Also known as linear quantum systems · coherent feedback · quantum networks · input-output theory · SLH · LQG · H-infinity · quantum stochastic differential equations
Many quantum devices are networks: cavities, waveguides, beam splitters, amplifiers and atoms connected by propagating
fields. Linear quantum systems theory describes such networks with the tools of systems engineering — state-space
models, transfer functions, interconnections — while respecting quantum mechanics. Its most distinctive idea is
coherent feedback. The output field of a system is processed by another quantum system and fed back, with no
measurement in the loop.
Input–output and quantum stochastic models
A system coupled to a field is modelled by quantum stochastic differential equations: the field acts as quantum noise
driving the system, and the system modifies the outgoing field [1, 2]. In the
SLH framework, each component is described by a triple \((S, L, H)\): a scattering matrix for the fields, coupling
operators to the fields, and an internal Hamiltonian. Networks are assembled with the series and concatenation
products [3, 4].
When the dynamics is linear in the quadratures \(x\) — cavities, beam splitters, parametric amplifiers, squeezers —
the model takes the familiar engineering form
with the field noise \(dw\) as input and the output field \(dy\). Quantum mechanics enters through physical
realizability conditions that constrain \((A, B, C, D)\) so that commutation relations are preserved
[5, 6].
Control design
H-infinity control. Robust controllers that bound the effect of disturbances can be designed for linear quantum
systems, including controllers that are themselves quantum [7].
Coherent LQG. The linear-quadratic-Gaussian problem can be formulated with a quantum controller and fully quantum
plant outputs [8].
Experiments. An all-optical coherent-feedback controller with a dynamic compensator achieved about 7 dB of
broadband disturbance rejection on an optical ring resonator [9]. Coherent feedback enhanced
optical squeezing, with time delays and losses limiting the benefit [10].
Coherent versus measurement-based feedback
Which is better depends on the task. In some settings all-optical and electro-optical feedback give identical effects
on the controlled cavity [11]. Coherent feedback, in principle, avoids measurement back-action
[12]. For cooling optical and optomechanical resonators, coherent schemes can outperform the best
measurement-based LQG schemes in the quantum regime, because the coherent controller can process non-commuting output
quadratures simultaneously [13]. A systematic comparison within linear systems theory maps out
where each approach is advantageous [14]. See Measurement-based feedback.
Why it matters
Modular design. Photonic and microwave circuits can be designed like classical networks, with component models
that compose correctly; see Photonic & optomechanical systems.
Bosonic modes. Linear systems theory is the natural language for Gaussian control of oscillators, while
non-Gaussian control needs nonlinear elements; see Bosonic & continuous-variable control.
Key papers
C. W. Gardiner and M. J. CollettInput and output in damped quantum systems: Quantum stochastic differential equations and the master equationPhys. Rev. A31, 3761-3774 (1985)doi
Input–output theory — how damped quantum systems couple to propagating fields, via quantum stochastic differential equations and the master equation.
J. Gough and M.R. JamesThe Series Product and Its Application to Quantum Feedforward and Feedback NetworksIEEE Trans. Automat. Contr.54, 2530-2544 (2009)doi
The series product. An algebra for connecting quantum systems in feedforward and feedback networks, the core of the SLH framework.
M.R. James, H.I. Nurdin and I.R. Petersen$H^{\infty}$ Control of Linear Quantum Stochastic SystemsIEEE Trans. Automat. Contr.53, 1787-1803 (2008)doi
H-infinity control for linear quantum stochastic systems, including controllers that are themselves quantum (coherent feedback).
Hideo MabuchiCoherent-feedback quantum control with a dynamic compensatorPhys. Rev. A78, 032323 (2008)doi
An experimental coherent-feedback controller — all-optical disturbance rejection with a tailored dynamic compensator.
Joshua Combes, Joseph Kerckhoff and Mohan SarovarThe SLH framework for modeling quantum input-output networksAdvances in Physics: X2, 784-888 (2017)doi
A review of the SLH framework for modeling quantum input–output networks.
