A major problem facing the realisation of scalable solid-state quantum computing is that of overcoming decoherence -- the process whereby phase information encoded in a quantum bit (`qubit') is lost as the qubit interacts with its environment. Due to the vast number of environmental degrees of freedom, it is challenging to accurately calculate decoherence times T2, especially when the qubit and environment are highly correlated. Hybrid or mixed electron-nuclear spin qubits, such as donors in silicon, are amenable to fast quantum control with pulsed magnetic resonance. They also possess `optimal working points' (OWPs) which are sweet-spots for reduced decoherence in magnetic fields. Analysis of sharp variations of T2 near OWPs was previously...
We report on the immersion of a spin qubit encoded in a single trapped ion into a spin-polarized neu...
The transfer of information between different physical forms is a central theme in communication and...
The finding of algorithms for factoring and data base search that promise substantially increased co...
This dissertation is a study of the decoherence of a solid-state spin qubit, either that of a locali...
Electron and nuclear spins are highly controllable and coherent quantum objects. They are therefore ...
The realization of spin-based logical gates crucially depends on magnetically coupled spin qubits. T...
Quantum computing is an emerging area within the information sciences revolving around the concept o...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 20...
Advancements in the technology of quantum bits invoke more precise calculations for decoherence and ...
A huge effort is underway to develop semiconductor nanostructures as low-noise qubits. A key source ...
We propose an architecture for quantum computing with spin-pair encoded qubits in silicon. Electron-...
In the era of classical computation, humanity has advanced greatly in scientific, economic and socia...
Long coherence times and fast gate operations are desirable but often conflicting requirements for p...
Spin qubits in silicon are among the most promising candidates for building a scalable quantum proce...
Donor spins in silicon allow for extremely long storage of quantum information and provide accurate ...
We report on the immersion of a spin qubit encoded in a single trapped ion into a spin-polarized neu...
The transfer of information between different physical forms is a central theme in communication and...
The finding of algorithms for factoring and data base search that promise substantially increased co...
This dissertation is a study of the decoherence of a solid-state spin qubit, either that of a locali...
Electron and nuclear spins are highly controllable and coherent quantum objects. They are therefore ...
The realization of spin-based logical gates crucially depends on magnetically coupled spin qubits. T...
Quantum computing is an emerging area within the information sciences revolving around the concept o...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 20...
Advancements in the technology of quantum bits invoke more precise calculations for decoherence and ...
A huge effort is underway to develop semiconductor nanostructures as low-noise qubits. A key source ...
We propose an architecture for quantum computing with spin-pair encoded qubits in silicon. Electron-...
In the era of classical computation, humanity has advanced greatly in scientific, economic and socia...
Long coherence times and fast gate operations are desirable but often conflicting requirements for p...
Spin qubits in silicon are among the most promising candidates for building a scalable quantum proce...
Donor spins in silicon allow for extremely long storage of quantum information and provide accurate ...
We report on the immersion of a spin qubit encoded in a single trapped ion into a spin-polarized neu...
The transfer of information between different physical forms is a central theme in communication and...
The finding of algorithms for factoring and data base search that promise substantially increased co...