backward-heat-1d-schrodingerization

Solve 1D backward heat PDEs via warped phase transformation.

30|2|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/unitarylab/quantum-skills --skill backward-heat-1d-schrodingerization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backward-heat-1d-schrodingerization
Source: https://github.com/unitarylab/quantum-skills/tree/main/algorithms/schrodingerization
Command: npx skills add https://github.com/unitarylab/quantum-skills --skill backward-heat-1d-schrodingerization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, unitarylab, and includes scripts (resource) components.

What problem does it solve?

Ill-posed backward heat equations are highly unstable to simulate. This skill stabilizes them by transforming the unstable evolution into a structured, unitary Schrödinger-like system.

Core Features & Use Cases

  • Schrödingerization mapping for ill-posed PDEs enabling stable, unitary evolution.
  • Classical matrix-exponentiation solver and quantum-inspired (Trotter) solver.
  • Supports Dirichlet or periodic boundary conditions and optional source terms.

Quick Start

Run the solver on your 1D backward heat equation to obtain a stable Schrödingerized solution.

Frequently Asked Questions about backward-heat-1d-schrodingerization

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

FAQPage Schema
How do I stabilize an ill-posed backward heat equation simulation?

Stabilize an ill-posed backward heat equation by applying a warped phase transformation that maps unstable exponential growth into a stable, unitary Schrödinger-like evolution system.

What is Schrödingerization for partial differential equations?

Schrödingerization is a mapping technique for ill-posed PDEs that transforms unstable backward heat evolution into a structured, unitary Schrödinger-like system to enable stable numerical processing.

Can I solve backward heat PDEs with Dirichlet and periodic boundary conditions?

Yes, you can solve 1D backward heat PDEs with either Dirichlet or periodic boundary conditions, and the solver also supports optional source terms in the equation.

Does the solver offer both classical and quantum-inspired methods for 1D PDEs?

Yes, the solver provides a classical matrix-exponentiation method and a quantum-inspired Trotter solver to compute the Schrödingerized solution for 1D backward heat equations.

What inputs do I need to run a 1D backward heat PDE solver?

You need a discretized operator A, optional source term b, grid size, and parameters T, na, R to produce the solution u, with optional quantum circuit and visualization outputs.

Why does my backward heat equation simulation become unstable?

Backward heat equations are inherently ill-posed and unstable due to exponential growth; applying a warped phase transformation converts this into a stable unitary evolution.