Enhanced super-Heisenberg scaling precision by nonlinear coupling and
postselection
- URL: http://arxiv.org/abs/2308.08113v1
- Date: Wed, 16 Aug 2023 02:57:22 GMT
- Title: Enhanced super-Heisenberg scaling precision by nonlinear coupling and
postselection
- Authors: Lupei Qin, Jialin Li, Yazhi Niu, Xin-Qi Li
- Abstract summary: We show that metrological precision can be enhanced from the $1/Nfrac32$ super-Heisenberg scaling to $1/N2$, by simply employing a pre- and post-selection (PPS) technique.
- Score: 2.242808511733337
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In quantum precision metrology, the famous result of Heisenberg limit scaling
as $1/N$ (with $N$ the number of probes) can be surpassed by considering
nonlinear coupling measurement. In this work, we consider the most
practice-relevant quadratic nonlinear coupling and show that the metrological
precision can be enhanced from the $1/N^{\frac{3}{2}}$ super-Heisenberg scaling
to $1/N^2$, by simply employing a pre- and post-selection (PPS) technique, but
not using any expensive quantum resources such as quantum entangled state of
probes.
Related papers
- Optimizing random local Hamiltonians by dissipation [44.99833362998488]
We prove that a simplified quantum Gibbs sampling algorithm achieves a $Omega(frac1k)$-fraction approximation of the optimum.
Our results suggest that finding low-energy states for sparsified (quasi)local spin and fermionic models is quantumly easy but classically nontrivial.
arXiv Detail & Related papers (2024-11-04T20:21:16Z) - Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks [54.177130905659155]
Recent studies show that a reproducing kernel Hilbert space (RKHS) is not a suitable space to model functions by neural networks.
In this paper, we study a suitable function space for over- parameterized two-layer neural networks with bounded norms.
arXiv Detail & Related papers (2024-04-29T15:04:07Z) - Towards large-scale quantum optimization solvers with few qubits [59.63282173947468]
We introduce a variational quantum solver for optimizations over $m=mathcalO(nk)$ binary variables using only $n$ qubits, with tunable $k>1$.
We analytically prove that the specific qubit-efficient encoding brings in a super-polynomial mitigation of barren plateaus as a built-in feature.
arXiv Detail & Related papers (2024-01-17T18:59:38Z) - Quantum estimation of Kerr nonlinearity in driven-dissipative systems [1.430924337853801]
We investigate the quantum measurement of Kerr nonlinearity in a driven-dissipative system.
In the steady state, the "super-Heisenberg scaling" $1/N3/2$ can only be achieved when the nonlinearity parameter is close to 0.
arXiv Detail & Related papers (2022-04-12T07:16:49Z) - Unimon qubit [42.83899285555746]
Superconducting qubits are one of the most promising candidates to implement quantum computers.
Here, we introduce and demonstrate a superconducting-qubit type, the unimon, which combines the desired properties of high non-linearity, full insensitivity to dc charge noise, insensitivity to flux noise, and a simple structure consisting only of a single Josephson junction in a resonator.
arXiv Detail & Related papers (2022-03-11T12:57:43Z) - Non-asymptotic Heisenberg scaling: experimental metrology for a wide
resources range [1.172672077690852]
We show a method which suitably allocates the available resources reaching Heisenberg scaling without any prior information on the parameter.
We quantitatively verify Heisenberg scaling for a considerable range of $N$ by using single-photon states with high-order orbital angular momentum.
arXiv Detail & Related papers (2021-10-06T16:39:24Z) - Quantum probes for the characterization of nonlinear media [50.591267188664666]
We investigate how squeezed probes may improve individual and joint estimation of the nonlinear coupling $tildelambda$ and of the nonlinearity order $zeta$.
We conclude that quantum probes represent a resource to enhance precision in the characterization of nonlinear media, and foresee potential applications with current technology.
arXiv Detail & Related papers (2021-09-16T15:40:36Z) - Enhanced nonlinear quantum metrology with weakly coupled solitons and
particle losses [58.720142291102135]
We offer an interferometric procedure for phase parameters estimation at the Heisenberg (up to 1/N) and super-Heisenberg scaling levels.
The heart of our setup is the novel soliton Josephson Junction (SJJ) system providing the formation of the quantum probe.
We illustrate that such states are close to the optimal ones even with moderate losses.
arXiv Detail & Related papers (2021-08-07T09:29:23Z) - Asymptotic optimality of twist-untwist protocols for Heisenberg scaling
in atomic interferometry [0.0]
We prove that twist-untwist protocols provide the lowest estimation error among quantum metrology protocols.
We consider all-to-all interactions generated by one-axis twisting.
We show that the error of a twist-untwist protocol can be decreased by a factor of $L$ without an increase in the noise of spin measurement.
arXiv Detail & Related papers (2021-04-13T22:29:26Z) - Quantum metrology with precision reaching beyond-$1/N$ scaling through
$N$-probe entanglement generating interactions [12.257762263903317]
We propose a quantum measurement scenario based on the nonlinear interaction of $N$-probe entanglement generating form.
This scenario provides an enhanced precision scaling of $D-N/(N-1)!$ with $D > 2$ a tunable parameter.
arXiv Detail & Related papers (2021-02-14T05:50:05Z) - Heisenberg scaling precision in multi-mode distributed quantum metrology [0.0]
We propose an $N$-photon Gaussian measurement scheme which allows the estimation of a parameter $varphi$ encoded into a multi-port interferometer.
No restrictions on the structure of the interferometer are imposed other than linearity and passivity.
arXiv Detail & Related papers (2020-03-27T17:34:25Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.