July 2026 deliverables focused on strengthening local simulation capabilities, improving noise-learning workflows, and hardening estimator reliability, with a strong emphasis on business value for developers and users relying on qiskit-ibm-runtime.

June 2026 performance highlights for Qiskit/qiskit-ibm-runtime: Enhanced cross-version compatibility, improved data integrity, and stronger maintainability. Key features delivered: (1) Schema version 1.1 support with converters for executor models, version bump, and enhanced metadata validation; (2) NLV3 v0.3 support with serialization/deserialization converters and tests; (3) Codebase refactor and modularization of executor-estimator utilities for better reuse; (4) Box circuit utilities with tests/docs and compatibility fixes; (5) AdvancedSession extension to support extra request fields in session creation with API/rest adapter updates. Major bugs fixed: fixed passthrough data numpy arrays being incorrectly serialized as lists; added regression tests. Overall impact: safer upgrades, improved data integrity, and maintainable architecture enabling faster feature delivery. Technologies demonstrated: Python, serialization/deserialization pipelines, numpy interoperability, modular architecture, comprehensive testing, and API client/REST adapter evolution.

May 2026 performance summary for Qiskit/qiskit-ibm-runtime focusing on delivering measurable business value and robust technical gains. The month emphasized delivering richer quantum program results, improving estimator/sampler performance and post-processing, expanding hardware compatibility, and strengthening observability and testing. These efforts collectively reduced runtime, improved accuracy of results, and accelerated hardware-ready workflows for users and teams.

Monthly summary for 2026-04 focusing on business value and technical achievements in Qiskit/qiskit-ibm-runtime. The month delivered substantial runtime improvements, cross-version compatibility, and stronger validation and testing, enabling broader measurement options and more robust execution workflows for customers.

March 2026 focused on strengthening reliability, stability, and compatibility of the IBM Runtime by expanding version support, tightening dependencies, and introducing new converters and session capabilities, with substantial testing coverage added to the Executor and release/versioning improvements to support enterprise deployments.

February 2026 monthly summary for Qiskit/qiskit-ibm-runtime focusing on delivering V0.2 schema converters and enhanced execution options, with thorough testing and a migration-friendly default converter.

January 2026: Strengthened testing infrastructure, ISA validation, and test reliability for Qiskit qiskit-ibm-runtime. Delivered a Fake Nighthawk backend, enhanced error handling and logging, improved non-unitary ISA validation with new tests, refined backend compatibility filtering in tests, and updated IBM Quantum Schemas dependency to ensure stability.

December 2025 — Delivered a stability-focused fix in Qiskit/qiskit-ibm-runtime by addressing QuantumProgram edge-case handling when samplex_arguments are omitted. The patch prevents runtime errors during quantum program execution and strengthens support for sample-based workflows, improving reliability for end-users and reducing potential escalation in production.

November 2025 monthly summary for Qiskit/qiskit-ibm-runtime focused on documentation quality improvements to accelerate adoption and reduce support overhead. Key changes targeted the Executor and QuantumProgramResult data structures, providing practical usage examples, clarified data flows, and guidance on executing Quantum Programs on IBM backends. Also addressed a rendering issue in the docs to improve readability and maintainability, laying groundwork for future feature rollouts.

October 2025 monthly summary for Qiskit/qiskit-ibm-runtime focusing on delivering high-value features, stabilizing the codebase, and strengthening future readiness.

Monthly summary for 2025-08 focusing on key business value and technical achievements. Delivered a critical enhancement to the PauliLindbladMap with drop_qubits and keep_qubits methods, enabling selective qubit tracing and more flexible quantum map analysis. Implemented in Rust with accompanying unit tests and Python documentation. Commit: ff9a3b65eca7592db2e72f3e68bd5227385092bc. No major bugs fixed this month. Overall impact includes improved modeling flexibility, potential performance gains, and better support for quantum error mitigation workflows. Demonstrated strengths in systems programming (Rust), test-driven development, cross-language API design (Rust/Python), and thorough documentation.

January 2025: Delivered a resilience enhancement in Qiskit IBM Runtime by enabling None as a valid layer_noise_model type in ResilienceOptionsV2 and defaulting to noise-learning when the type is not provided. This change reduces configuration friction for users on noisy devices and improves model robustness, with documentation updated to reflect the new default behavior. The implementation (commit 8cf26e41ad1bc5e06911440f6ebbb5c34ea828ac) positions us to improve automatic noise-adaptation and aligns with the product’s resilience goals, setting the stage for broader adoption and easier experimentation in production workloads.

November 2024-11: Delivered Layer Errors Visualization: Swarm Plot and API for Qiskit/qiskit-ibm-runtime, enhancing observability and debugging across runtime layers. Implemented a convenient API to expose individual layer error instances. Updated existing visualizations and tests to accommodate the swarm plot, and added documentation integration for the new visualization. This work improves debugging efficiency, data-driven optimization, and adoption of layer-level error analyses.