tensorcircuit.templates.blocks#

Shortcuts for measurement patterns on circuit

tensorcircuit.templates.blocks.Bell_pair_block(c: Any, links: Optional[Sequence[Tuple[int, int]]] = None) → Any[源代码]#

For each pair in links, the input product state |00> is transformed as (01>-|10>)

参数

  • c (Circuit) -- Circuit in

  • links (Optional[Sequence[Tuple[int, int]]], optional) -- pairs indices for Bell pairs, defaults to None, corresponds to neighbor links

返回

Circuit out

返回类型

Circuit

tensorcircuit.templates.blocks.Grid2D_entangling(c: Any, coord: tensorcircuit.templates.graphs.Grid2DCoord, unitary: Any, params: Any, **kws: Any) → Any[源代码]#
tensorcircuit.templates.blocks.QAOA_block(c: Any, g: Any, paramzz: Any, paramx: Any, **kws: Any) → Any[源代码]#
tensorcircuit.templates.blocks.example_block(c: Any, param: Any, nlayers: int = 2, is_split: bool = False) → Any[源代码]#

The circuit ansatz is firstly one layer of Hadamard gates and then we have nlayers blocks of \(e^{i\theta Z_iZ_{i+1}}\) two-qubit gate in ladder layout, following rx gate.

参数

  • c (Circuit) -- The circuit

  • param (Tensor) -- paramter tensor with 2*nlayer*n elements

  • nlayers (int, optional) -- number of ZZ+RX blocks, defaults to 2

  • is_split (bool, optional) -- whether use SVD split to reduce ZZ gate bond dimension, defaults to False

返回

The circuit with example ansatz attached

返回类型

Circuit

tensorcircuit.templates.blocks.qft(c: Any, *index: int, do_swaps: bool = True, inverse: bool = False, insert_barriers: bool = False) → Any[源代码]#

This function applies quantum fourier transformation (QFT) to the selected circuit lines

参数

  • c (Circuit) -- Circuit in

  • *index --

    the indices of the circuit lines to apply QFT

  • do_swaps (bool) -- Whether to include the final swaps in the QFT

  • inverse (bool) -- If True, the inverse Fourier transform is constructed

  • insert_barriers (bool) -- If True, barriers are inserted as visualization improvement

返回

Circuit c

返回类型

Circuit

tensorcircuit.templates.blocks.state_centric(f: Callable[[...], Any]) → Callable[[...], Any][源代码]#

Function decorator wraps the function with the first input and output in the format of circuit, the wrapped function has the first input and the output as the state tensor.

参数

f (Callable[..., Circuit]) -- Function with the fist input and the output as Circuit object.

返回

Wrapped function with the first input and the output as the state tensor correspondingly.

返回类型

Callable[..., Tensor]