
During a ten-month period, Daniel Expósito developed and maintained the CESGA-Quantum-Spain/cunqa repository, focusing on quantum circuit simulation, distributed workflows, and robust documentation. He engineered features such as parametric circuit upgrades, multicontrolled gate support, and neural network integration, using Python and C++ to enhance backend reliability and simulation accuracy. Daniel streamlined CI/CD pipelines, modernized build systems with CMake, and improved onboarding through automated documentation. His work addressed complex error handling, parameter validation, and probability analytics, while expanding test coverage and maintaining code clarity. The depth of his contributions reflects strong expertise in quantum computing, configuration management, and software testing.

February 2026 monthly summary for CESGA-Quantum-Spain/cunqa. This month focused on streamlining the build pipeline, expanding noise simulation capabilities, and hardening quantum circuit operations. Key outcomes include removing legacy build script, enhancing noise modeling with a new parameter and import path fixes, and correcting multicontrolled gate parameter handling for better compatibility.
February 2026 monthly summary for CESGA-Quantum-Spain/cunqa. This month focused on streamlining the build pipeline, expanding noise simulation capabilities, and hardening quantum circuit operations. Key outcomes include removing legacy build script, enhancing noise modeling with a new parameter and import path fixes, and correcting multicontrolled gate parameter handling for better compatibility.
January 2026 snapshot for CESGA-Quantum-Spain/cunqa: Delivered usability improvements for C++ examples, strengthened circuit transpilation and parameter handling, reintroduced SAVE_STATE support, and upgraded testing/docs infrastructure. Implemented targeted bug fixes in probability handling and debugging workflows, enabling more reliable simulations and faster iteration.
January 2026 snapshot for CESGA-Quantum-Spain/cunqa: Delivered usability improvements for C++ examples, strengthened circuit transpilation and parameter handling, reintroduced SAVE_STATE support, and upgraded testing/docs infrastructure. Implemented targeted bug fixes in probability handling and debugging workflows, enabling more reliable simulations and faster iteration.
December 2025 - Cunqa (CESGA-Quantum-Spain/cunqa). Focused on reliability and accuracy of probabilistic simulations and parameterized circuit execution. Delivered key features that improve probability analytics, per-qubit and subset probabilities, and state representations, along with robust parameter handling and expanded test coverage. Highlights include enhanced probability handling across multiple cl_registers with per-qubit/subset options, refactored CunqaCircuit parameter management (lambda removal, error handling for instruction parameters, and ensured variable parameters are assigned before execution), and targeted fixes to edge cases in probability data structures (num_qubits handling, reset instruction logic, and simplified conditional instructions to X gates). Expanded tests cover probability extraction, save_state, state retrieval, and variable handling, strengthening regression safety and maintainability.
December 2025 - Cunqa (CESGA-Quantum-Spain/cunqa). Focused on reliability and accuracy of probabilistic simulations and parameterized circuit execution. Delivered key features that improve probability analytics, per-qubit and subset probabilities, and state representations, along with robust parameter handling and expanded test coverage. Highlights include enhanced probability handling across multiple cl_registers with per-qubit/subset options, refactored CunqaCircuit parameter management (lambda removal, error handling for instruction parameters, and ensured variable parameters are assigned before execution), and targeted fixes to edge cases in probability data structures (num_qubits handling, reset instruction logic, and simplified conditional instructions to X gates). Expanded tests cover probability extraction, save_state, state retrieval, and variable handling, strengthening regression safety and maintainability.
November 2025 monthly summary for CESGA-Quantum-Spain/cunqa. Key features delivered include: (1) ViqueiraQRNN submodule added to enable external neural-network integration (commit 53554555268f33dcd92e2c530d89f0bdf0956b1d); (2) Time formats support for days-hours and days-hours:minutes:seconds (commit c8ba4b9d663fa405baabf6ac41be2bd7b9e29cec); (3) Extended results API with save_state, statevector, and density_matrix properties for richer post-processing (commit 224f64d9661ae29117f61f1f386ea5858f056569). Major fixes and maintenance included: (a) transpilation-compatible parameter handling (commit 03f639d1a43193946dbf967cf4a5109d6e8688b3); (b) fixes to process_instrs and divide_instr in circuit_extensions (commit cb8219d8007e4d65ffaa2c86af685af476d1e53c); (c) save_state handling in _check_instruction (commit 51ef6644cbd51eeac8058d7ed2ef036e416e0310); and (d) ongoing housekeeping and documentation cleanups (multiple commits, e.g., 238edb375a3ffd7c5ce98036fa45d607919f8ac6; 6d5cb52cff3c045909a8368a404ab75ba71c7406). Overall impact: faster NN-enabled workflows, broader analytical capabilities, and a cleaner, more maintainable codebase. Technologies/skills demonstrated: submodule management, API evolution, build-system tweaks (CMake, docs), testing scaffolding (mock components), and comprehensive maintenance.
