The Loss–DiVicenzo quantum computer proposal tried to fulfill DiVincenzo's criteria for a scalable quantum computer,4 namely:
A candidate for such a quantum computer is a lateral quantum dot system. Earlier work on applications of quantum dots for quantum computing was done by Barenco et al.5
The Loss–DiVincenzo quantum computer operates, basically, using inter-dot gate voltage for implementing swap operations and local magnetic fields (or any other local spin manipulation) for implementing the controlled NOT gate (CNOT gate).
The swap operation is achieved by applying a pulsed inter-dot gate voltage, so the exchange constant in the Heisenberg Hamiltonian becomes time-dependent:
This description is only valid if:
k {\displaystyle k} is the Boltzmann constant and T {\displaystyle T} is the temperature in Kelvin.
From the pulsed Hamiltonian follows the time evolution operator
where T {\displaystyle {\mathcal {T}}} is the time-ordering symbol.
We can choose a specific duration of the pulse such that the integral in time over J ( t ) {\displaystyle J(t)} gives J 0 τ s = π ( mod 2 π ) , {\displaystyle J_{0}\tau _{\rm {s}}=\pi {\pmod {2\pi }},} and U s {\displaystyle U_{\rm {s}}} becomes the swap operator U s ( J 0 τ s = π ) ≡ U s w . {\displaystyle U_{\rm {s}}(J_{0}\tau _{\rm {s}}=\pi )\equiv U_{\rm {sw}}.}
This pulse run for half the time (with J 0 τ s = π / 2 {\displaystyle J_{0}\tau _{\rm {s}}=\pi /2} ) results in a square root of swap gate, U s w 1 / 2 . {\displaystyle U_{\rm {sw}}^{1/2}.}
The "XOR" gate may be achieved by combining U s w 1 / 2 {\displaystyle U_{\rm {sw}}^{1/2}} operations with individual spin rotation operations:
The U X O R {\displaystyle U_{\rm {XOR}}} operator is a conditional phase shift (controlled-Z) for the state in the basis of S L + S R {\displaystyle \mathbf {S} _{\rm {L}}+\mathbf {S} _{\rm {R}}} .6: 4 It can be made into a CNOT gate by surrounding the desired target qubit with Hadamard gates.
Spin qubits mostly have been implemented by locally depleting two-dimensional electron gases in semiconductors such a gallium arsenide,78 and germanium.9 Spin qubits have also been implemented in other material systems such as graphene.10 A more recent development is using silicon spin qubits, an approach that is e.g. pursued by Intel.1112 The advantage of the silicon platform is that it allows using modern semiconductor device fabrication for making the qubits. Some of these devices have a comparably high operation temperature of a few kelvins (hot qubits) which is advantageous for scaling the number of qubits in a quantum processor.1314
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D. P. DiVincenzo, in Mesoscopic Electron Transport, Vol. 345 of NATO Advanced Study Institute, Series E: Applied Sciences, edited by L. Sohn, L. Kouwenhoven, and G. Schoen (Kluwer, Dordrecht, 1997); on arXiv.org in Dec. 1996 https://arxiv.org/abs/cond-mat/9612126 ↩
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