Capacitively Coupled Charge Qubits

From Silicon Qubit Theory
Revision as of 15:56, 2 December 2014 by AdamFrees (talk | contribs) (→‎Numerical Simulations)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

This project started in the Fall of 2014, focusing on the operation of two or more charge qubits which are capacitively coupled. Current PDF Summary can be found File:Capacitively Coupled Qubits.pdf

General Formulation

 
Energy levels of the 2 qubit system as a function of both detunings.

For a single charge qubit, the Hamiltonian is

 

We will refer to   and   as the detuning and tunnel coupling of qubit  , respectively.

We can further write down the full Hamiltonian explicitly:

 

where   is the capacitive coupling between the qubits.

Sweet Spots

A major issue with charge qubits is that they are very susceptible to charge noise, which occurs when charge fluctuations outside the system induce undesired shifts in the parameters of the Hamiltonian. The goal of a sweet spot is to find a point in the parameter space where the energy levels are as invariant to the shifts as possible.

First Order Detuning Noise

The most dominant noise source is due to the shifts in the detuning. It is believed that the only point at which the first order dependence on the detunings disappears is at  . This has been confirmed analytically in the limit of small  , and no exceptions have been observed numerically.

Second Order Detuning Noise

For  , we have the following energy levels:

 

 

 

 

which to second order in   are:

 
Energy gap between 01 and 10 states as a function of both detunings. Here,  , , and  , so the gap is invariant to second-order fluctuations in  .

 

 

 

 

The second order terms cannot be tuned such that all gaps are invariant to second order noise. However,   can be tuned such that some of the transitions become invariant to some of the second order detuning shifts. To make the transition between   and   flat with respect to second order fluctuations in  , we can set

 

Unfortunately, none of the other transitions can be made to be invariant to second order fluctuations in  . Also, If we wish to make this transition invariant to all second order detuning fluctuations, we must set  , making  .

Tunnel Coupling and Capacitive Coupling Noise

 
Energy gap between 01 and 10 states as a function of both detunings. Here,  . Although the second order effects of the detunings are non-zero, they are relatively small.

Assuming that we sit at the sweet spot  , the energies are relatively simple, so we can easily see the effect of noise on the other parameters.

State Energy Effect of   Effect of  
       
       
       
       

Note that if we want any of the transitions to be invariant to first-order fluctuations in tunnel coupling, we would need to set either   or   to zero or set  . The first change would make the energy levels degenerate, which must be avoided. If we set the tunnel couplings to be equal, it would be impossible to make any of the transitions invariant to second order effects in the detuning.

There is nothing we can do short of making the energy levels degenerate to make the transitions invariant with respect to first-order fluctuations in capacitive coupling. We could, however, make the coupling itself as stable as possible through manipulating the geometry of the system.

Rotations

Shifting to the Rotating Frame

After bringing the system adiabatically to the sweet spot  , we can apply an AC pulse to some of our parameters to induce a rotation within the system.

AC Pulse Resulting Matrix (Lab Basis) Resulting Matrix (Energy Basis)
     
     
     
     


where  ,  , and  ,  ,  , and   are all complicated functions of the parameters which are discussed below.

Based off of the rotation matrices in the energy basis, it's clear that the situation in which   fundamentally differs from the case in which  . Moreover, it can be seen that the case in which   yields diverging results (as some of the matrix elements feature a step function at this point). So in practice, it would be good to avoid this point. Writing the rotations explicitly for the two regimes:


AC Pulse Energy Basis ( ) Energy Basis ( )
     
     
     
     


We can further analyze these matrices by considering the effective rotations in the rotating frame for different applied frequencies, using the rotating wave approximation:


AC Pulse Rotating Frame ( ) Rotating Frame ( )
       
  Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle \frac{1}{4}\left( \begin{matrix} 0 & 0 & -A_2 & 0 \\ 0 & 0 & 0 & -A_2 \\ -A_2 & 0 & 0 & 0 \\ 0 & -A_2 & 0 & 0 \end{matrix}\right)}  
       
     
       
     
       
     

Constructing Logical Gates

We will assume in this section that we are in the regime  . The same gates can be determined in the other regime as well.

  •   gate (  on qubit 1)
    1. Wait for a time   (always on)
  •   gate (  on qubit 2)
    1. Wait for a time   (always on)
  •   gate (  on qubit 1)
    1. Pulse   at a frequency of   for a time  
  •   gate (  on qubit 2)
    1. Pulse   at a frequency of   for a time  
  •   gate (  with qubit 1 as control)
    1. Pulse   at a frequency of   for a time  
    2. Pulse   at a frequency of   for a time  
  •   gate (  with qubit 2 as control)
    1. Pulse   at a frequency of   for a time  
    2. Pulse   at a frequency of   for a time  
  •  
    1. Pulse either   or   at a frequency of   for a time  

Notes on Logical Operating Points

Here we discuss the values of  ,  ,  , and  . Analytical expressions can and have been found for these quantities, but they yield little intuition about their nature.

 

Above is a graph of the 4 values as a function of  . If we wish to consider the regime in which   as above, we should consider the part of the graph to the right of the black dotted line.

A few qualitative statements can be made about the logical gates based off of this graph. First, it is clear that the   gate will always be faster than the   gate. A feature of concern is the behavior of  , namely that it tends towards zero, as this increases the time for the   gate.

Numerical Simulations

 
Animation of the density matrix during the application of the X1 gate
 
Animation of the density matrix during the application of the X2 gate

Using the QuTiP package, we can simulate the Master Equation for the system in question. First, we can verify the gates that we proposed under ideal conditions. Below are pictures of the density matrix as it undergoes pulses that we have predicted to correspond to X1 and X2 gates. Note that the behavior of the density matrix matches what we would expect.

Animations of these transformations can be found on the right.

Issues with CNOT gate: