
Worked on the NVIDIA/cuda-quantum repository to address a critical issue in quantum computing workflows, specifically improving the correctness of sampling in mixed-basis measurements. The solution involved reworking gate operation logic in C++ and Python so that sampling flushes only occurred for qubits that had already been measured, thereby preventing truncation of multi-qubit bitstrings and preserving mid-circuit measurement semantics. Regression tests were added in both languages to verify that mixed-basis kernels returned correctly-sized bitstrings with proper qubit ordering. This targeted bug fix enhanced the reliability of quantum sampling and was accompanied by updated documentation and comprehensive test coverage.
In April 2026, the CUDA Quantum module delivered a critical correctness improvement for sampling in mixed-basis measurements, restoring reliable multi-qubit bitstrings in sampling mode. The key release fixed premature sampling flushes triggered by basis-change gates inside mx/my decompositions, ensuring bitstrings reflect all measured qubits and preserving mid-circuit measurement semantics. The change involved gate-operation rework to flush only when a qubit has already been measured, addressing root causes in mx(q) and its h(q) decomposition, with regression coverage in both C++ and Python.
In April 2026, the CUDA Quantum module delivered a critical correctness improvement for sampling in mixed-basis measurements, restoring reliable multi-qubit bitstrings in sampling mode. The key release fixed premature sampling flushes triggered by basis-change gates inside mx/my decompositions, ensuring bitstrings reflect all measured qubits and preserving mid-circuit measurement semantics. The change involved gate-operation rework to flush only when a qubit has already been measured, addressing root causes in mx(q) and its h(q) decomposition, with regression coverage in both C++ and Python.

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