Verified research software for experimental quantum, condensed-matter and high-frequency physics.
This organization is the software home of Tanvir Mahmud Mahim (Department of Electrical and Electronic Engineering, BRAC University). Each repository is the general-purpose engine distilled from a research study: the physics that outlives the paper, packaged so an experimental group can drive it with their own measured numbers.
| Package | What it does |
|---|---|
| sqzcomb | Squeezed light in Kerr microcombs: from the field in the ring to the noise a detector on the output fiber reports. |
| cavsqueeze | Cavity-mediated spin squeezing for solid-state ensembles — a quadrillion spins as cheap as a thousand — plus estimation from measured shot records. |
| vacspin | Group-IV colour-centre spin-photon interfaces: strained spin Hamiltonians, cyclicity, Purcell budgets, exact single-shot readout. |
| sparq-triage | Single-photon-emitter verification: exact statistics for measured HBT data, sequential tests that stop early, machine-learning triage. |
| absnoise | Andreev-bound-state occupation noise and the sensitivity budgets of proximity Josephson detectors. |
| kpenvelope | Six-band k·p envelope solver for wurtzite heterostructures, self-consistent with the electrostatics of the hole gas. |
| ramansep | Strain, carrier density and temperature separated in Raman maps of 2D materials, with honest error bars. |
| hamop | One tight-binding Hamiltonian, every observable: bands, optics, topology, transport, magnetic fields — strictly consistent. |
| fabtwin | Learned fabrication-process twins and yield-aware inverse design of multilayer optics, with exact adjoint gradients. |
| fracpll | Charge-pump fractional-N PLL design from measured pieces: loop stability with validity refusals, exact MASH sequences and spectra, closed-loop phase noise and jitter, lock transients on measured tuning curves. |
| lockkernel | Exact thresholds, exponents and amplitudes of synchronization transitions from the locking kernel — and fits of measured synchronization branches with error bars. |
| labplan | Plan, fit, and certify calibrations of any user-supplied model: Fisher planning, D-optimal designs, conformal error bars, audit-ready records. NumPy only. |
Every package also carries a lab layer — plan a measurement before
taking it, know how many repeats a target error bar costs, and
calibrate from your own data with honest uncertainties. labplan
is that pattern extracted into a standalone engine that works with
any forward model you can write as a Python function.
Packages install from PyPI (pip install <name>), run on NumPy/SciPy
cores, and are archived release-by-release on Zenodo with citable
DOIs.
- No uncited constants. Every physical number carries its source,
and parameter containers refuse to exist without a
reference. - No unanchored claims. Every physics statement is pinned by a test to a closed form, a published measurement, or two independent code paths — never to a stored number.
- Honest refusals. Outside its regime of validity, or facing an unidentifiable problem, a tool refuses with an explanation instead of returning one of many possible answers.
Every repository takes questions and bug reports through its issue tracker; a docstring that left a unit or a convention unclear is treated as a documentation bug, not user error. Wrong-number reports are the most valuable issues research software can receive and are handled with priority.
Everything here is open source under Apache-2.0 and always will be. If these tools save your lab time and you would like to support their development, you can sponsor the work on Patreon — it funds the maintenance, the literature verification behind every shipped constant, and the test infrastructure that keeps the releases honest. Citing the tools in your publications (each repository carries citation metadata and a Zenodo DOI) helps just as much.