References
R. L. Hudson and K. R. ParthasarathyQuantum Ito's formula and stochastic evolutionsCommun.Math. Phys.93, 301-323 (1984)doi
C. W. Gardiner and M. J. CollettInput and output in damped quantum systems: Quantum stochastic differential equations and the master equationPhys. Rev. A31, 3761-3774 (1985)doi
J. Gough and M.R. JamesThe Series Product and Its Application to Quantum Feedforward and Feedback NetworksIEEE Trans. Automat. Contr.54, 2530-2544 (2009)doi
Joshua Combes, Joseph Kerckhoff and Mohan SarovarThe SLH framework for modeling quantum input-output networksAdvances in Physics: X2, 784-888 (2017)doi
Ian R. PetersenQuantum Linear Systems TheoryOpen Autom. Control Syst. J.8, 67-93 (2016)doi
Hendra I Nurdin and Naoki YamamotoLinear Dynamical Quantum SystemsSpringer International Publishing (2017)doi
M.R. James, H.I. Nurdin and I.R. Petersen$H^{\infty}$ Control of Linear Quantum Stochastic SystemsIEEE Trans. Automat. Contr.53, 1787-1803 (2008)doi
Hendra I. Nurdin, Matthew R. James and Ian R. PetersenCoherent quantum LQG controlAutomatica45, 1837-1846 (2009)doi
Hideo MabuchiCoherent-feedback quantum control with a dynamic compensatorPhys. Rev. A78, 032323 (2008)doi
S. Iida, M. Yukawa, H. Yonezawa, N. Yamamoto and A. FurusawaExperimental Demonstration of Coherent Feedback Control on Optical Field SqueezingIEEE Trans. Automat. Contr.57, 2045-2050 (2012)doi
H. M. Wiseman and G. J. MilburnAll-optical versus electro-optical quantum-limited feedbackPhys. Rev. A49, 4110-4125 (1994)doi
Ryan Hamerly and Hideo MabuchiAdvantages of Coherent Feedback for Cooling Quantum OscillatorsPhys. Rev. Lett.109, 173602 (2012)doi
Naoki YamamotoCoherent versus Measurement Feedback: Linear Systems Theory for Quantum InformationPhys. Rev. X4, 041029 (2014)doi
Joseph Kerckhoff, Hendra I. Nurdin, Dmitri S. Pavlichin and Hideo MabuchiDesigning Quantum Memories with Embedded Control: Photonic Circuits for Autonomous Quantum Error CorrectionPhys. Rev. Lett.105, 040502 (2010)doi
Recent papers
225 tracked papers since 2000 are classified
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Feed
We propose a scheme for generating and controlling remote nonreciprocal magnon--magnon entanglement in a cavity magnonic system with coherent feedback.The two microwave cavities are driven by independent single-mode squeezed vacuum fields, with a rotating YIG sphere in the left cavity and a stationary one in the right cavity. For a fixed rotation direction, reversing the bias magnetic field applied to the rotating sphere changes the sign of the Barnett shift, leading to nonreciprocal magnon--magnon entanglement. By tuning the cavity detuning and feedback phase, entanglement can be generated for one direction of the bias magnetic field while it vanishes for the opposite direction, yielding complete nonreciprocity. Coherent feedback enhances the entanglement at an appropriate reflectivity, whereas stronger feedback can reduce it. The relative squeezing phase provides additional control, and an appropriate choice of unequal squeezing factors improves the entanglement at fixed total input photon occupation. With the squeezed inputs kept fixed, moderate feedback also increases the critical temperature for magnon entanglement.Our results provide a controllable approach to preparing remote nonreciprocal quantum correlations in cavity magnonic systems.
