OQTOPUS Experiments

A modular quantum computing experiment library for the OQTOPUS platform.

Installation

pip install git+https://github.com/orangekame3/oqtopus-experiments.git

Usage

Quick Start

from oqtopus_experiments.backends import LocalBackend, OqtopusBackend
from oqtopus_experiments.experiments import Rabi

# Choose backend
backend = OqtopusBackend(device="anemone") # Real hardware (OQTOPUS)
# backend = OqtopusBackend(device="qulacs") # Noiseless simulation
# backend = LocalBackend(device="noisy")  # Noisy simulation

# Create experiment
exp = Rabi(
    experiment_name="rabi_experiment",
    physical_qubit=0,
    amplitude_points=20,
    max_amplitude=2.0,
)

# Run and analyze
result = exp.run(backend=backend, shots=1000)
df = result.analyze(plot=True, save_data=True, save_image=True)
print(df.head())

Available Experiments

• Rabi: Rabi oscillation measurements for qubit calibration
• T1: Relaxation time measurements
• T2 Echo: Coherence time measurements using echo sequences
• CHSH: Bell inequality tests for quantum entanglement
• Ramsey: Ramsey interference for precise frequency measurements
• Parity Oscillation: GHZ state decoherence studies

Backends

• OqtopusBackend(): Run on real quantum hardware via OQTOPUS platform
• OqtopusBackend(device="qulacs"): Fast noiseless simulation
• LocalBackend(device="noisy"): Realistic noisy simulation using Qiskit Aer

Examples

See docs/examples/ for comprehensive examples:

# Real hardware
python docs/examples/qpu/rabi.py

# Noiseless simulation (OQTOPUS with qulacs)
python docs/examples/qulacs/rabi.py

# Noisy simulation
python docs/examples/local/rabi.py

Each experiment supports parallel execution, automatic data analysis, and visualization.

Requirements

• Python 3.12+
• OQTOPUS account and credentials (for real hardware)
• Quantum simulators: Qulacs, Qiskit

License

Apache License 2.0