transpilation Module

The pyqpanda3.transpilation module provides circuit transpilation, topology generation, and gate decomposition utilities. It maps logical quantum circuits onto physical hardware topologies, optimizes gate sequences, and decomposes high-level operations into native gate sets.

Overview

Transpilation is the process of transforming an abstract quantum program so that it can be executed on a specific quantum device. This module provides three core capabilities:

• Topology generation -- Create connectivity graphs that describe the physical coupling map of a quantum chip.
• Transpilation -- Map virtual qubits to physical qubits, insert SWAP gates for routing, translate gates into the device's native gate set, and apply circuit optimizations.
• Decomposition -- Break down composite quantum operations (QProg, QCircuit, or unitary matrices) into a target set of basic gates.

A typical workflow first generates or obtains a chip topology, then constructs a Transpiler and calls transpile() to produce a hardware-compatible program. The decompose() function can be used independently to rewrite a circuit in terms of a specific gate basis.

This module also exports ChipBackend, a data class that encapsulates chip topology, supported gates, timing information, and other hardware properties for use with the transpile() backend overload.

Sub-topics

Topic	Description
Transpiler	Transpiler class with transpile() overloads for topology-aware circuit mapping
Topology	generate_topology() function for creating chip connectivity graphs
Decompose	decompose() overloads for QProg, QCircuit, and matrix decomposition