solvable

Validate numerical quantum simulation results against 63 exact solvable models.

60|92|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/QuantumBFS/quantum.harness --skill solvable
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: solvable
Source: https://github.com/QuantumBFS/quantum.harness/tree/main/skills/solvable
Command: npx skills add https://github.com/QuantumBFS/quantum.harness --skill solvable

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, and includes references (resource) components.

What problem does it solve?

This skill resolves discrepancies between numerical quantum simulation results and known exact solutions, preventing common errors like convention mismatches or regime violations.

Core Features & Use Cases

  • Automated Verification: Compares user-provided numerical data (ED, DMRG, QMC) against a catalog of 63 solvable quantum models.
  • Convention Reconciliation: Automatically detects and corrects for common scaling factors, such as Pauli versus spin-1/2 operator conventions.
  • Use Case: If you are running a DMRG simulation on a 1D Hubbard model and want to ensure your ground state energy is accurate, this skill checks your result against the Lieb-Wu solution while accounting for your specific parameter settings.

Quick Start

Ask the agent to verify your current DMRG ground state energy for the 1D Hubbard model against the exact solution.

Frequently Asked Questions about solvable

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

FAQPage Schema
How do I verify DMRG ground state energy against exact solvable quantum models?

To verify DMRG ground state energy, provide your numerical simulation data to compare against a curated catalog of 63 exact solvable quantum models. The skill performs convention reconciliation and regime-of-validity checks to ensure your computational research output is physically accurate.

Why does my quantum simulation result mismatch the exact solution for the 1D Hubbard model?

Quantum simulation results mismatch exact solutions due to common convention mismatches, such as Pauli versus spin-1/2 operator scaling. The skill automatically detects and corrects these scaling factors, checking your result against the Lieb-Wu solution while accounting for your specific parameter settings.

Can I validate exact diagonalization and QMC results alongside DMRG data?

Yes, you can validate exact diagonalization (ED), QMC, and DMRG numerical quantum simulation data. The skill compares your provided results against the exact solvable models catalog to identify discrepancies and confirm physical accuracy across these numerical methods.

What quantum models are available for automated verification of numerical simulation data?

Automated verification validates numerical data against a catalog of 63 exact solvable quantum models. This curated database includes models like the 1D Hubbard model, allowing you to check simulation results for physical accuracy and prevent regime violations.

Do I need to install uv to perform comparative analysis against benchmark data?

Yes, you need to install uv to access the internal knowledge base and oracle scripts required to perform comparative analysis against benchmark data. This dependency is necessary to execute the convention reconciliation and regime-of-validity checks.

When should I worry about regime violations in quantum simulation verification?

You should worry about regime violations whenever your numerical simulation parameters fall outside the valid limits of the exact solvable models. The skill performs regime-of-validity checks during verification to prevent common errors and ensure physical accuracy.