Skip to main content

expsolve

pip install expsolve

A PyTorch compatible Differentiable Numerical Algorithms package for computational quantum mechanics.

Includes time-propagators based on splitting and composition methods, exponential integrators, Magnus expansion etc.

Current functionality is limited to Fourier discretisation in space.

Please see examples directory for tutorial notebooks.

Metadata

Release files for expsolve 0.1.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for expsolve 0.1.7
File Size Uploaded Provenance Actions
expsolve-0.1.7.tar.gz 38.1 MB Without provenance Details for expsolve-0.1.7.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for expsolve 0.1.7
File Interpreter ABI Platform Actions
expsolve-0.1.7-py3-none-any.whl Python 3 none any Details for expsolve-0.1.7-py3-none-any.whl

Total release size: 38.1 MB

Release files / expsolve-0.1.7.tar.gz

Download URL expsolve-0.1.7.tar.gz
Size 38.1 MB
Tags Source
SHA-256 checksum
How to use checksums
b57ed8dad72c3c5058ea4cb5b74b4952b11bea540c79742d99e469ddcfb58709
BLAKE2b-256 checksum
How to use checksums
a07cd46eebab7a226659f7f5e1c214bde2d5fb477338762d4b8c8b28a9332807
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.5

Release files / expsolve-0.1.7-py3-none-any.whl

Download URL expsolve-0.1.7-py3-none-any.whl
Size 18.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7e600f5b41759c0e02f3501b86473888c718f4ec7d62d5aa030de8a305140964
BLAKE2b-256 checksum
How to use checksums
e79d1f8da110d041c80196ba75b40e2de56d0301382fd0b792cd0ecd6758bb5b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.5

Security for expsolve 0.1.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page