The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

The field of nanoscale magnetic resonance imaging (NanoMRI) was started 30 years ago. It
was motivated by the desire to image single molecules and molecular assemblies, such as …

Characterizing the time over which quantum coherence survives is critical for any
implementation of quantum bits, memories, and sensors. The usual method for determining …

Quantum sensors can potentially achieve the Heisenberg limit of sensitivity over a large
dynamic range using quantum algorithms. The adaptive phase estimation algorithm (PEA) is …

An important practical problem in the field of quantum metrology and sensors is to find the
optimal sequences of controls for the quantum probe that realize optimal adaptive …

Efficient quantum sensing technologies rely on the precise control of quantum sensors,
particularly two-level systems or qubits, to optimize estimation processes. We here exploit …

Quantum sensors offer control flexibility during estimation by allowing manipulation by the
experimenter across various parameters. For each sensing platform, pinpointing the optimal …

Quantum metrology aims to measure physical quantities based on fundamental quantum
principles, enhancing measurement precision through resources like quantum …

Accurate models of real quantum systems are important for investigating their behaviour, yet
are difficult to distil empirically. Here, we report an algorithm—the quantum model learning …

In precision measurement and quantum metrology, the 2 π periodicity inherent to any
interferometric signal sets a fundamental limit in the simultaneous achievement of both high …