Claire Edmunds

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About

Claire Edmunds is a quantum computing researcher whose work sits at the intersection of quantum sensing, noise characterization, and error mitigation. Her research addresses a critical challenge in the field: how to efficiently identify and manage the spatially varying noise environments that degrade qubit performance in quantum processors. In her most-cited work, "Adaptive characterization of spatially inhomogeneous fields and errors in qubit registers" (2020, 11 citations), Edmunds explores how qubits themselves can serve as integrated sensors, providing actionable calibration information for neighboring data qubits — a novel architectural insight with practical implications for near-term quantum devices. Her earlier paper, "Autonomous adaptive noise characterization in quantum computers" (2019, 5 citations), laid foundational groundwork for making these sensing schemes autonomous and information-efficient, reducing the overhead typically associated with noise diagnostics. Together, these contributions position Edmunds as an emerging voice in the quantum error characterization community, tackling problems that grow increasingly urgent as quantum processors scale up in qubit count and complexity. Her focus on adaptive, resource-conscious methods reflects a pragmatic approach to building more reliable quantum computing systems.