Singularity-free dynamical invariants-based quantum control for finite-dimensional state preparation under arbitrary noise. Use when designing invariant-based quantum control protocols, robust state preparation for NISQ hardware, non-Markovian open quantum systems, SU(2) subspace control, or noise-aware control synthesis.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill singularity-free-invariant-control --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Singularity Free Invariant Control?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/hiyenwong-singularity-free-invariant-control)More formats (shields.io, HTML) on the badges page.
---
name: singularity-free-invariant-control
description: "Singularity-free dynamical invariants-based quantum control for finite-dimensional state preparation under arbitrary noise. Use when designing invariant-based quantum control protocols, robust state preparation for NISQ hardware, non-Markovian open quantum systems, SU(2) subspace control, or noise-aware control synthesis."
metadata:
arxiv_id: "2510.15340"
published: "2025-10-17"
authors: "Ritik Sareen, Akram Youssry, Alberto Peruzzo"
tags: [quantum-control, invariant-based, state-preparation, non-Markovian, NISQ, robustness]
---
## Core Concept
Invariant-based inverse engineering provides a principled framework for synthesizing analytic control fields, but existing parameterizations often produce experimentally infeasible singular pulses and are limited to simplified Lindblad noise models. This singularity-free framework extends invariant-based control to realistic open-system regimes with arbitrary noise conditions.
## Key Technical Insights
1. **SU(2) subspace reduction**: Transforms finite-dimensional control problem into equivalent single-qubit problem by restricting dynamics to a designed SU(2) subspace, simplifying the control synthesis.
2. **Two-stage protocol**:
- Stage 1: Construct a family of **bounded pulses** achieving perfect state preparation in closed systems
- Stage 2: Identify the optimal member minimizing noise effects — produces smooth, hardware-feasible control fields
3. **Dual noise handling**:
- **Characterized noise**: Noise-aware control synthesis using full master-equation description
- **Uncharacterized noise**: Noise-agnostic variant preserves robustness without requiring master-equation description
## Design Principles
- **Bounded pulses over singular ones**: Avoid experimentally infeasible control fields
- **SU(2) reduction**: Simplify high-dimensional control to single-qubit equivalent
- **Noise-agnostic fallback**: Maintain robustness when noise characterization is unavailable
- **Hardware-feasible fields**: Smooth, bounded control fields compatible with NISQ hardware
## Applications
- High-fidelity state preparation on NISQ devices
- Non-Markovian open quantum system control
- Quantum state engineering with environmental memory
- Communication and sensing state preparation
## Activation Keywords
singularity-free quantum control, dynamical invariants, invariant-based inverse engineering, SU(2) subspace control, non-Markovian quantum control, bounded pulses, NISQ state preparation, noise-aware control synthesis, open quantum systems
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!