
Over thirteen months, Manuel Losada engineered core quantum computing infrastructure in the CESGA-Quantum-Spain/cunqa repository, focusing on scalable circuit execution, robust backend integration, and advanced noise modeling. He developed distributed QPU management and parallelized VQE workflows, leveraging Python, C++, and Qiskit to enable high-performance simulations and reliable experiment orchestration. His work included backend-agnostic circuit transpilation, JSON-driven configuration, and dynamic noise model support, addressing reproducibility and experiment fidelity. Losada also overhauled documentation and API usability, improved error handling, and maintained repository hygiene. The depth of his contributions established a maintainable, extensible foundation for quantum simulation and research workflows.

Month: 2025-12. Focused on strengthening CunqaBackend for quantum simulations by expanding noise handling and configuration processing, and by stabilizing transpilation paths. Key outcome: a new noise-aware backend configuration workflow and robust JSON-based configuration processing to integrate noise models and coupling maps, enabling more accurate and scalable simulations. A critical fix to ideal and non-noisy backend transpilations was implemented to improve reliability and performance.
Month: 2025-12. Focused on strengthening CunqaBackend for quantum simulations by expanding noise handling and configuration processing, and by stabilizing transpilation paths. Key outcome: a new noise-aware backend configuration workflow and robust JSON-based configuration processing to integrate noise models and coupling maps, enabling more accurate and scalable simulations. A critical fix to ideal and non-noisy backend transpilations was implemented to improve reliability and performance.
November 2025 Cunqa monthly summary focusing on business value and technical achievements across noise modeling, circuit translation, simulator reliability, and build stability.
November 2025 Cunqa monthly summary focusing on business value and technical achievements across noise modeling, circuit translation, simulator reliability, and build stability.
October 2025 (2025-10): Delivered targeted improvements in the Cunqa project (CESGA-Quantum-Spain/cunqa) focused on maintainability, clarity, and demonstration reliability. Key work included repository hygiene and cleanup to reduce noise and prevent accidental commits, documentation enhancements for cunqa.circuit module to improve user understanding, fixes and refinements to the Distributed Quantum Phase Estimation (QPE) example to ensure reliable demonstrations, and the addition of a substantial test dataset to enable richer testing and validation. These changes collectively improve developer productivity, reduce onboarding time, and strengthen the trustworthiness of demonstrations for stakeholders.
October 2025 (2025-10): Delivered targeted improvements in the Cunqa project (CESGA-Quantum-Spain/cunqa) focused on maintainability, clarity, and demonstration reliability. Key work included repository hygiene and cleanup to reduce noise and prevent accidental commits, documentation enhancements for cunqa.circuit module to improve user understanding, fixes and refinements to the Distributed Quantum Phase Estimation (QPE) example to ensure reliable demonstrations, and the addition of a substantial test dataset to enable richer testing and validation. These changes collectively improve developer productivity, reduce onboarding time, and strengthen the trustworthiness of demonstrations for stakeholders.
Month: 2025-09 - Delivered core enhancements to the Cunqa project (CESGA-Quantum-Spain/cunqa). Implemented a parallelized VQE optimization workflow with multiprocessing, multiple backends, and robust data collection; extended QPE/QFT simulations with backend-agnostic JSON data; introduced telegate-based remote circuit control with expose and rcontrol context to improve cross-context circuit composition; improved experiment data management and visualization through structured JSON logging and graph generation; and strengthened reproducibility and repository hygiene by introducing a transpiler seed and updating git ignore. These changes collectively improve scalability, reliability, and business value by accelerating quantum experimentation, enabling richer data-driven decisions, and reducing drift and operational risk.
Month: 2025-09 - Delivered core enhancements to the Cunqa project (CESGA-Quantum-Spain/cunqa). Implemented a parallelized VQE optimization workflow with multiprocessing, multiple backends, and robust data collection; extended QPE/QFT simulations with backend-agnostic JSON data; introduced telegate-based remote circuit control with expose and rcontrol context to improve cross-context circuit composition; improved experiment data management and visualization through structured JSON logging and graph generation; and strengthened reproducibility and repository hygiene by introducing a transpiler seed and updating git ignore. These changes collectively improve scalability, reliability, and business value by accelerating quantum experimentation, enabling richer data-driven decisions, and reducing drift and operational risk.
