Mitigating Errors in DC Magnetometry via Zero-Noise Extrapolation
- URL: http://arxiv.org/abs/2402.16949v1
- Date: Mon, 26 Feb 2024 19:00:02 GMT
- Title: Mitigating Errors in DC Magnetometry via Zero-Noise Extrapolation
- Authors: John S. Van Dyke, Zackary White, Gregory Quiroz
- Abstract summary: Zero-noise extrapolation (ZNE) is a technique to estimate quantum circuit expectation values through noise scaling and extrapolation.
We show that the sensitivity (in the sense of the minimum detectable signal) does not improve upon using ZNE in the slope detection scheme.
Our results are robust across various noise models and design choices for the ZNE protocols, including both single-qubit and multi-qubit entanglement-based sensing.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Zero-noise extrapolation (ZNE), a technique to estimate quantum circuit
expectation values through noise scaling and extrapolation, is well-studied in
the context of quantum computing. We examine the applicability of ZNE to the
field of quantum sensing. Focusing on the problem of DC magnetometry using the
Ramsey protocol, we show that the sensitivity (in the sense of the minimum
detectable signal) does not improve upon using ZNE in the slope detection
scheme. On the other hand, signals of sufficiently large magnitude can be
estimated more accurately. Our results are robust across various noise models
and design choices for the ZNE protocols, including both single-qubit and
multi-qubit entanglement-based sensing.
Related papers
- Error-Mitigated Quantum Random Access Memory [5.539966230330662]
We propose a modified version of Zero-Noise Extrapolation (ZNE) that provides for a significant performance enhancement on current noisy devices.
Our results demonstrate the critical role the extrapolation function plays in ZNE.
arXiv Detail & Related papers (2024-03-10T23:19:57Z) - How to harness high-dimensional temporal entanglement, using limited
interferometry setups [62.997667081978825]
We develop the first complete analysis of high-dimensional entanglement in the polarization-time-domain.
We show how to efficiently certify relevant density matrix elements and security parameters for Quantum Key Distribution.
We propose a novel setup that can further enhance the noise resistance of free-space quantum communication.
arXiv Detail & Related papers (2023-08-08T17:44:43Z) - Semi-device independent nonlocality certification for near-term quantum
networks [46.37108901286964]
Bell tests are the most rigorous method for verifying entanglement in quantum networks.
If there is any signaling between the parties, then the violation of Bell inequalities can no longer be used.
We propose a semi-device independent protocol that allows us to numerically correct for effects of correlations in experimental probability distributions.
arXiv Detail & Related papers (2023-05-23T14:39:08Z) - Importance sampling for stochastic quantum simulations [68.8204255655161]
We introduce the qDrift protocol, which builds random product formulas by sampling from the Hamiltonian according to the coefficients.
We show that the simulation cost can be reduced while achieving the same accuracy, by considering the individual simulation cost during the sampling stage.
Results are confirmed by numerical simulations performed on a lattice nuclear effective field theory.
arXiv Detail & Related papers (2022-12-12T15:06:32Z) - Signal Detection in MIMO Systems with Hardware Imperfections: Message
Passing on Neural Networks [101.59367762974371]
In this paper, we investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments.
It is difficult to train a deep neural network (DNN) with limited pilot signals, hindering its practical applications.
We design an efficient message passing based Bayesian signal detector, leveraging the unitary approximate message passing (UAMP) algorithm.
arXiv Detail & Related papers (2022-10-08T04:32:58Z) - General Hamiltonian Representation of ML Detection Relying on the
Quantum Approximate Optimization Algorithm [74.6114458993128]
The quantum approximate optimization algorithm (QAOA) conceived for solving optimization problems can be run on the existing noisy intermediate-scale quantum (NISQ) devices.
We solve the maximum likelihood (ML) detection problem for general constellations by appropriately adapting the QAOA.
In particular, for an M-ary Gray-mapped quadrature amplitude modulation (MQAM) constellation, we show that the specific qubits encoding the in-phase components and those encoding the quadrature components are independent in the quantum system of interest.
arXiv Detail & Related papers (2022-04-11T14:11:24Z) - Benchmarking Machine Learning Algorithms for Adaptive Quantum Phase
Estimation with Noisy Intermediate-Scale Quantum Sensors [0.0]
We show that adaptive methods can be used to enhance the precision of quantum phase estimation when noisy non-entangled qubits are used as sensors.
We benchmark these schemes with respect to scenarios that include Gaussian and Random Telegraph fluctuations.
We discuss their robustness against noise in connection with real experimental setups such as Mach-Zehnder interferometry with optical photons and Ramsey interferometry in trapped ions.
arXiv Detail & Related papers (2021-08-16T09:10:32Z) - Near-Field Terahertz Nanoscopy of Coplanar Microwave Resonators [61.035185179008224]
Superconducting quantum circuits are one of the leading quantum computing platforms.
To advance superconducting quantum computing to a point of practical importance, it is critical to identify and address material imperfections that lead to decoherence.
Here, we use terahertz Scanning Near-field Optical Microscopy to probe the local dielectric properties and carrier concentrations of wet-etched aluminum resonators on silicon.
arXiv Detail & Related papers (2021-06-24T11:06:34Z) - Error mitigation in quantum metrology via zero noise extrapolation [1.044291921757248]
We consider Zero Noise Extrapolation (ZNE) as an error mitigation strategy in quantum metrology.
ZNE can be an effective, resource efficient error mitigation alternative when strategies employing full quantum error correcting codes are unavailable.
arXiv Detail & Related papers (2021-01-11T08:52:27Z) - Digital zero noise extrapolation for quantum error mitigation [1.3701366534590498]
Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations.
We propose several improvements to noise scaling and extrapolation, the two key components in the technique.
Benchmarks of our techniques show error reductions of 18X to 24X over non-mitigated circuits.
This work is a self-contained introduction to the practical use of ZNE by quantum programmers.
arXiv Detail & Related papers (2020-05-21T21:56:40Z) - Optimal control for quantum detectors [0.0]
We find the optimal quantum control to detect an external signal in the presence of background noise using a quantum sensor.
For white background noise, the optimal solution is the simple and well-known spin-locking control scheme.
Results show that an optimal detection scheme can be easily implemented in near-term quantum sensors without the need for complicated pulse shaping.
arXiv Detail & Related papers (2020-05-12T18:15:59Z)
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.