v2.0 - QECops

What's Changed

• VERSION 2!! by @JitheshMithra in #14

Full Changelog: v1.2.3...v2.0

Noise models:

• Added depolarizing noise; symmetric X/Y/Z errors with effective_p = 2p/3
• Added biased noise; asymmetric X and Z error rates via separate px and pz parameters
• Added correlated noise; spatially propagating errors with configurable correlation strength
• Bitflip remains the baseline and analytical validation reference

Threshold analysis:

• Added pseudo-threshold estimation via LER curve crossing detection
• Added bootstrap confidence intervals on threshold estimates — quantified uncertainty rather than point estimates only
• Added threshold scaling summary — checks whether larger code distance suppresses errors at each p value
• Added --showthresholds flag to mark threshold crossings on plots

Parameter sweeps:

• Added --sweepparam flag; sweep px, pz, or correlation instead of just p
• Added --noise flag; select noise model from CLI
• Added --px, --pz, --correlation, --fixedp arguments for noise model configuration
• Added --bootstrap, --nbootstrap, --confidence flags for CI computation

Plots and export:

• Added threshold plot mode alongside existing validation plot mode
• Added --logscale flag for log scale y-axis
• Added CSV export
• Added JSON export including threshold estimates and scaling summary
• Added --export flag to select format
• Interactive HTML plot now included in every run
• Results saved to timestamped directories

Code quality:

• Added docstrings to all major functions
• Added relative error analysis function
• Added input validation throughout noise and decode modules
• Separated noise models into dedicated functions with individual validation

Limitations documented:

• Phenomenological noise only; no circuit-level noise
• Shared seed across p sweep; not per-p independent
• Repetition code and majority vote decoder only

v1.2.3 - QECops

New DOI and badges

DOI: https://doi.org/10.5281/zenodo.19410366

Full Changelog: v1.2.2...v1.2.3

v.1.2.2 - QECops

Remove fluff from README

v1.2.1 - QECops

Added new plot to ExampleResult.png

v.1.2 - QECops

Updates/Patches:

• Renamed the repository for uniqueness and clarity.
• Includes new error analysis sub-plot (log-scaled) that calculates |Monte Carlo-Analytical| for quantitative grounding and backup
• Added Analytical curves based on binomial distribution for theoretical backing
• Updated README and Technical Report

What's Changed

• Add analytical binomial model and overlay with Monte Carlo simulation by @JitheshMithra in #4
• Rename QECsim to QECops for uniqueness and clarity by @JitheshMithra in #5
• Remove unwanted image by @JitheshMithra in #7
• Update plotting: added error subplot and validation improvements by @JitheshMithra in #8
• Newf by @JitheshMithra in #11

Full Changelog: v1.0.2.2...v.1.2

v1.0.2 - Quantum Error Correction Performance Simulation Under Explicit Noise Assumptions

Full Changelog: v1.0.2.1...v1.0.2.2

v1.0.1 - Quantum Error Correction Performance Simulation Under Explicit Noise Assumptions

Notes:

• Cleaned up imports for a more consistent module execution
• Clarified README for noise assumptions and simulator focus/scope
• Minor documentation improvements for installation and usage, including a PNG of example result
• No changes to simulation logic or results

v1.0 - Quantum Error Correction Performance Simulation Under Explicit Noise Assumptions

This release is a research-grade, baseline implementation code of a reproducible, open-source quantum error correction simulator.

Features:

• Independent bit-flip noise model
• Repetition code with majority-vote decoding
• Monte Carlo estimation model of logical error rate vs physical error rate
• Static PNG and interactive HTML plots
• Fully reproducible due to fixed random seeds

This version is meant to be minimal and transparent; a simple research tool showing how noise assumptions affect error correction performance.

Future versions will increase the types of noise models and analytical comparison methods, see README.md for more in-depth v2 plans.