Multiparameter quantum estimation in open optomechanical systems is fundamentally constrained by dissipation, thermal fluctuations, and measurement incompatibility. In this work, we investigate a coupled cavity optomechanical platform in which two mechanical modes interact with driven optical cavities, two mode squeezed vacuum, intracavity degenerate parametric amplification, and coherent optical feedback. Using the continuous variable Gaussian state formalism, we derive the linearized quantum Langevin dynamics and steady state covariance matrix and evaluate the quantum Fisher information matrices associated with simultaneous estimation of the optomechanical coupling strength and cavity dissipation rate. We characterize the precision bounds using the symmetric and right logarithmic derivative formalisms and employ $\mathcal{B}_{\rm MI}=\max\{\mathcal{B}_S,\mathcal{B}_R\}$ as a comparative figure of merit within the SLD/RLD framework. We find that parametric amplification can substantially reduce the most informative bound, $\mathcal{B}_{\rm MI}$, thereby enhancing multiparameter estimation precision over a broad range of operating conditions. Coherent feedback can further reduce $\mathcal{B}_{\rm MI}$ and improve the estimation precision, particularly in the strong feedback regime. Moreover, the simultaneous presence of coherent feedback, parametric amplification, and squeezed light injection provides a combined mechanism for controlling quantum fluctuations and parameter dependent correlations, leading to enhanced and more robust multiparameter estimation. We further analyze the dynamical and steady state regimes to identify the parameter regions in which these quantum resources provide the largest metrological gain. Our results establish coupled cavity optomechanics as a flexible platform for quantum-noise engineering in multiparameter sensing.
Fibre-based quantum networks distributing polarization entanglement require a stable and uninterrupted transmission basis for reliable operation. Bright classical reference light enables rapid polarization feedback but can introduce noise into quantum channels. Entangled-photon-based feedback avoids this noise, but typically interrupts the target entanglement channel during calibration and becomes prohibitively slow over long distances due to the product loss of fibre links. Here, we overcome both limitations by combining wavelength-bracketed probing with switch-enabled path decomposition. Spectrally adjacent entangled-photon sidebands track the polarization response of the central distribution channel without interrupting its transmission, while optical switches and local reference fibres independently determine the signal and idler network transformations. Transferring the resulting compensation settings to the central channel eliminates calibration-induced downtime and changes the acquisition-time scaling from the product of the link losses to the sum of losses. We demonstrate the method on a 133 km fibre testbed and achieve continuous closed-loop stabilization for more than 24 hours without classical reference light. The decomposition of multi-link quantum feedback into single-link measurements provides a scalable stabilization strategy for wavelength-multiplexed quantum networks.
Phase-space methods are powerful tools for the treatment of Markovian open quantum systems: they map the reduced dynamics of a system S, in interaction with an environment E, exactly onto Langevin equations for c-number stochastic variables, as opposed to Heisenberg-Langevin equations for operators. Langevin equations provide analytical insight in key regimes and excel at handling strong nonlinearities and couplings, where other methods often falter. Extending phase-space methods to non-Markovian dynamics, however, has remained a long-standing challenge. Here we address this gap by applying phase-space representations to the full S+E system; integrating out the environmental degrees of freedom then yields a general Langevin framework for S that incorporates both deterministic and stochastic contributions from E. Normally ordered representations, such as the Glauber-Sudarshan P representation and its positive variant due to Drummond and Gardiner, lead to Langevin equations in which (i) non-Markovian effects emerge exclusively in the deterministic terms, via a memory kernel, and (ii) noise contributions vanish when E is initially in the vacuum state. To demonstrate the power of this framework, we address the paradigmatic problem of delayed coherent feedback, in which the system is driven by its own past state, and study its impact on the laser linewidth: we recover the narrowing observed well above threshold and predict an enhanced narrowing just above it. Crucially, the number of stochastic variables scales linearly with the system size, making the framework suitable for problems ranging from a few degrees of freedom to genuinely many-body systems. This opens the way to the systematic study of non-Markovian driven-dissipative quantum systems using the same analytical and numerical tools that have long made phase-space methods so successful in the Markovian regime.
Quantum Feedback Network Theory (also known colloquially as the SLH-framework) is a powerful tool for modeling systems in quantum optics. This paper describes a method for discretising SLH-networks such that they can be implemented on a quantum computer. Building on a discretisation theorem for quantum stochastic differential equations, we establish strong convergence, uniformly on compact time intervals, of the discretised system to the continuous SLH-network as the discretisation mesh goes to zero.