Quantum metrology with quantum-chaotic sensors

Fiderer, Lukas J.; Braun, Daniel

doi:10.1038/s41467-018-03623-z

Cited by 65 publications

(56 citation statements)

References 53 publications

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“…but starts to decay rapidly towards zero. The time when the QFI reaches its maximum was found to decay roughly as ( ) g j 1 sr with spin size j and damping rate γ sr [33]. The situation changes with the introduction of nonlinear kicks.…”

Section: Resultsmentioning

confidence: 96%

“…We compare the QFI for different models: (i) the top (simple precession without kicks), (ii) the standard KT, as studied in [33], with periodic kicks (period τ=1, i.e. a precession angle of π/2 for one period, and kicking strength k=30), and (iii) the generalized KT optimized with RL.…”

Section: Resultsmentioning

confidence: 99%

“…In an atomic spin-precession magnetometer, as discussed in [33], the first summand corresponds to a Larmor precession characterized by the Larmor frequency w m…”

Section: The Systemmentioning

confidence: 99%

“…Dynamics of the standard KT is non-integrable for k>0 and has a well defined classical limit that shows a transition from regular to chaotic dynamics when k is increased. In [33] the behavior of the QFI for regular and chaotic dynamics was studied in this transition regime (for k=3 and ω=π/2) which manifests itself by a mixed classical phase space between regular and chaotic dynamics. Quantum chaos is defined as quantum dynamics that becomes chaotic in the classical limit.…”

Section: The Systemmentioning

confidence: 99%

“…Adding nonlinear kicks to the otherwise regular dynamics comes along with a large number of new degrees of freedom that remained so far unexplored: rather than kicking the system periodically with always the same strength and with the same preferred axis as in [33], one can try to optimize each kick individually, i.e. vary its timing, strength, or rotation axis.…”

Section: Introductionmentioning

confidence: 99%

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Improving the dynamics of quantum sensors with reinforcement learning

2020

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Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while using classical initial states that are easy to prepare. Here, we use the cross-entropy method of reinforcement learning (RL) to optimize the strength and position of control pulses. Compared to the quantumchaotic sensors with periodic control pulses in the presence of superradiant damping, we find that decoherence can be fought even better and measurement precision can be enhanced further by optimizing the control. In some examples, we find enhancements in sensitivity by more than an order of magnitude. By visualizing the evolution of the quantum state, the mechanism exploited by the RL method is identified as a kind of spin-squeezing strategy that is adapted to the superradiant damping.

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Section: Resultsmentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

“…In an atomic spin-precession magnetometer, as discussed in [33], the first summand corresponds to a Larmor precession characterized by the Larmor frequency w m…”

Section: The Systemmentioning

confidence: 99%

Section: The Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improving the dynamics of quantum sensors with reinforcement learning

2020

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Donor Spins in Silicon for Quantum Technologies

et al. 2020

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Dopant atoms are ubiquitous in semiconductor technologies, providing the tailored electronic properties that underpin the modern digital information era. Harnessing the quantum nature of these atomic‐scale objects represents a new and exciting technological revolution. In this article, the use of ion‐implanted donor spins in silicon for quantum technologies is described. It is reviewed how to fabricate and operate single‐atom spin qubits in silicon, obtaining some of the most coherent solid‐state qubits, and pathways to scale up these qubits to build large quantum processors are discussed. Heavier group‐V donors with large nuclear spins display electric quadrupole couplings that enable nuclear electric resonance, quantum chaos, and strain sensing. Donor ensembles can be coupled to microwave cavities to develop hybrid quantum Turing machines. Counted, deterministic implantation of single donors, combined with novel methods for precision placement, will allow the integration of individual donor spins with industry‐standard silicon fabrication processes, making implanted donors a prime physical platform for the second quantum revolution.

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Quantum Metrology in the Noisy Intermediate‐Scale Quantum Era

Jiao,

Wu,

Bai

et al. 2023

Adv Quantum Tech

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Quantum metrology pursues the physical realization of higher‐precision measurements to physical quantities than the classically achievable limit by exploiting quantum features, such as entanglement and squeezing, as resources. It has potential applications in developing next‐generation frequency standards, magnetometers, radar, and navigation. However, the ubiquitous decoherence in the quantum world degrades the quantum resources and forces the precision back to or even worse than the classical limit, which is called the no‐go theorem of noisy quantum metrology and greatly hinders its applications. Therefore, how to realize the promised performance of quantum metrology in realistic noisy situations attracts much attention in recent years. The principle, categories, and applications of quantum metrology are reviewed. Special attention is paid to different quantum resources that can bring quantum superiority in enhancing sensitivity. Then, the no‐go theorem of noisy quantum metrology and its active control under different kinds of noise‐induced decoherence situations are introduced.

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Quantum metrology with quantum-chaotic sensors

Cited by 65 publications

References 53 publications

Improving the dynamics of quantum sensors with reinforcement learning

Improving the dynamics of quantum sensors with reinforcement learning

Donor Spins in Silicon for Quantum Technologies

Quantum Metrology in the Noisy Intermediate‐Scale Quantum Era

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