Quantum computing SDKs lack observability. We built QObserva to fix that.

Over the past few months, we’ve been working extensively with quantum SDKs like Qiskit, Cirq, and Amazon Braket. Building circuits and running jobs is becoming more accessible, but we kept running into the same friction point—not in execution, but in understanding what actually happened after a run. At a small scale, things feel manageable. You run a few experiments, inspect results, maybe store some outputs. But as soon as you start iterating—changing parameters, switching backends, or comparing runs over time—the workflow becomes harder to reason about. Context gets scattered across notebooks, logs, and ad-hoc scripts, and simple questions become surprisingly difficult to answer. The problem: runs without context As workflows grow, we repeatedly ran into questions like: Which backend produced this result? What changed between two runs? Why did performance drop this week? Are we comparing equivalent experiments across SDKs? None of these questions are inherently complex. The issue is