A simulation tool for photonic quantum computing that calculates quantum kernels using optical fiber storage and linear optics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install optical-quantum-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install optical-quantum-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Optical Quantum Kernel?
The Optical Quantum Kernel skill provides a sophisticated simulation environment for photonic quantum computing, specifically designed for researchers and developers working with quantum machine learning. It allows users to model quantum kernel calculations—a method for determining similarity between data vectors—by encoding information into optical phases. By simulating the physical properties of optical fibers and linear optics, this skill enables the exploration of quantum-inspired algorithms within the Openclaw Skills ecosystem without requiring access to expensive quantum hardware.
This skill is particularly valuable for those looking to understand the intersection of optics and computation. It incorporates realistic physical constraints such as attenuation and phase noise, ensuring that simulations reflect the limitations of real-world photonic systems. As part of the broader suite of Openclaw Skills, it provides a secure and resource-bounded way to experiment with quantum state interference and kernel methods.
Optical Quantum Kernel Use Cases
- Calculating quantum kernel similarity between data vectors for machine learning applications.
- Simulating the effects of phase noise and fiber attenuation on quantum computations.
- Prototyping photonic quantum algorithms within a controlled, resource-bounded environment.
- Conducting academic research on linear optics and quantum-inspired data encoding using Openclaw Skills.
How Optical Quantum Kernel Works
- The user inputs two data vectors into the simulate command.
- The system performs strict validation on vector dimensions to ensure compatibility with the 8-mode limit.
- Input data is encoded into optical phases to represent quantum states.
- The encoded signals are processed through simulated optical fibers, where realistic physics-based constraints like attenuation are applied.
- The skill simulates linear optics interference to calculate the overlap between the states.
- A final similarity metric, or quantum kernel value, is returned to the user.
Optical Quantum Kernel Setup
To get started with this simulation tool, you can install it directly through your agent interface. Ensure your environment meets the requirements for Openclaw Skills.
# Install the optical quantum kernel skill
openclaw install optical-quantum-kernel
# Run a basic simulation between two vectors
openclaw run optical-quantum-kernel simulate --vector1 [0.1, 0.2] --vector2 [0.2, 0.1]
Optical Quantum Kernel Data Schema & Taxonomy
The skill organizes its simulation data based on the following parameters and outputs:
| Parameter | Description | Constraints |
|---|---|---|
| Input Vectors | The numerical data to be compared | Must match mode count |
| Mode Count | Number of optical channels used | Capped at 8 modes |
| Physics Constraints | Real-world variables like attenuation and noise | Applied automatically |
| Kernel Result | The resulting similarity score | Float between 0 and 1 |
Optical Quantum Kernel Advanced Features
- Physics-Based Constraints: Includes realistic simulation of signal attenuation and phase noise for high-fidelity results.
- Resource Bounding: Hard-coded cap of 8 modes to ensure stability and prevent resource exhaustion within Openclaw Skills.
- Strict Validation: Advanced input checking to prevent simulation errors and ensure mathematical consistency.
- Seamless Integration: Designed to work alongside other data-centric Openclaw Skills for complex research workflows.
SKILL.md
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