Claude-skill-registry 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.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/dqmc-advanced" ~/.claude/skills/majiayu000-claude-skill-registry-dqmc-advanced && rm -rf "$T"

manifest: skills/data/dqmc-advanced/SKILL.md

Advanced Topics

Unequal-Time Measurements

Enable by setting

period_uneqlt > 0

during file generation:

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:

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