Learning quantum systems
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …
quantum systems of increasing complexity, with key applications in computation, simulation …
Engineered dissipation for quantum information science
Quantum information processing relies on the precise control of non-classical states in the
presence of many uncontrolled environmental degrees of freedom. The interactions …
presence of many uncontrolled environmental degrees of freedom. The interactions …
[HTML][HTML] Deep reinforcement learning for quantum multiparameter estimation
Estimation of physical quantities is at the core of most scientific research, and the use of
quantum devices promises to enhance its performances. In real scenarios, it is fundamental …
quantum devices promises to enhance its performances. In real scenarios, it is fundamental …
Critical quantum metrology assisted by real-time feedback control
R Salvia, M Mehboudi, M Perarnau-Llobet - Physical Review Letters, 2023 - APS
We investigate critical quantum metrology, that is, the estimation of parameters in many-
body systems close to a quantum critical point, through the lens of Bayesian inference …
body systems close to a quantum critical point, through the lens of Bayesian inference …
End-to-end variational quantum sensing
Harnessing quantum correlations can enable sensing beyond classical precision limits, with
the realization of such sensors poised for transformative impacts across science and …
the realization of such sensors poised for transformative impacts across science and …
Experimental multiparameter quantum metrology in adaptive regime
Relevant metrological scenarios involve the simultaneous estimation of multiple parameters.
The fundamental ingredient to achieve quantum-enhanced performance is based on the use …
The fundamental ingredient to achieve quantum-enhanced performance is based on the use …
Calibration of multiparameter sensors via machine learning at the single-photon level
Calibration of sensors is a fundamental step in validating their operation. This can be a
demanding task, as it relies on acquiring detailed modeling of the device, which can be …
demanding task, as it relies on acquiring detailed modeling of the device, which can be …
Atomic clock locking with Bayesian quantum parameter estimation: Scheme and experiment
C Han, Z Ma, Y Qiu, R Fang, J Wu, C Zhan, M Li… - Physical Review …, 2024 - APS
Atomic clocks are crucial for science and technology, but their sensitivity is often restricted by
the standard quantum limit. To surpass this limit, correlations between particles or …
the standard quantum limit. To surpass this limit, correlations between particles or …
Bayesian quantum multiphase estimation algorithm
Quantum phase estimation (QPE) is the key subroutine of several quantum computing
algorithms as well as a central ingredient in quantum computational chemistry and quantum …
algorithms as well as a central ingredient in quantum computational chemistry and quantum …
Scalable quantum metrology via recursive optimization
Achieving higher precision in quantum metrology demands the optimization of both
entangled-state preparation and readout processes. However, direct machine optimization …
entangled-state preparation and readout processes. However, direct machine optimization …