Overview
This page summarizes the guides that are available in addition to the extensive API documentation of this package.
These guides might refer to specific Python modules when explaining core concepts. Unless otherwise stated, the C API provides matching functionality, although it is not structured into modules. However, the function names correspond naturally and should be easy to navigate.
To get started with the breadth of features this package supports, check out these end-to-end guides:
The following sections outline additional guides that dive into more specific topics in detail.
Operators and their structure
Fermionic operators can be represented in different forms and you can map between these forms as well as qubit operators using different mappers. Start here if you are building a Hamiltonian.
- Design principles of operator representations
- Group operator terms: use the operator structure
- Map operator representations
Fermionic circuits
You can express circuits directly on the fermionic level rather than mapping to qubits first.
Circuit examples
These guides provide you with concrete examples for different specific use cases:
Chemistry
Lattice models
Transpiling fermionic circuits
Guides explaining how a FermionicCircuit becomes a QuantumCircuit.
- Transpile fermionic circuits
- Synthesize an Evolution gate in fermionic space
- Optimize Slater determinant preparation
- Transpile an LUCJ ansatz
Relationship to other packages
How qiskit-fermions divides the work with the other tools of the ecosystem.