Projects per year
Abstract
A scaled quantum computer with donor spins in silicon would benefit from a viable semiconductor framework and a strong inherent decoupling of the qubits from the noisy environment. Coupling neighboring spins via the natural exchange interaction according to current designs requires gate control structures with extremely small length scales. We present a silicon architecture where bismuth donors with long coherence times are coupled to electrons that can shuttle between adjacent quantum dots, thus relaxing the pitch requirements and allowing space between donors for classical control devices. An adiabatic SWAP operation within each donor/dot pair solves the scalability issues intrinsic to exchange-based two-qubit gates, as it does not rely on subnanometer precision in donor placement and is robust against noise in the control fields. We use this SWAP together with well established global microwave Rabi pulses and parallel electron shuttling to construct a surface code that needs minimal, feasible local control.
Original language | English |
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Article number | 035306 |
Journal | Physical Review. B, Condensed matter and materials physics |
Volume | 93 |
Issue number | 3 |
DOIs | |
Publication status | Published - 14 Jan 2016 |
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Dive into the research topics of 'Surface code architecture for donors and dots in silicon with imprecise and nonuniform qubit couplings'. Together they form a unique fingerprint.Projects
- 2 Finished
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Materials World Network: Transfer of EP/I035536/1 sub-award from UCL->HWU to UCL->USTAN Materials World Network
Lovett, B. W. (PI)
1/10/13 → 29/08/16
Project: Standard
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Entangling dopant nuclear spins: Entangling dopant nuclear spins using double quantum dots
Lovett, B. W. (PI)
1/09/13 → 31/08/17
Project: Standard
Profiles
Datasets
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Data underpinning Phys Rev B 93 035306 (2016)
Lovett, B. W. (Creator), Pica, G. (Creator), Bhatt, R. (Contributor), Lyon, S. (Creator) & Schenkel, T. (Creator), University of St Andrews, 26 Apr 2016
DOI: 10.17630/2113d41e-3944-43f0-b351-d14ef791622c
Dataset
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