HybridSuperQubits 0.10.1

Package to simulate hybrid superconducting qubits

HybridSuperQubits 🌀⚡

A Python framework for simulating hybrid semiconductor-superconductor quantum circuits.

Key Features ✨

• Hybrid Circuit Simulation 🔬
  Unified framework for semiconductor-superconductor systems.

• Advanced Noise Analysis 📉

  • Capacitive losses (t1_capacitive).
  • Inductive losses (t1_inductive).
  • Flux noise (tphi_1_over_f_flux).
  • Coherence Quantum Phase Slip (tphi_CQPS).

• Professional Visualization 📊

  • Wavefunction plotting (plot_wavefunction).
  • Matrix element analysis (plot_matelem_vs_paramvals).
  • Spectrum vs parameter sweeps.

• SC-Qubits Compatibility 🔄
  API-inspired interface for users familiar with scqubits

---

🚀 Installation

Recommended Installation (Apple Silicon M1/M2/M3)

For optimal performance on Apple Silicon Macs, install scientific dependencies via conda-forge:

# Option 1: Use the provided environment file
conda env create -f environment.yml
conda activate hybridsuperqubits

# Option 2: Manual conda installation
conda create -n hybridsuperqubits python>=3.9
conda activate hybridsuperqubits
conda install -c conda-forge numpy scipy matplotlib qutip scqubits
pip install -e . --no-deps

📖 Detailed Apple Silicon guide: INSTALL_APPLE_SILICON.md

Quick Installation (All Platforms)

pip install HybridSuperQubits[full]

⚠️ Note: On Apple Silicon, this may install unoptimized versions of scientific libraries.

Minimal Installation

pip install HybridSuperQubits
# Then manually install: numpy, scipy, matplotlib, qutip, scqubits

Development Installation

git clone https://github.com/joanjcaceres/HybridSuperQubits.git
cd HybridSuperQubits
pip install -e .[full]

---

Basic Usage 🚀

Supported Qubit Types

1. Andreev
2. Gatemon
3. Gatemonium
4. Fermionic bosonic qubit

Initialize a hybrid qubit

from HybridSuperQubits import Andreev, Gatemon, Gatemonium, Ferbo

# Fermionic-Bosonic Qubit (Ferbo)
qubit = Ferbo(
    Ec=1.2,          # Charging energy [GHz]
    El=0.8,          # Inductive energy [GHz]
    Gamma=5.0,       # Coupling strength [GHz]
    delta_Gamma=0.1, # Asymmetric coupling [GHz]
    er=0.05,         # Fermi detuning [GHz]
    phase=0.3,       # External phase (2 pi Φ/Φ₀)
    dimension=100    # Hilbert space dimension
)

# Andreev Pair Qubit
andreev_qubit = Andreev(
    EJ=15.0,        # Josephson energy [GHz]
    EC=0.5,         # Charging energy [GHz]
    delta=0.1,      # Superconducting gap [GHz]
    ng=0.0,         # Charge offset
    dimension=50
)

# Gatemonium
gatemonium = Gatemonium(
    EJ=10.0,        # Josephson energy [GHz]
    EC=1.2,         # Charging energy [GHz]
    ng=0.0,         # Charge offset
    dimension=100
)

Documentation 📚

Full API reference and theory background available at: hybridsuperqubits.readthedocs.io

Contributing 🤝

We welcome contributions! Please see:

CONTRIBUTING.md for development guidelines

License

This project is licensed under the MIT License. However, it includes portions of code derived from scqubits, which is licensed under the BSD 3-Clause License.

For more details, please refer to the LICENSE file.

📖 Citation

If you use this software in your research, please cite it using the following BibTeX entry

@software{joan_j_caceres_2025_15315785,
  author       = {Joan J. Cáceres},
  title        = {joanjcaceres/HybridSuperQubits},
  month        = may,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {v0.8.2},
  doi          = {10.5281/zenodo.15315785},
  url          = {https://doi.org/10.5281/zenodo.15315785},
}

or using the Citation tool at HybridSuperQubits' Zenodo