A search algorithm for quantum state engineering and metrology
arXiv:1511.05327 · doi:10.1088/1367-2630/18/7/073033
Abstract
In this paper we present a search algorithm that finds useful optical quantum states which can be created with current technology. We apply the algorithm to the field of quantum metrology with the goal of finding states that can measure a phase shift to a high precision. Our algorithm efficiently produces a number of novel solutions: we find experimentally-ready schemes to produce states that show significant improvements over the state-of-the-art, and can measure with a precision that beats the shot noise limit by over a factor of 4. Furthermore, these states demonstrate a robustness to moderate/high photon losses, and we present a conceptually simple measurement scheme that saturates the Cramér-Rao bound.
8 pages
References in corpus (16)
- Quantum memories: emerging applications and recent advances
- Quantum Metrology for Gravitational Wave Astronomy
- Mach-Zehnder Interferometry at the Heisenberg Limit with coherent and squeezed-vacuum light
- Photon number resolution using a time-multiplexed single-photon detector
- Magnetic field sensing beyond the standard quantum limit using 10-spin NOON states
- Generation of Optical Coherent State Superpositions by Number-Resolved Photon Subtraction from Squeezed Vacuum
- Strong interaction between light and a single trapped atom without a cavity
- Quantum homodyne tomography of a two-photon Fock state
- Quantum Non-Demolition Detection of Strongly Correlated Systems
- Generating superposition of up-to three photons for continuous variable quantum information processing
- Optical synthesis of large-amplitude squeezed coherent-state superpositions with minimal resources
- All path-symmetric pure states achieve their maximal phase sensitivity in conventional two-path interferometry
- Quantum Teleportation with Continuous Variables: a survey
- Multi-photon state engineering by heralded interference between single photons and coherent states
- A high-fidelity single-photon source based on a type-II optical parametric oscillator
- Sampling arbitrary photon-added or photon-subtracted squeezed states is in the same complexity class as boson sampling
Cited by in corpus (38)
- Artificial Intelligence and Machine Learning for Quantum Technologies
- Multiparameter Gaussian Quantum Metrology
- Machine learning method for state preparation and gate synthesis on photonic quantum computers
- Quantum autoencoders to denoise quantum data
- Optimized Entanglement Purification
- Variational-State Quantum Metrology
- Flexible resources for quantum metrology
- Computer-inspired Quantum Experiments
- Local versus Global Strategies in Multi-parameter Estimation
- Computer-inspired concept for high-dimensional multipartite quantum gates
- Optimal Scheme for Quantum Metrology
- Production of photonic universal quantum gates enhanced by machine learning
- Symmetric Logarithmic Derivative of Fermionic Gaussian States
- QuanEstimation: An open-source toolkit for quantum parameter estimation
- Conceptual understanding through efficient inverse-design of quantum optical experiments
- Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
- Arbitrary d-dimensional Pauli X-Gates of a flying Qudit
- Robust calibration of multiparameter sensors via machine learning at the single-photon level
- Designing quantum experiments with a genetic algorithm
- Setting up experimental Bell test with reinforcement learning
- Scientific intuition inspired by machine learning generated hypotheses
- Digital Discovery of 100 diverse Quantum Experiments with PyTheus
- Quantum Computer-Aided design of Quantum Optics Hardware
- Estimating phase with a random generator: Strategies and resources in multiparameter quantum metrology
- Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
- Neural-network approach for identifying nonclassicality from click-counting data
- Quantum Receiver Enhanced by Adaptive Learning
- XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy
- No-go theorems for photon state transformations in quantum linear optics
- Evolving Quantum Circuits
- Identifying network topologies via quantum walk distributions
- Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
- Meta-Designing Quantum Experiments with Language Models
- Digital Discovery of a Scientific Concept at the Core of Experimental Quantum Optics
- Improved Tomographic Estimates by Specialised Neural Networks
- Quantum Optical Experiments Modeled by Long Short-Term Memory
- QOptCraft: A Python package for the design and study of linear optical quantum systems
- Quantum process matrices as images: new tools to design novel denoising methods