2025-08 Monthly Summary for CESGA-Quantum-Spain/cunqa: Delivered architectural and documentation overhauls for CunqaCircuit, implemented comprehensive bug fixes across display, autosummary, and property rendering, and aligned the codebase with main along with dependency updates. Executed extensive autodoc enhancements and documentation improvements across CunqaCircuit, Cunqa.mappers, BackendData, and related modules. Business value delivered through cleaner API, reduced duplication, clearer user docs, and improved release readiness.
2025-08 Monthly Summary for CESGA-Quantum-Spain/cunqa: Delivered architectural and documentation overhauls for CunqaCircuit, implemented comprehensive bug fixes across display, autosummary, and property rendering, and aligned the codebase with main along with dependency updates. Executed extensive autodoc enhancements and documentation improvements across CunqaCircuit, Cunqa.mappers, BackendData, and related modules. Business value delivered through cleaner API, reduced duplication, clearer user docs, and improved release readiness.
July 2025 performance summary for CESGA-Quantum-Spain/cunqa: Implemented configurable noise models and Qmio calibration support, fortified result processing and logging, and completed codebase cleanup to improve modularity and maintainability. These changes enable flexible noise scenarios (personalized vs default QMI/O), improve robustness and debuggability, and reduce technical debt, accelerating experiments and delivery of reliable calibration-backed simulations.
July 2025 performance summary for CESGA-Quantum-Spain/cunqa: Implemented configurable noise models and Qmio calibration support, fortified result processing and logging, and completed codebase cleanup to improve modularity and maintainability. These changes enable flexible noise scenarios (personalized vs default QMI/O), improve robustness and debuggability, and reduce technical debt, accelerating experiments and delivery of reliable calibration-backed simulations.
May 2025 Cunqa monthly summary focused on delivering user-centric API enhancements, realistic noise modeling, and stable maintenance to improve reliability, experiment fidelity, and onboarding. These efforts reduced friction for circuit construction, enabled more accurate and reproducible simulations, and fixed critical connectivity issues impacting downstream pipelines.
May 2025 Cunqa monthly summary focused on delivering user-centric API enhancements, realistic noise modeling, and stable maintenance to improve reliability, experiment fidelity, and onboarding. These efforts reduced friction for circuit construction, enabled more accurate and reproducible simulations, and fixed critical connectivity issues impacting downstream pipelines.
April 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered core capabilities for scalable QPU usage, robust parametric circuit handling, and standardized result processing, with distributed execution support. This work improves reliability, performance, and scalability, enabling efficient multi-QPU workloads and consistent metrics across backends. Key business value includes lower QPU access latency via lazy/constrained connections, safer parametric submissions, and unified counts reporting for better decision-making and bottleneck identification.
April 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered core capabilities for scalable QPU usage, robust parametric circuit handling, and standardized result processing, with distributed execution support. This work improves reliability, performance, and scalability, enabling efficient multi-QPU workloads and consistent metrics across backends. Key business value includes lower QPU access latency via lazy/constrained connections, safer parametric submissions, and unified counts reporting for better decision-making and bottleneck identification.
Summary for 2025-03: Consolidated Cunqa's build and environment reliability, fixed critical backend data handling, and refreshed examples to reflect current functionality. This month focused on improving cross-environment compatibility, correcting count handling between AER and Munich backends, and ensuring accurate QASM2 classical bit calculations, with upgraded example notebooks to align with code changes. These efforts reduce deployment risk, improve correctness of simulations, and accelerate developer onboarding.
Summary for 2025-03: Consolidated Cunqa's build and environment reliability, fixed critical backend data handling, and refreshed examples to reflect current functionality. This month focused on improving cross-environment compatibility, correcting count handling between AER and Munich backends, and ensuring accurate QASM2 classical bit calculations, with upgraded example notebooks to align with code changes. These efforts reduce deployment risk, improve correctness of simulations, and accelerate developer onboarding.
