USEL
USEL () is an open-source, CPU-only scientific computing framework focused on quantum physics simulations and numerical methods.
Version 1.0 establishes the mathematical and computational foundation — matrix and linear algebra utilities, numerical solvers, FFT-based frequency analysis, random number generation, configuration/IO/logging utilities, and a CLI — for future quantum mechanics, computational physics, and quantum information modules.
Features
- Runs efficiently on standard consumer hardware, no GPU required
- Operates within 8 GB RAM
- Cross-platform (Windows, Linux, macOS)
- Modular, extensible architecture
- Fully typed, PEP 8 compliant codebase
Installation
uv sync
uv run usel version
Or, for local development:
git clone https://github.com/usel/usel.git
cd usel
uv sync --group dev
See the examples directory for more, including eigenvalue solving, ODE integration, FFT analysis, and numerical integration.
Command Line Interface
uv run usel version
uv run usel doctor
uv run usel benchmark --size 200
uv run usel info
uv run usel config path/to/config.yaml
uv run usel test
Modules
| Module | Description |
|---|---|
usel.math |
Matrix creation, algebra, norms, FFT transforms |
usel.linalg |
Eigenvalues/vectors, SVD, QR, LU, Cholesky |
usel.solvers |
Root finding, ODE solvers, numerical integration |
usel.random |
Random matrices, vectors, and distributions |
usel.utils |
Timing, profiling, validation, precision control |
usel.logging |
Console/file loggers, performance logger |
usel.config |
YAML/JSON/TOML configuration loading |
usel.io |
CSV/JSON/NumPy binary/text file I/O |
usel.cli |
Command line interface |
Non-Goals (v1.0)
This release intentionally excludes the Schrödinger equation, quantum circuits/gates/qubits, machine learning, chemistry simulation, GPU/cloud computing, and AI integration. These are planned for future releases (see CHANGELOG.md and the roadmap below).
Roadmap
-
v1.0 — Schrödinger Module
- Non-relativistic quantum state evolution
- Grid, operator, and Hamiltonian construction
- Multiple time-evolution schemes (Crank-Nicolson, split-operator, RK4)
-
v2.0 — Dirac Equation Module
- Relativistic 1D Dirac equation solver
- Spinor algebra and Pauli/Dirac matrix library
- Matrix-exponential propagation
-
v3.0 — Maxwell Equation Module
- Electromagnetic field simulations
- Symbolic and numerical field solvers
-
v4.0 — Black-Scholes Module
- Analytical option pricing, Greeks, and put-call parity
- Implied volatility and Black-Scholes PDE solver
- Monte Carlo pricing with variance reduction
Still more planning is going on this.
Development
uv sync --group dev
uv run pytest
uv run ruff check .
uv run black --check .
uv run pytest --cov=./ --cov-report xml
Documentation
Full documentation is built with MkDocs:
uv run mkdocs serve
Contributing
Contributions are welcome! See CONTRIBUTING.md for guidelines.
Security
USEL performs no telemetry, no network communication, and no data collection. It is fully offline capable.
License
MIT — see LICENSE.
Metadata
Release files for usel 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| usel-1.0.7.tar.gz | 54.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| usel-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 131.7 kB
Release files / usel-1.0.7.tar.gz
| Download URL | usel-1.0.7.tar.gz |
|---|---|
| Size | 54.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | usel-1.0.7-py3-none-any.whl |
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| Size | 77.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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