# Dqmc Advanced

> Advanced DQMC features including unequal-time measurements, analytic continuation, and queue system internals. Use when enabling dynamical correlations, performing MaxEnt continuation, or understanding HDF5 data structure.

- Skill: `majiayu000/dqmc-advanced` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/dqmc-advanced`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/dqmc-advanced/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/dqmc-advanced

---


# Advanced Topics

## Unequal-Time Measurements

Enable by setting `period_uneqlt > 0` during file generation:

```bash
dqmc-util gen period_uneqlt=8 ...
```

Required for:
- `nnrw0`, `zzrw0` - Zero-frequency susceptibilities
- `dwq0t` - D-wave pair susceptibility
- Any time-dependent correlation functions

**Note:** Unequal-time measurements significantly increase runtime and memory usage.

## Analytic Continuation

Use maximum entropy for continuing imaginary-time data to real frequencies:

```python
from dqmc_util import maxent

# Solve G = K A given:
# - G: binned data, shape (nbin, ntau)
# - K: kernel, shape (ntau, nw)
# - m: default model, shape (nw,)
A_omega = maxent.calc_A(G, K, m)
```

## HDF5 File Structure

```
/metadata/     # Model info (mu, Nx, Ny, beta)
/params/       # Simulation parameters, precomputed matrices
/state/        # RNG state, sweep number, aux field config
/meas_eqlt/    # Equal-time measurements (n_sample, sign, den, ...)
/meas_uneqlt/  # Unequal-time measurements (optional)
```

## Queue System Internals

The sharded queue uses:
- 128 shards to avoid lock contention on distributed filesystems
- Atomic `rename()` operations for task claiming
- Symlinks moved: `todo/` -> `running/` -> `done/`
- Checkpointed jobs returned to `todo/` for resumption