Release v1.9.1: Fix RZ Gate Definition

• Pull in fix for cda-tum/dd_package#25
• Additional wheels for Python 3.10 and musllinux
• Source install of via pip or setup.py uses available cores and native optimizations

Release v1.9.0: Update Dependencies

• Bump version to 1.9.0
• Update QFR submodule to version 1.7.0
• Exclude files in test/ from counting towards line coverage
• Update cibuildwheel action to version 2.1.1 (builds CPython 3.10)
• Fixed a race condition in HybridSchrodingerFeynmanSimulator and elaborated the tests
• Relaxed the bounds in StochNoiseSimTest
• Fixed compiler warnings across multiple simulators

Release 1.8.0: New Qiskit Backends

• new hybrid_qasm_simulator and hybrid_statevector_simulator backends for Qiskit that expose the hybrid Schrödinger-Feynman decision diagram-based simulator proposed in https://arxiv.org/abs/2105.07045
• new unitary_simulator backend for Qiskit that exposes the efficient decision diagram-based methods for constructing functional representations of quantum algorithms proposed in https://arxiv.org/abs/2103.08281

Release v1.7.0: Use assembled QuantumCircuits in Backend

• Import assembled QasmQobjExperiment instead of QuantumCircuit (via QFR, thanks @burgholzer )
• Add unit tests to test python code
• Add jkq/* folder to clang-format checks
• Updated README.md
• Unified workflow for bindings (one workflow with conditional job to publish to PyPI)
• StatevectorSimulator now inherits from QasmSimulator and only sets some class variables (inpired by Qiskit's BasicAer)
• Properly handle barriers in CircuitSimulator (i.e., ignore them)

Update submodules

Update submodules to use the new sorted buckets feature in the DD_Package which increases the performance, especially for more complex circuits.

Hybrid Schrödinger-Feynman Simulation

This release adds capabilities for hybrid Schrödinger-Feynman simulation using decision diagrams based on the ideas outlined in:

[1] L. Burgholzer, H. Bauer, and R. Wille. "Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams". arXiv:2105.07045, 2021

In order to use the new simulator, call the ddsim_simple executable as follows

ddsim_simple --simulate_file_hybrid <FILE> --hybrid_mode amplitude --nthreads 4 --ps

where

• <FILE> specifies the circuit file to be simulated (the format is derived from the extension)
• --hybrid_mode specifies the mode to use, either amplitude (default) or dd
• --nthreads specifies the number of threads to use for the parallel simulation

v1.5.0: Python bindings for DDSIM (#21)

Python bindings for DDSIM and Provider/Backends for Qiskit

• Python bindings for standalone usage
• Provider and Backends for Qiskit
  • QasmSimulator for sampling
  • Statevectorsimulator to get the state vector
  • and more to follow :)

Noisy and Approximating Simulation

• Noisy+Approximating Simulation with new Package
• Refactor Noisy Simulation code
• Noise for multi target gates
• Use exceptions instead of std::exit
• Nicer JSON output with nlohmann lib
• More informatative exceptions
• Format fixes
• Ignore parts of file for format
• Added tests
• Updated README
• Updated LICENSE

Boost now optional

The dependency on Boost (program_options) is now optional and only required if you want to build the standalone simulation executable.