Smoothing is an estimation technique that takes into account both past and future observations and can be more accurate than filtering alone. In this Letter, a quantum theory of smoothing is constructed using a time-symmetric formalism, thereby generalizing prior work on classical and quantum filtering, retrodiction, and smoothing. The proposed theory solves the important problem of optimally estimating classical Markov processes coupled to a quantum system under continuous measurements, and is thus expected to find major applications in future quantum sensing systems, such as gravitational wave detectors and atomic magnetometers
In this thesis we focus on Gaussian quantum metrology in the phase-space formalism and its applicati...
AbstractA class of linear stochastic differential equations in Hilbert spaces is studied, which allo...
We give a tutorial exposition of the analogue of the filtering equation for quantum systems focusing...
Classical and quantum theories of time-symmetric smoothing, which can be used to optimally estimate ...
The time-symmetric quantum smoothing theory [Tsang, Phys. Rev. Lett. 102, 250403 (2009); Phys. Rev. ...
The purpose of this paper is to introduce the quantum filtering and a smoothing theory for Markovian...
Quantum parameter estimation has many applications, from gravitational wave detection to quantum key...
Quantum parameter estimation has many applications, from gravitational wave detection to quantum key...
This paper provides an introduction to quantum filtering theory. An introduction to quantum probabil...
In quantum mechanics, the measurement outcome of an observable in a quantum system is intrinsically ...
Abstract. Time-continuous non-anticipating quantum processes of nonde-molition measurements are intr...
This thesis explores the topics of parameter estimation and model reduction in the context of quant...
We consider a quantum system continuously monitored in time which in turn is coupled to an arbitrary...
A class of linear stochastic differential equations in Hilbert spaces is studied, which allows to co...
Adaptive homodyne estimation of a continuously-evolving phase using smoothing was earlier demonstrat...
In this thesis we focus on Gaussian quantum metrology in the phase-space formalism and its applicati...
AbstractA class of linear stochastic differential equations in Hilbert spaces is studied, which allo...
We give a tutorial exposition of the analogue of the filtering equation for quantum systems focusing...
Classical and quantum theories of time-symmetric smoothing, which can be used to optimally estimate ...
The time-symmetric quantum smoothing theory [Tsang, Phys. Rev. Lett. 102, 250403 (2009); Phys. Rev. ...
The purpose of this paper is to introduce the quantum filtering and a smoothing theory for Markovian...
Quantum parameter estimation has many applications, from gravitational wave detection to quantum key...
Quantum parameter estimation has many applications, from gravitational wave detection to quantum key...
This paper provides an introduction to quantum filtering theory. An introduction to quantum probabil...
In quantum mechanics, the measurement outcome of an observable in a quantum system is intrinsically ...
Abstract. Time-continuous non-anticipating quantum processes of nonde-molition measurements are intr...
This thesis explores the topics of parameter estimation and model reduction in the context of quant...
We consider a quantum system continuously monitored in time which in turn is coupled to an arbitrary...
A class of linear stochastic differential equations in Hilbert spaces is studied, which allows to co...
Adaptive homodyne estimation of a continuously-evolving phase using smoothing was earlier demonstrat...
In this thesis we focus on Gaussian quantum metrology in the phase-space formalism and its applicati...
AbstractA class of linear stochastic differential equations in Hilbert spaces is studied, which allo...
We give a tutorial exposition of the analogue of the filtering equation for quantum systems focusing...