Capacitance model
This section is an extraction from Jana’s thesis.
Quantum dots with weak coupling between them and thus well localized charges separated from the remaining of the electron gas can be modelled by the capacitance model, also referred to as the constant-interaction model (van der Wiel et al. 2002). The constant-interaction model is a classical description based on two assumptions (Hanson et al. 2007). First, the Coulomb interactions between electrons on dots and in reservoirs are parametrized by constant capacitances. Second, the single-particle energy-level spectrum is considered independent of electron interactions and the number of electrons, meaning that quantum mechanical energy spacings are not taken into account.
The system of electrostatic gates, dots and reservoirs is represented by a system of conductors connected via resistors and capacitors. Albeit classical and simple, the capacitance model explains and qualitatively reproduces relevant transport features of gate-defined quantum dots. The following paragraphs are based on van der Wiel et al. 2002 and discussions with John K. Gamble.
The capacitance model is defined by a capacitance matrix
The capacitor connecting node
Using the vector notation for charges and electrical potentials introduced above, this relation can be expressed using the capacitance matrix,
Distinguishing between charge and voltage node sub-systems, this relation becomes
Diagonal elements of the capacitance matrix,
The capacitance matrix allows to derive an expression of the charge nodes’
electrochemical potential
Using (2), we can express the charge nodes’ potentials
Combining (4) and (3), the energy reads
We now assume that the number of charges on charge nodes
where
Using this definition together with (5) we obtain
For simplicity, we assume the electrochemical potentials of source and drain to be zero. This assumption is reasonable for cases when the bias between source and drain is infinitesimal. In this case, a current arises when the electrochemical potentials of all dots are zero and no energy is required to add another electron. There are two possible conditions for electrochemical potentials to be zero, for each dot and each charge configuration,
Using the expression
These equations can be used to either calculate potentials, i.e. gate voltage
combinations, resulting in a particular charge configuration and hence
determine voltages at which charge transitions occur, or to extract the
capacitance matrix if enough charge transitions are known.
However, a system of
Double quantum dots
We now consider the specific case of two charge and six voltage nodes,
representing common 2DEG device layouts for semiconductor
qubits.
An illustration of the layout as well as the corresponding capacitance model
are shown in Fig. 19 and Fig. 20
respectively. We denote the two
charge nodes, i.e. dots, by capital letters
Fig. 19 Schema of a double dot device with six electrostatic gates.
Fig. 20 Capacitive coupling between gates and gates and dots of a double dot device with six electrostatic gates.
The capacitance sub-matrices of this system are
where
Here
Charge diagram
The charge diagram, sometimes also called the charge stability diagram, is a two-dimensional measurement stepping over two gate voltages while probing the dots’ stable electron configurations. As introduced above, charge transitions of a double quantum dot form hexagonal domains. The shape and dimensions of these domains depend, among others, on the capacitive coupling between gates and dots.
Fig. 21 Characteristic honeycomb pattern of moderately coupled quantum dots. The two types of triple points are marked by red and blue dots.
Fig. 22 Electron and hole triple points. The terminology originates from the fact that transport through the reservoir-dots system can be viewed as either electron or hole tunnelling events. At triple points marked in blue, an electron is tunnelling counter-clockwise, while at the triple points marked in red a hole is tunnelling clock-wise.
Fig. 23 Charge diagram of a double quantum dot with a vanishing inter-dot capacitance and capacitive coupling to distant plungers.
Fig. 24 Charge diagram of a double quantum dot with a vanishing inter-dot capacitance but non-zero coupling to distant plungers, also referred to as cross-talk between gates.
For double quantum dots, the two general conditions of transport to occurs is given by (8) and result in charge degeneracy points called triple points. We here assume that the voltage difference between source and drain is infinitesimal and thus negligible in our derivation. Triple points come in two flavours, which are often viewed as hole and electron transfer processes and illustrated in Fig. 22. The lower left triple point can be viewed as electrons tunnelling counter-clockwise, while the upper right as a hole tunnelling clockwise. In this picture, the double dot system cycles through the following charge states voltage combinations:
The dimensions and shape of the honeycomb cells depend on the strength of the capacitive coupling between dots and gates. Fig. 23 shows a diagram of a system where each plunger tunes a single dot only. This is sometimes referred to as a system with no cross-capacitances, meaning that the capacitive coupling between dots and distant gates is negligible. Fig. 24 shows a more realistic scenario, where both plunger gates are coupled to each dot, resulting in inclined charge transitions. In both of these examples, the inter-dot capacitance is negligible, which results in a vanishing spacing between triple points.
Fig. 25 Honeycomb pattern with relevant voltage spacings. The geometry of a honeycomb cell is directly related to the capacity coupling between dots and gates.
Let us assume the reservoirs’ electrochemical potentials to be zero and that
one varies a single voltage
Using the expression of the electrochemical potential in (7), we can relate distances in voltage space to capacitive couplings between dots and gates. Specifically, we obtain that
As a concrete example, the double-dot system’s two plunger gate voltages
The voltage spacings are related to the dot-gate capacitances by
and illustrated in Fig. 25. These relations allow to
determine two entries of the capacitance matrix
Again, using (7), we are able to relate capacitances to voltage spacings as follows,
In our specific double-dot case with all fixed voltages omitted, we obtain
such that
Note that these equations are the same as in Ref.[vanderWiel]_, but with
Note on synthetic data
The model described above was used to generate one part of the synthetic dataset used in Darulova et al. 2021. The general problem with synthetic data or simple models such as the one above is that their ability to reproduce real device behavior is limited. Here fro example, only two out of many possible double dot states are covered. The situation is better for single dots as they are a lot simpler and diagonal lines is (almost) all there is for good versions of this regime. The biggest shortcoming of the model is that it only generates well-defined dots, without a suitable way to reproduce ‘poor’ regimes or regimes where the dots are not well defined. They don’t allow to test tuning sequences aiming to tune away from poor or no-dot regimes. What the current implementation does allow however, is to sweep arbitrary gates of an N-dot system. It thus reproduces gate cross-talk, which manifests itself in the shift of transport features if gate voltages of a nearby gate is changed.