How do I install the Dqmc Generate skill?

Run npx skillmds@latest add majiayu000/dqmc-generate in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Dqmc Generate safe to use?

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Which AI agents work with Dqmc Generate?

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Is Dqmc Generate free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dqmc Generate?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dqmc Generate by majiayu000 — Agent Skill

Name: Dqmc Generate
Rating: 4.2 (5 reviews)
Author: majiayu000

Dqmc Generate

Create HDF5 simulation files for DQMC with specified physical parameters. Use when setting up new simulations, specifying lattice size, interaction strength U, chemical potential mu, temperature (via dt and L), or number of Monte Carlo sweeps.

majiayu000 Updated Sep 9, 2026 567 repo stars

File contents

Generate Simulation Files

Inputs

Input	Required	Default	Description
`Nx`, `Ny`	No	8	Lattice dimensions
`U`	No	6.0	On-site interaction strength
`mu`	No	0.0	Chemical potential
`tp`	No	0.0	Next-nearest neighbor hopping
`dt`	No	0.1	Imaginary time step
`L`	No	40	Number of time slices (beta = L*dt)
`n_sweep_warm`	No	200	Warmup sweeps
`n_sweep_meas`	No	2000	Measurement sweeps
`Nfiles`	No	1	Number of independent bins
`prefix`	No	`sim`	Output path prefix
`period_uneqlt`	No	0	Unequal-time period (0=disabled)

Outputs

{prefix}_0.h5, {prefix}_1.h5, ... - HDF5 simulation files
{prefix}.h5.params - common params HDF5 file

Procedure

Option A: CLI (simple cases)

dqmc-util gen Nx=6 Ny=6 U=4.0 mu=0.0 dt=0.1 L=50 Nfiles=4 prefix=data/run/bin

Option B: Python (parameter scans)

from dqmc_util import gen_1band_hub

gen_1band_hub.create_batch(
    prefix="data/run/bin", Nfiles=4,
    Nx=6, Ny=6, U=4.0, mu=0.0, tp=0.0, dt=0.1, L=50
)

Choosing dt and L for a target temperature T:

import numpy as np
T = 0.25  # target temperature
U = 4.0
beta = 1.0 / T
dt = min((0.05/U)**0.5, beta / 10)  # Trotter error constraint
L = int(np.ceil(beta / dt / 5) * 5)  # L must be divisible by n_matmul and period_eqlt (defaults: 5)
dt = beta / L  # recalculate exact dt

Validation

Files created: ls {prefix}_*.h5 {prefix}.h5.params
Trotter error check: U * dt^2 <= 0.05

Failure Modes

Symptom	Cause	Recovery
"File exists" error	Previous files not cleaned	Remove old files or use overwrite=1 argument
ValueError: L must be divisible ...	L must be multiple of n_matmul and period_eqlt	Adjust value of L and dt, keeping their product (beta) constant

Do Not

Overwrite existing simulation files without confirmation
Ignore the Trotter error bound (U * dt^2 <= 0.05)

---name: dqmc-generatedescription: Create HDF5 simulation files for DQMC with specified physical parameters. Use when setting up new simulations, specifying lattice size, interaction strength U, chemical potential mu, temperature (via dt and L), or number of Monte Carlo sweeps.--- # Generate Simulation Files ## Inputs | Input | Required | Default | Description | |-------|----------|---------|-------------| | `Nx`, `Ny` | No | 8 | Lattice dimensions | | `U` | No | 6.0 | On-site interaction strength | | `mu` | No | 0.0 | Chemical potential | | `tp` | No | 0.0 | Next-nearest neighbor hopping | | `dt` | No | 0.1 | Imaginary time step | | `L` | No | 40 | Number of time slices (beta = L*dt) | | `n_sweep_warm` | No | 200 | Warmup sweeps | | `n_sweep_meas` | No | 2000 | Measurement sweeps | | `Nfiles` | No | 1 | Number of independent bins | | `prefix` | No | `sim` | Output path prefix | | `period_uneqlt` | No | 0 | Unequal-time period (0=disabled) | ## Outputs - `{prefix}_0.h5`, `{prefix}_1.h5`, ... - HDF5 simulation files - `{prefix}.h5.params` - common params HDF5 file ## Procedure **Option A: CLI (simple cases)** ```bash dqmc-util gen Nx=6 Ny=6 U=4.0 mu=0.0 dt=0.1 L=50 Nfiles=4 prefix=data/run/bin ``` **Option B: Python (parameter scans)** ```python from dqmc_util import gen_1band_hub gen_1band_hub.create_batch( prefix="data/run/bin", Nfiles=4, Nx=6, Ny=6, U=4.0, mu=0.0, tp=0.0, dt=0.1, L=50 ) ``` **Choosing dt and L for a target temperature T:** ```python import numpy as np T = 0.25 # target temperature U = 4.0 beta = 1.0 / T dt = min((0.05/U)**0.5, beta / 10) # Trotter error constraint L = int(np.ceil(beta / dt / 5) * 5) # L must be divisible by n_matmul and period_eqlt (defaults: 5) dt = beta / L # recalculate exact dt ``` ## Validation - [ ] Files created: `ls {prefix}_*.h5 {prefix}.h5.params` - [ ] Trotter error check: `U * dt^2 <= 0.05` ## Failure Modes | Symptom | Cause | Recovery | |---------|-------|----------| | "File exists" error | Previous files not cleaned | Remove old files or use overwrite=1 argument | | ValueError: L must be divisible ... | L must be multiple of n_matmul and period_eqlt | Adjust value of L and dt, keeping their product (beta) constant | ## Do Not - Overwrite existing simulation files without confirmation - Ignore the Trotter error bound (`U * dt^2 <= 0.05`)

Frequently asked questions