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Experiment | Qubits | Ansatz | Depth | Year |
---|---|---|---|---|

Supremacy [Mor+23] | 70 | HEA | 24 | 2023 |

Adversarial learning [Ren+22] | 10 | QNN¹ | up to 60 | 2022 |

QAOA [HS+2021] | 23 | Split operator | 4 | 2021 |

High energy model [BS+2021] | 2 | Checkerboard | 3 | 2021 |

Supervised learning [Hav+19] | 2 | HEA | 4 | 2019 |

Lattice model [2019Natur.569..355K] | 20 | Split operator | 6 | 2019 |

Chemistry [2017Natur.549..242K] | 6 | HEA | 1 | 2017 |

¹ A single layer of the QNN circuit can be expressed as a product from m=1 to p of [[a product from k=1 to L of [a product from j=1 to n of R_x^(k) (d_f(j,k,m) + θ_j) and a product from j=n to 2n of R_z^(k) (d_f(j,k,m) + θ_j)] and a product from i=1 to n of CN_i,i+1]]. Here, d_l is the l-th component of a N dimensional input data with N = 2nLp and f(j,k,m) = j+2kn+2mLn.

Sure, I have reorganized the table as per your request. Here it is:

Experiment | Ansatz | Qubits (N) | Depth (q) | N • q | Year |
---|---|---|---|---|---|

Supremacy [Mor+23] | HEA | 70 | 24 | 1680 | 2023 |

Adversarial learning [Ren+22] | QNN¹ | 10 | up to 60 | up to 600 | 2022 |

QAOA [HS+2021] | Split operator | 23 | 4 | 92 | 2021 |

High energy model [BS+2021] | Checkerboard | 2 | 3 | 6 | 2021 |

Supervised learning [Hav+19] | HEA | 2 | 4 | 8 | 2019 |

Lattice model [2019Natur.569..355K] | Split operator | 20 | 6 | 120 | 2019 |

Chemistry [2017Natur.549..242K] | HEA | 6 | 1 | 6 | 2017 |

¹ A single layer of the QNN circuit can be expressed as a product from m=1 to p of [[a product from k=1 to L of [a product from j=1 to n of R_x^(k) (d_f(j,k,m) + θ_j) and a product from j=n to 2n of R_z^(k) (d_f(j,k,m) + θ_j)] and a product from i=1 to n of CN_i,i+1]]. Here, d_l is the l-th component of a N dimensional input data with N = 2nLp and f(j,k,m) = j+2kn+2mLn.

Sure, I have removed all the rows where the N • q value is less than 91:

Experiment | Ansatz | Qubits (N) | Depth (q) | N • q | Year |
---|---|---|---|---|---|

Supremacy [Mor+23] | HEA | 70 | 24 | 1680 | 2023 |

Adversarial learning [Ren+22] | QNN¹ | 10 | up to 60 | up to 600 | 2022 |

QAOA [HS+2021] | Split operator | 23 | 4 | 92 | 2021 |

Lattice model [2019Natur.569..355K] | Split operator | 20 | 6 | 120 | 2019 |

¹ A single layer of the QNN circuit can be expressed as a product from m=1 to p of [[a product from k=1 to L of [a product from j=1 to n of R_x^(k) (d_f(j,k,m) + θ_j) and a product from j=n to 2n of R_z^(k) (d_f(j,k,m) + θ_j)] and a product from i=1 to n of CN_i,i+1]]. Here, d_l is the l-th component of a N dimensional input data with N = 2nLp and f(j,k,m) = j+2kn+2mLn.