Group meeting 11.03.25

Holidays in India

Noise characterization of QFT schemes

Short recall on the QFT

The family of gates

\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}

The family of gates

\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}
\begin{bmatrix} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & e^{i\theta} \end{bmatrix}

The family of gates

The family of gates

\begin{bmatrix} 1 & 0 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 \end{bmatrix}

Scheme for the full algorithm

Scheme for the full algorithm

\text{Total of }n + n(n-1)/2 +\lfloor n/2\rfloor \propto n^2

Improving the resilience to unitary noise

Prosen et al. (2001)

The initial idea

\text{Theoretical limit of }\chi = \sum_{t,t'} C(t,t') \propto n^2
U_\delta = Ue^{-i\delta V}

The initial idea

The initial idea

\chi \propto n^3

Replacing the 'bad gate'

[R_{jk},C_{\phi(jk)}]=0
R_{jk}^\dagger R_{jk}=1
\text{Tr}(R_{jk})=0
\begin{bmatrix} 0 & 0 & -1 & 0 \\ 0 & 1 & 0 & 0 \\ 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & -1 \end{bmatrix}

Replacing

C_{\phi(01)}C_{\phi(02)}C_{\phi(03)}
R_{01}R_{02}R_{03}R_{01}^\dagger C_{\phi(01)}R_{02}^\dagger C_{\phi(02)}R_{03}^\dagger C_{\phi(03)}

Replacing

C_{\phi(01)}C_{\phi(02)}C_{\phi(03)}
R_{01}R_{02}R_{03}G_{01}G_{02}G_{03}

Death of the correlations

Suppression of the cubic term

3 different avenues

3 different avenues

  • Transition between regimes with dissipative noise

Kraus noise

\mathcal{E}(\rho) = \sum_i K_i \rho K_i^{\dagger}
\sum_i K_i^{\dagger} K_i = I

Which algorithm to chose

3 different avenues

  • Transition between regimes with dissipative noise
  • What other noise models show a cubic term we would benefit to suppress ?

Original model

Other models

Original model

\sim
\sim
\sim

A model that works

Local one body

3 different avenues

  • Transition between regimes with dissipative noise
  • What other noise models show a cubic term we would benefit to suppress ?
  • What more can we learn about the Kraus noise ?

Kraus noise

\mathcal{F}\sim \frac{f(\epsilon)}{2^L} - \delta T \left(1-\frac{1}{2^L}\right)
  • First order dependency
  • Rank independence of the first two moments of the fidelity

What to do next :

  • Refine the contour plots and push the size slightly (11-12 qubits max)
  • Investigate the 'approximately identical noise' models
  • Find a good way to look at the spectra analysis
  • Get further in terms of analytical results for the Kraus noise

What to do next :

  • Refine the contour plots and push the size slightly (11-12 qubits max)
  • Investigate the 'approximately identical noise' models
  • Find a good way to look at the spectra analysis
  • Get further in terms of analytical results for the Kraus noise

Thank you for your time !

iQFT

By Julien Bréhier