phase-diagram

Name: phase-diagram
Availability: InStock
Author: QuantumBFS

Map quantum phase boundaries from finite-size simulation data using bisection refinement.

60|92|Updated Apr 30, 2026

Search Tags:#research #simulation #physics #hpc #quantum #phase-diagram

Ready to run

npx skills add https://github.com/QuantumBFS/quantum.harness --skill phase-diagram

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: phase-diagram
Source: https://github.com/QuantumBFS/quantum.harness/tree/main/skills/phase-diagram
Command: npx skills add https://github.com/QuantumBFS/quantum.harness --skill phase-diagram

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the complex, iterative process of locating phase boundaries in quantum systems, replacing manual trial-and-error with a rigorous, auditable, and reproducible computational workflow.

Core Features & Use Cases

Automated Boundary Refinement: Uses bisection and crossing guards to pinpoint phase transitions from finite-size data.
Durable State Management: Maintains a persistent record of compute progress, allowing for safe resumption after interruptions or cluster job failures.
Use Case: Researchers can use this to map the phase diagram of a 1D quantum spin chain by scanning coupling parameters and automatically refining the boundary based on dimensionless observable crossings.

Quick Start

Initialize a new phase diagram project in the results directory by running the scaffold command through the phase-diagram script.

Frequently Asked Questions about phase-diagram

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate phase boundary mapping from finite-size quantum simulation data?▼

To automate phase boundary mapping, the process uses automated crossing guards and bisection refinement to pinpoint phase transitions from finite-size data, requiring a structured policy definition and validated manifest inputs to ensure scientific reproducibility and convergence.

What is the best way to map the phase diagram of a 1D quantum spin chain?▼

The best way to map a 1D quantum spin chain phase diagram is by scanning coupling parameters and automatically refining the boundary based on dimensionless observable crossings, replacing manual trial-and-error with an auditable computational workflow.

How do I resume quantum simulation computations after a Slurm cluster job failure?▼

To resume computations after a Slurm cluster job failure, the system maintains durable state management and a persistent record of compute progress, allowing safe resumption of long-running research tasks after interruptions.

How does bisection refinement locate phase transitions in numerical simulations?▼

Bisection refinement locates phase transitions by iteratively narrowing the search interval using crossing guards that detect when dimensionless observables intersect across sequential system sizes, automatically refining the boundary for finite-size quantum systems.

Do I need a structured policy definition to run finite-size phase boundary scans?▼

Yes, you need a structured policy definition and validated manifest inputs to run finite-size phase boundary scans. These inputs ensure that the automated boundary refinement maintains scientific reproducibility and convergence.

Can I use this workflow for high performance computing environments with Slurm?▼

Yes, you can use this workflow in high performance computing environments because it supports Slurm-based cluster execution and sequential size promotion for long-running research tasks across distributed compute resources.