Quantum-Algorithms

A collection of fundamental quantum algorithms, written to be understood and compared with their classical counterparts, plus a starting setup for research-level work on quantum algorithms.

What is here

• Two tracks. Python with Qiskit for circuits, simulators and hardware, and C++ with Armadillo for fast linear algebra.

• Classical baselines. Each algorithm is meant to sit next to the best simple classical method for the same problem, so the comparison is concrete.

• Reproducible experiments. Code is code, experiments are data: every run is described by a YAML file rather than numbers edited into source. See Configuration with YAML.

Getting started

Setup is a single command on macOS and Linux:

./install.sh
conda activate qalgos

The pages below cover the details, step by step.

Getting started

• Python setup (Qiskit)
• Miniconda tutorial
• C++ setup (Qiskit C++ and Armadillo)

IBM setup

• IBM Quantum account and Open Plan
• Credentials and first connection
• Check your setup and list QPUs

Algorithms

• Algorithms
  • Hidden Subgroup Problem (HSP)

Concepts

• Configuration with YAML