control

Weiwei Zhou et al  Journal of Physics A: Mathematical and Theoretical 2011  44 105303
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Efficient algorithms for optimal control of quantum dynamics: the Krotov method unencumbered

S G Schirmer and Pierre de Fouquieres  New Journal of Physics 2011  13 073029
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[8]

Quantum control theory for state transformations: Dark states and their enlightenment

Peter Pemberton-Ross et al  Physical Review A 2010  82 042322
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Communication at the quantum speed limit along a spin chain

Michael Murphy et al  Physical Review A 2010  82 022318
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[10]

Ancilla-driven universal quantum computation

Janet Anders et al  Physical Review A 2010  82 020301
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[11]

Stabilizing open quantum systems by Markovian reservoir engineering

S. G. Schirmer and Xiaoting Wang  Physical Review A 2010  81 062306
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[12]

Control of quantum phenomena: past, present and future

Constantin Brif et al  New Journal of Physics 2010  12 075008
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[13]

Focus on Quantum Control

Herschel Rabitz  New Journal of Physics 2009  11 105030
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  3. Hybrid silicon lasers for optical interconnects

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  10. Finding mesoscopic communities in sparse networks

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