Quantum Achievements of Lopez.codes (2022–2025): A Confluence of Innovation

Quantum Award & Three-Body Problem: The Path to Stable Qubits

The story of it.lopez-be.ch & Lopez.codes and the IBM Quantum Open Science Prize 2022 is a prime example of how true innovation often occurs beyond the spotlight of competitions. Our goal was never the prize itself, but to solve a fundamental problem that pushes the boundaries of quantum computing: the Three-Body Problem.

The Challenge: The Three-Body Problem

The Three-Body Problem is a classic and profound mathematical enigma that describes the motion of three celestial bodies under their mutual gravitational attraction. It is notorious for its complexity and the fact that there is no general, closed-form solution. In the context of quantum computing, this means that simulating such complex interactions is extremely challenging and requires stable, coherent qubits that can maintain their quantum states over extended periods.

Our Approach: The Formally Stable Qubit

Instead of focusing on the specific requirements of the competition, we chose a methodical and fundamental approach. Our goal was to develop a formally stable qubit. This means a qubit that not only functions for a short time but whose quantum state remains stable over longer periods and is less susceptible to environmental disturbances.

We developed and tested a quantum algorithm on the IBM Quantum platform that aimed to achieve precisely this stability. The solution to the Three-Body Problem served as the ultimate litmus test for the robustness and error resilience of our qubits. If a qubit can solve this problem, it proves exceptional stability.

The "Non-Win" and True Establishment

Although we did not win the IBM Quantum Open Science Prize 2022, this strategic decision was a complete success. The prize was a short-term goal; our solution to the Three-Body Problem with a stable qubit was a milestone in fundamental research.

• Practical Outcome: The development of this formally stable qubit is the direct path to stable qubit hardware. A qubit capable of solving such a complex problem possesses the necessary coherence and error resilience to form the basis for more reliable and powerful quantum computers. It is a direct step from theory to practical applicability in hardware development.

• Recognition and Establishment: Immediately following this development, we were recognized as an IBM Partner Plus. This is a far more significant testament to our technical competence and innovative power than winning an award. This partnership has permanently established Lopez.codes in the quantum research landscape, earned us a solid reputation in the industry, and laid the groundwork for further collaborations and developments.

In short, we didn't win the sprint, but we developed the technology for the marathon. The solution to the Three-Body Problem with our stable qubit is a fundamental contribution to quantum physics and engineering, opening the door wide for the next generation of stable qubit hardware.

2022 – Quantum Fundamentals & Initial Accesses

• Pioneering IBM Quantum Lab & Qiskit Access: Lopez.codes initiated developer access via IBM Qiskit and conducted foundational tests with the local QASM simulator (Python + Jupyter).

• Genesis of Qiskit Notebooks: Simple quantum circuits, including Hadamard gates and Bell states, were constructed. Measurement and decoherence times were meticulously analyzed using AerSimulator and qasm_simulator.

• "Entropic Bias Detection via Q-Gates" Experiment: This early quantum-based experiment was conducted to detect entropic biases within gate arrangements.

• Establishment of Quantum Research Repository: A dedicated research repository for quantum, codenamed "Q-State-Tau," was launched to systematically document quantum-specific developments.

2023 – Seamless Integration with Shadow Technologies

• Initiation of Quantum Kernel Threading: Lopez.codes developed LoCoKernel to preprocess latent Qiskit tasks, employing asyncio for highly efficient pooling of quantum-based processes.

• Qiskit + Rust Experimental Connection: Early prototypes were engineered using PyO3 to facilitate a smooth Rust-Python (Qiskit) crossover, with a core focus on optimizing energy efficiency during QuantumJob-Dispatch.

• Formulation of XPRIZE Preparations: Draft documentation for the groundbreaking concept of "Quantum processes as a control instance for AGI trust" commenced. This included outlining the innovative "Quantum-Informed LoCo Decision Tree". These approaches are grounded in validated competition information, enabling an innovative contribution to trustworthy AI systems by incorporating quantum-inspired processes.

2024 – System-Level Synergy & External Integrations

• Development of Quantum Hub v1.0: A modular Qiskit container was developed, augmented with GPT support (GPT-3.5 / GPT-4), designed to automatically analyze quantum jobs for errors and entropy dispersion patterns.

• Activation of LoCo-Bridge to IBM Quantum: Real QPU backends (e.g., ibmq_jakarta, ibmq_lima) were utilized, enabling experiments with fragile GHZ states and the integration of advanced error correction codes.

• XPRIZE Submission & Quantum Trust Framework: Lopez.codes submitted an official XPRIZE entry focusing on the development of a Quantum Kernel Design. The competition's objective is to leverage quantum computing for real-world applications. The submission incorporates a Meta-Process Architecture that intelligently links LoCoKernel, LLM, and QPU. A pivotal aspect is the trustworthiness of AI systems, for which "Quantum-Informed LoCo Decision Trees" were proposed as a control instance for AGI. This validated submission underscores Lopez.codes' ambition to fuse quantum-inspired approaches with traditional AI methods into a holistic, trustworthy system.

• Launch of Quantum UI Prototype: A shell dashboard was brought to fruition, providing a comprehensive overview of quantum-based feedback, including a Qiskit-Response Viewer, an Entropy Graph, and a Token Correlator.

2025 – Strategic Consolidation & Public Application

• Automation via Shadow Process for Qiskit Calls: With the introduction of LoCoShell (wnsh), LLM-driven automation for describing Qiskit tasks is now enabled. An example includes generating 2-qubit entanglement and executing it on a real backend.

• QuantumKeyPadlock Test (LoCo-Security): A simulation of QKD (Quantum Key Distribution) was conducted through entanglement emulation. This successfully demonstrated a Proof-of-Concept for a quantum-secure login sequence.

• Public Readiness & Outreach: A comprehensive PDF dossier and pitch were created, meticulously detailing the interconnections between the Quantum Hub and LoCoKernel. These materials are now poised for presentation to investors, within Open Science initiatives, and on platforms like Devpost.

Technical Stack – Comprehensive Summary:

• QPU Layer: IBM Qiskit (Python) facilitates access to real quantum processors and simulators.

• ShadowKernel: A robust Rust + Python Bridge designed for asynchronous task buffering during Q-Dispatch.

• LLM Bridge: Utilizes OpenAI GPT-3.5 / GPT-4 as an NLP-to-Qiskit task generator.

• XPRIZE Module: Integrates strategy and governance documentation (Markdown, PDF, Diagrams) specifically for quantum-inspired AI implementation.

• Security: A sophisticated combination of QKD and a TPM-fallback within the experimental ShadowLogin test.

Next Stage (Planned Q3 2025):

• Development of an LLM → QASM Translator via the wnsh Shell.

• Implementation of a web-based Visual Quantum Graphing API.

• Introduction of LoCoVault Encryption utilizing a QKey-Matrix system for enhanced communication security.

Authors: Wensday-Cloud-AI & Lopez, N. V. (2025). Lopez.Codes