November 2025 monthly summary for CESGA-Quantum-Spain/cunqa. Key features delivered include: (1) ViqueiraQRNN submodule added to enable external neural-network integration (commit 53554555268f33dcd92e2c530d89f0bdf0956b1d); (2) Time formats support for days-hours and days-hours:minutes:seconds (commit c8ba4b9d663fa405baabf6ac41be2bd7b9e29cec); (3) Extended results API with save_state, statevector, and density_matrix properties for richer post-processing (commit 224f64d9661ae29117f61f1f386ea5858f056569). Major fixes and maintenance included: (a) transpilation-compatible parameter handling (commit 03f639d1a43193946dbf967cf4a5109d6e8688b3); (b) fixes to process_instrs and divide_instr in circuit_extensions (commit cb8219d8007e4d65ffaa2c86af685af476d1e53c); (c) save_state handling in _check_instruction (commit 51ef6644cbd51eeac8058d7ed2ef036e416e0310); and (d) ongoing housekeeping and documentation cleanups (multiple commits, e.g., 238edb375a3ffd7c5ce98036fa45d607919f8ac6; 6d5cb52cff3c045909a8368a404ab75ba71c7406). Overall impact: faster NN-enabled workflows, broader analytical capabilities, and a cleaner, more maintainable codebase. Technologies/skills demonstrated: submodule management, API evolution, build-system tweaks (CMake, docs), testing scaffolding (mock components), and comprehensive maintenance.
October 2025 (CESGA-Quantum-Spain/cunqa): Focused on reducing technical debt and improving user guidance. Key deliverables include code cleanup by removing the unused are_QPUs_raised helper and enhancements to Iterative QPE documentation with external references. No critical bugs were reported this month; the work improves maintainability, onboarding, and the reliability of QPE workflows, aligning with business goals to shorten time-to-value for users.
October 2025 (CESGA-Quantum-Spain/cunqa): Focused on reducing technical debt and improving user guidance. Key deliverables include code cleanup by removing the unused are_QPUs_raised helper and enhancements to Iterative QPE documentation with external references. No critical bugs were reported this month; the work improves maintainability, onboarding, and the reliability of QPE workflows, aligning with business goals to shorten time-to-value for users.
September 2025 monthly summary for CESGA-Quantum-Spain/cunqa focusing on distributed Grover workflow enhancements and reliability improvements. Delivered multicontrolled gate support within the CUNQA circuit library, including a distributed Grover example, and applied targeted bug fixes and dependency updates to improve reliability, simulation accuracy, and interoperability with AER, spdlog, and libzmq. Introduced a CITATION.cff metadata file to enable proper attribution, discovery, and reproducibility. These changes enhance scalability for distributed quantum simulations and position the project for broader adoption while maintaining compatibility with the existing toolchain.
September 2025 monthly summary for CESGA-Quantum-Spain/cunqa focusing on distributed Grover workflow enhancements and reliability improvements. Delivered multicontrolled gate support within the CUNQA circuit library, including a distributed Grover example, and applied targeted bug fixes and dependency updates to improve reliability, simulation accuracy, and interoperability with AER, spdlog, and libzmq. Introduced a CITATION.cff metadata file to enable proper attribution, discovery, and reproducibility. These changes enhance scalability for distributed quantum simulations and position the project for broader adoption while maintaining compatibility with the existing toolchain.
August 2025 (2025-08) monthly summary for CESGA-Quantum-Spain/cunqa: Delivered robust parametric circuit parameter handling and upgrade workflow enhancements, expanding labeling, flexible updates across qjob instances, and a safe, warning-driven parameter validation. Added Apache License 2.0 to establish licensing terms and improve compliance. The work reduces upgrade friction, enhances reliability, and sets the foundation for scalable parametric workflows.
August 2025 (2025-08) monthly summary for CESGA-Quantum-Spain/cunqa: Delivered robust parametric circuit parameter handling and upgrade workflow enhancements, expanding labeling, flexible updates across qjob instances, and a safe, warning-driven parameter validation. Added Apache License 2.0 to establish licensing terms and improve compliance. The work reduces upgrade friction, enhances reliability, and sets the foundation for scalable parametric workflows.
July 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Key features delivered include README logo enhancements with color-scheme awareness, CunqaCircuit reset functionality, and documentation/readability improvements. No major bug fixes were recorded in this scope. The work improves UX, maintainability, and extensibility, enabling robust qubit reset operations and clearer project documentation.
July 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Key features delivered include README logo enhancements with color-scheme awareness, CunqaCircuit reset functionality, and documentation/readability improvements. No major bug fixes were recorded in this scope. The work improves UX, maintainability, and extensibility, enabling robust qubit reset operations and clearer project documentation.
April 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered stabilization of the documentation build and clarified installation guidance, improving reliability for developers and onboarding. Key commits contributed to ReadTheDocs configuration and CMake/doc updates, reducing build-time errors and aligning deployment instructions across standard and Ninja build workflows.
April 2025 monthly summary for CESGA-Quantum-Spain/cunqa: Delivered stabilization of the documentation build and clarified installation guidance, improving reliability for developers and onboarding. Key commits contributed to ReadTheDocs configuration and CMake/doc updates, reducing build-time errors and aligning deployment instructions across standard and Ninja build workflows.
March 2025 – Cunqa (CESGA-Quantum-Spain/cunqa): Delivered automated documentation deployment via Read the Docs CI/CD configuration. Implemented .readthedocs.yaml to define the build environment (OS and Python), configure Sphinx, and establish a docs CI pipeline aligned with code changes. This work reduces manual steps, ensures up-to-date docs with every release, and improves contributor onboarding and customer-facing documentation reliability.
March 2025 – Cunqa (CESGA-Quantum-Spain/cunqa): Delivered automated documentation deployment via Read the Docs CI/CD configuration. Implemented .readthedocs.yaml to define the build environment (OS and Python), configure Sphinx, and establish a docs CI pipeline aligned with code changes. This work reduces manual steps, ensures up-to-date docs with every release, and improves contributor onboarding and customer-facing documentation reliability.
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