GHZ
Entanglement fidelity and distribution quality.
Scientific computing and quantum software
Quantum Backend Bench
Backend-agnostic benchmarking for local quantum circuit simulators, with standardized runtime, structure, and distribution metrics across reusable benchmark definitions.
Benchmark suite
Reusable circuits and metrics
Run common quantum algorithm workloads against multiple local simulator adapters and compare standardized outputs.
QFT
Structured depth and runtime comparisons.
Bernstein-Vazirani
Oracle recovery across backend adapters.
Deutsch-Jozsa
Balanced and constant oracle behaviour.
Random Circuit
Seeded synthetic circuits for scaling studies.
Quantum Volume
Square model circuits for simulator stress tests.
Grover
Marked-state amplification checks.
QAOA MaxCut
Parameterized optimization-style circuits.
Hamiltonian Simulation
Trotterized dynamics benchmarks.
Noise Sensitivity
Quality curves under injected depolarizing noise.
Backend support
Local SDK coverage
The package keeps execution local and treats cloud-backed providers as out of scope for reproducible benchmark runs.
Cirq
Local circuit simulation with depolarizing-noise support.
PennyLane
default.qubit and default.mixed local device workflows.
Braket
Amazon Braket LocalSimulator adapter for offline execution.
Qiskit Aer
AerSimulator execution and noise-injection coverage.
CUDA-Q
Optional local CUDA-Q simulator adapter.
pyQuil
Local QVM and quilc integration when runtimes are available.
QuTiP
Statevector simulation for physics-oriented local coverage.
pytket
Analysis-only circuit depth and gate metric support.
Reference material
Documentation
Guides are generated from the Markdown sources tracked in this repository, with the same visual language as the main portfolio.
Usage
CLI and Python API workflows.
Results
Reference benchmark outputs, plots, and reproduction commands.
Theory
Benchmark and simulator background.
Methodology
Measurement design and interpretation.
Problem
Research motivation and scope.
Schema
Result and manifest schemas.
Limitations
Known boundaries and caveats.
Changelog
Release notes and project history.
Install
Use the package from PyPI or source
Install quantum-backend-bench for the CLI and Python API, then
add simulator extras as needed.