Mapper Library

This module provides efficient implementations of commonly used operator representation mapper routines.

Python wrappers

The functions below are thin, type-agnostic convenience mappers. Each delegates to the appropriate library implementation below under the hood, based on the type of the object it is given. They do not implement any conversion logic themselves.

コラム「 1 」	コラム「 2 」
`fermion_operator`(operator)	Converts an operator into a `FermionOperator`.
`jordan_wigner`(operator, num_qubits)	Map an operator to a `SparseObservable` under the Jordan-Wigner transformation.
`majorana_operator`(operator)	Converts an operator into a `MajoranaOperator`.
`ternary_tree`(operator, encoding, num_qubits)	Map an operator to a `SparseObservable` under a ternary-tree encoding.

Library implementations

The functions below are the native, efficient mapper implementations backing this module.

コラム「 1 」	コラム「 2 」
`fermion_jordan_wigner`(op, num_qubits)	Map a `FermionOperator` to a `SparseObservable` under the Jordan-Wigner transformation.
`majorana_jordan_wigner`(op, num_qubits)	Map a `MajoranaOperator` to a `SparseObservable` under the Jordan-Wigner transformation.
`edge_vertex_jordan_wigner`(op, num_qubits)	Map an `EdgeVertexOperator` to a `SparseObservable` under the Jordan-Wigner transformation.
`transfer_vertex_jordan_wigner`(op, num_qubits)	Map a `TransferVertexOperator` to a `SparseObservable` under the Jordan-Wigner transformation.
`fermion_to_majorana`(fer_op)	Map a `FermionOperator` to a `MajoranaOperator`.
`majorana_to_fermion`(maj_op)	Map a `MajoranaOperator` to a `FermionOperator`.
`edge_vertex_to_fermion`(inter_op)	Map an `EdgeVertexOperator` to a `FermionOperator`.
`edge_vertex_to_majorana`(inter_op)	Map an `EdgeVertexOperator` to a `MajoranaOperator`.
`transfer_vertex_to_fermion`(inter_op)	Map a `TransferVertexOperator` to a `FermionOperator`.
`transfer_vertex_to_majorana`(inter_op)	Map a `TransferVertexOperator` to a `MajoranaOperator`.
`transfer_vertex_to_edge_vertex`(inter_op)	Map a `TransferVertexOperator` to an `EdgeVertexOperator`.

Ternary-tree encodings

These map an operator through a ternary-tree encoding, which is built with TernaryTree and TernaryTreeEncoding from the mappers framework module. Compile a tree once and reuse the encoding across every operator mapped through it. The type-agnostic ternary_tree() wrapper dispatches to these.

コラム「 1 」	コラム「 2 」
`fermion_ternary_tree`(op, encoding, num_qubits)	Map a `FermionOperator` to a `SparseObservable` under a ternary-tree encoding.
`majorana_ternary_tree`(op, encoding, num_qubits)	Map a `MajoranaOperator` to a `SparseObservable` under a ternary-tree encoding.
`edge_vertex_ternary_tree`(op, encoding, ...)	Map an `EdgeVertexOperator` to a `SparseObservable` under a ternary-tree encoding.
`transfer_vertex_ternary_tree`(op, encoding, ...)	Map a `TransferVertexOperator` to a `SparseObservable` under a ternary-tree encoding.

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