📌 Quantum decoherence remains one of the biggest challenges in quantum computing and open quantum systems. The Lindblad equation has been the standard model to describe these systems, but it does not provide an active correction mechanism for decoherence.

💡 We introduce the Adaptive Hybrid Quantum Equation (AHQE), a novel mathematical model that surpasses the Lindblad equation by dynamically correcting decoherence.

🔹 What is AHQE and Why is it Important?

✅ Dynamically corrects decoherence by adjusting  based on the system’s noise level.
✅ Introduces a damping factor  to prevent instability in highly noisy environments.
✅ Improves quantum coherence retention compared to Lindblad and static correction models.

📊 Simulation Results:

Quantum System Coherence Improvement (%)
Superconducting Qubits +40.65%
Trapped Ions +33.93%
Photonic Cavities +29.87%
Condensed Matter +35.24%

🔹 Applications of AHQE in Quantum Science

📌 Quantum Computing: Enhances the stability of superconducting qubits and trapped ions.
📌 Quantum Networks and Telecommunications: Increases photon retention in optical cavities.
📌 Quantum Sensors and Metrology: Reduces decoherence in high-precision measurement systems.
📌 Condensed Matter Physics: Optimizes coherence in Bose-Einstein condensates and topological materials.

📄 The full paper is now available on Zenodo:
🔗 Adaptive Hybrid Quantum Equation (AHQE) on Zenodo

🔬 This work is open for collaboration and scientific feedback.

📌 If you are interested in discussing the results or exploring experimental validations, feel free to contact me.

👤 H Henderson Javier
📩 Email: herisjavier6@gmail.com

🚀 Let’s keep pushing the frontiers of quantum physics together!