Post-processed estimation of quantum state trajectories
- URL: http://arxiv.org/abs/2510.16754v2
- Date: Mon, 27 Oct 2025 05:58:21 GMT
- Title: Post-processed estimation of quantum state trajectories
- Authors: Soroush Khademi, Jesse J. Slim, Kiarn T. Laverick, Jin Chang, Jingkun Guo, Simon Gröblacher, Howard M. Wiseman, Warwick P. Bowen,
- Abstract summary: We show that future information can be incorporated when reconstructing the trajectories of quantum states.<n>These results establish that future information can enhance quantum trajectory reconstruction, with potential applications across quantum sensing, control, and error correction.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Weak quantum measurements enable real-time tracking and control of dynamical quantum systems, producing quantum trajectories -- evolutions of the quantum state of the system conditioned on measurement outcomes. For classical systems, the accuracy of trajectories can be improved by incorporating future information, a procedure known as smoothing. Here we apply this concept to quantum systems, generalising a formalism of quantum state smoothing for an observer monitoring a quantum system exposed to environmental decoherence, a scenario important for many quantum information protocols. This allows future data to be incorporated when reconstructing the trajectories of quantum states. We experimentally demonstrate that smoothing improves accuracy using a continuously measured nanomechanical resonator, showing that the method compensates for both gaps in the measurement record and inaccessible environments. We further observe a key predicted departure from classical smoothing: quantum noise renders the trajectories nondifferentiable. These results establish that future information can enhance quantum trajectory reconstruction, with potential applications across quantum sensing, control, and error correction.
Related papers
- Detecting nonequilibrium phase transitions via continuous monitoring of space-time trajectories and autoencoder-based clustering [0.0]
We present a machine-learning approach to detect nonequilibrium phase transitions in quantum systems.<n>We benchmark our method using the quantum contact process, a model featuring an absorbing-state phase transition.
arXiv Detail & Related papers (2026-02-19T13:19:35Z) - Quantum Filtering and Stabilization of Dissipative Quantum Systems via Augmented Neural Ordinary Differential Equations [5.819937157229223]
AQNODE is a framework that learns quantum trajectories and dissipation parameters directly from measurement data.<n>Our approach integrates weak measurement data to reconstruct qubit states and time-dependent decoherence rates.<n> AQNODE is a scalable, differentiable, and experimentally compatible framework for real-time modeling and control of dissipative quantum systems.
arXiv Detail & Related papers (2025-09-08T20:23:45Z) - Designing open quantum systems for enabling quantum enhanced sensing through classical measurements [0.0]
We show that many-body quantum enhancement can in fact be obtained through classical measurements.<n>We illustrate this in detail for a class of open spin-boson models which can be realized in trapped-ion or cavity QED setups.
arXiv Detail & Related papers (2025-05-13T17:20:13Z) - Quantum Information Processing, Sensing and Communications: Their Myths, Realities and Futures [61.25494706587422]
The state-of-the-art, knowledge gaps and future evolution of quantum machine learning are discussed.<n>We conclude with a set of promising future research ideas in the field of ultimately secure quantum communications.
arXiv Detail & Related papers (2024-12-01T22:28:02Z) - Effect of the readout efficiency of quantum measurement on the system entanglement [44.99833362998488]
We quantify the entanglement for a particle on a 1d quantum random walk under inefficient monitoring.
We find that the system's maximal mean entanglement at the measurement-induced quantum-to-classical crossover is in different ways by the measurement strength and inefficiency.
arXiv Detail & Related papers (2024-02-29T18:10:05Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Quantifying measurement-induced quantum-to-classical crossover using an
open-system entanglement measure [49.1574468325115]
We study the entanglement of a single particle under continuous measurements.
We find that the entanglement at intermediate time scales shows the same qualitative behavior as a function of the measurement strength.
arXiv Detail & Related papers (2023-04-06T09:45:11Z) - Measurement-induced entanglement and teleportation on a noisy quantum
processor [105.44548669906976]
We investigate measurement-induced quantum information phases on up to 70 superconducting qubits.
We use a duality mapping, to avoid mid-circuit measurement and access different manifestations of the underlying phases.
Our work demonstrates an approach to realize measurement-induced physics at scales that are at the limits of current NISQ processors.
arXiv Detail & Related papers (2023-03-08T18:41:53Z) - Engineered Dissipation for Quantum Information Science [0.0]
Dissipation is an essential tool for manipulating quantum information.
Dissipation engineering enables quantum measurement, quantum state preparation, and quantum state stabilization.
arXiv Detail & Related papers (2022-02-10T19:00:01Z) - Characterizing quantum instruments: from non-demolition measurements to
quantum error correction [48.43720700248091]
In quantum information processing quantum operations are often processed alongside measurements which result in classical data.
Non-unitary dynamical processes can take place on the system, for which common quantum channel descriptions fail to describe the time evolution.
Quantum measurements are correctly treated by means of so-called quantum instruments capturing both classical outputs and post-measurement quantum states.
arXiv Detail & Related papers (2021-10-13T18:00:13Z) - Direct Quantum Communications in the Presence of Realistic Noisy
Entanglement [69.25543534545538]
We propose a novel quantum communication scheme relying on realistic noisy pre-shared entanglement.
Our performance analysis shows that the proposed scheme offers competitive QBER, yield, and goodput.
arXiv Detail & Related papers (2020-12-22T13:06:12Z) - Quantum information spreading in a disordered quantum walk [50.591267188664666]
We design a quantum probing protocol using Quantum Walks to investigate the Quantum Information spreading pattern.
We focus on the coherent static and dynamic disorder to investigate anomalous and classical transport.
Our results show that a Quantum Walk can be considered as a readout device of information about defects and perturbations occurring in complex networks.
arXiv Detail & Related papers (2020-10-20T20:03:19Z) - Maximal entropy approach for quantum state tomography [3.6344381605841187]
Current quantum computing devices are noisy intermediate-scale quantum $($NISQ$)$ devices.
Quantum tomography tries to reconstruct a quantum system's density matrix by a complete set of observables.
We propose an alternative approach to quantum tomography, based on the maximal information entropy, that can predict the values of unknown observables.
arXiv Detail & Related papers (2020-09-02T04:39:45Z)
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.