February 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered a major overhaul of the QPU execution framework with distributed, multi-QPU mapping across QPUs, MunichSimulator, and Aer, along with robust error handling and richer demonstration assets. The work improves scalability, reliability, and developer productivity, enabling faster, reproducible experiments for quantum workloads while reducing maintenance overhead.
February 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered a major overhaul of the QPU execution framework with distributed, multi-QPU mapping across QPUs, MunichSimulator, and Aer, along with robust error handling and richer demonstration assets. The work improves scalability, reliability, and developer productivity, enabling faster, reproducible experiments for quantum workloads while reducing maintenance overhead.
January 2025 monthly summary for CESGA-Quantum-Spain/cunqa. Delivered core enhancements to the Quantum Circuit Execution API and simulation backbone, focusing on usability, reliability, and business value. End-to-end execution support for a 15-qubit, 10-layer circuit was introduced in the api-dev branch with robust configuration loading and clearer usage examples. The simulation workflow was enhanced with improved logging, JSON-based circuit construction and transpilation, and refactored execution/data handling to support qjob execution and result handling. A dedicated effort to reliability finished with a refactor of the Result class to correctly parse counts and metadata, plus basic logging and notebook updates for reliable outcome interpretation. Collectively, these changes reduce debugging time, increase end-user confidence, and lay the groundwork for production readiness. Technologies demonstrated include API design and configuration loading, JSON-based circuit representation, transpilation, structured logging, data parsing, and notebook-driven observability.
January 2025 monthly summary for CESGA-Quantum-Spain/cunqa. Delivered core enhancements to the Quantum Circuit Execution API and simulation backbone, focusing on usability, reliability, and business value. End-to-end execution support for a 15-qubit, 10-layer circuit was introduced in the api-dev branch with robust configuration loading and clearer usage examples. The simulation workflow was enhanced with improved logging, JSON-based circuit construction and transpilation, and refactored execution/data handling to support qjob execution and result handling. A dedicated effort to reliability finished with a refactor of the Result class to correctly parse counts and metadata, plus basic logging and notebook updates for reliable outcome interpretation. Collectively, these changes reduce debugging time, increase end-user confidence, and lay the groundwork for production readiness. Technologies demonstrated include API design and configuration loading, JSON-based circuit representation, transpilation, structured logging, data parsing, and notebook-driven observability.
December 2024 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered core enhancements to the virtual QPU workflow, expanded API exposure and usage examples, and cleaned up repository setup. The work delivered directly measurable business value by enabling reliable sequential circuit execution on virtual QPUs with a robust Result class, improving results handling and integration with QPU interactions. It also provided practical guidance for developers through API simulator and QPU usage examples, reducing onboarding time and accelerating experimentation. Repository hygiene improvements reduced setup friction and improved maintainability, benefiting CI pipelines and contributor experience.
December 2024 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered core enhancements to the virtual QPU workflow, expanded API exposure and usage examples, and cleaned up repository setup. The work delivered directly measurable business value by enabling reliable sequential circuit execution on virtual QPUs with a robust Result class, improving results handling and integration with QPU interactions. It also provided practical guidance for developers through API simulator and QPU usage examples, reducing onboarding time and accelerating experimentation. Repository hygiene improvements reduced setup friction and improved maintainability, benefiting CI pipelines and contributor experience.
Month: 2024-11 — Delivered a scalable QPU resource management and SLURM-based execution framework in Cunqa. Implemented QPU representation, cluster management, and SLURM-based job execution, including QPU_ class, Cluster__ class, SLURMJob, and lanza_.py to execute tasks in a SLURM environment. This enables automated submission, monitoring, and execution of quantum workloads across HPC resources, improving throughput and reproducibility. Maintenance work included minor changes to the framework (commit 0172525e73bcc381175e3fd36bc372a3c73d07f3).
Month: 2024-11 — Delivered a scalable QPU resource management and SLURM-based execution framework in Cunqa. Implemented QPU representation, cluster management, and SLURM-based job execution, including QPU_ class, Cluster__ class, SLURMJob, and lanza_.py to execute tasks in a SLURM environment. This enables automated submission, monitoring, and execution of quantum workloads across HPC resources, improving throughput and reproducibility. Maintenance work included minor changes to the framework (commit 0172525e73bcc381175e3fd36bc372a3c73d07f3).
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