Quantum State Tomography of Photonic Qubits with Realistic Coherent Light Sources

• URL: http://arxiv.org/abs/2410.19039v2
• Date: Mon, 25 Nov 2024 12:28:37 GMT
• Title: Quantum State Tomography of Photonic Qubits with Realistic Coherent Light Sources
• Authors: Artur Czerwinski,
• Abstract summary: Quantum state tomography (QST) is an essential technique for characterizing quantum states. We present a numerical framework to simulate and evaluate the efficiency of QST under realistic conditions.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Quantum state tomography (QST) is an essential technique for characterizing quantum states. However, practical implementations of QST are significantly challenged by factors such as shot noise, attenuation, and Raman scattering, especially when photonic qubits are transmitted through optical fibers alongside classical signals. In this paper, we present a numerical framework to simulate and evaluate the efficiency of QST under these realistic conditions. The results reveal how the efficiency of QST is influenced by the power of the classical signal. By analyzing the fidelity of reconstructed states, we provide insights into the limitations and potential improvements for QST in noisy environments.

Related papers

• Shortcuts to adiabaticity, unexciting backgrounds, and reflectionless potentials [45.88028371034407]
  We exploit the analogy with one-dimensional quantum mechanics, and the well known correspondence between Bogoliubov coefficients in the QHO and transmission/reflection amplitudes in scattering theory.<n>We show how STA completions can be understood in terms of the anti-squeezing operator.
  arXiv  Detail & Related papers  (2026-01-16T13:02:37Z)
• Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
  CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
  arXiv  Detail & Related papers  (2026-01-10T02:36:03Z)
• TensoMeta-VQC: A Tensor-Train-Guided Meta-Learning Framework for Robust and Scalable Variational Quantum Computing [60.996803677584424]
  TensoMeta-VQC is a novel tensor-train (TT)-guided meta-learning framework designed to improve the robustness and scalability of VQC significantly.<n>Our framework fully delegates the generation of quantum circuit parameters to a classical TT network, effectively decoupling optimization from quantum hardware.
  arXiv  Detail & Related papers  (2025-08-01T23:37:55Z)
• Tensor Train Quantum State Tomography using Compressed Sensing [2.493374942115722]
  Quantum state tomography (QST) is a fundamental technique for estimating the state of a quantum system from measured data.<n>In this work, we address this challenge by parameterizing the state using a low-rank block tensor train decomposition.<n>This framework applies to a broad class of quantum states that can be well approximated by low-rank decompositions.
  arXiv  Detail & Related papers  (2025-06-30T07:06:50Z)
• VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning [60.996803677584424]
  Variational Quantum Circuits (VQCs) offer a novel pathway for quantum machine learning.<n>Their practical application is hindered by inherent limitations such as constrained linear expressivity, optimization challenges, and acute sensitivity to quantum hardware noise.<n>This work introduces VQC-MLPNet, a scalable and robust hybrid quantum-classical architecture designed to overcome these obstacles.
  arXiv  Detail & Related papers  (2025-06-12T01:38:15Z)
• Enhanced quantum phase estimation with $q$-deformed nonideal nonclassical light [0.0]
  We investigate quantum phase estimation in a Mach-Zehnder interferometer using q-deformed photon states.<n>We compute the quantum and classical Fisher information and perform Bayesian inference on simulated detector data.
  arXiv  Detail & Related papers  (2025-06-03T12:50:40Z)
• Bayesian Quantum Amplitude Estimation [49.1574468325115]
  We introduce BAE, a noise-aware Bayesian algorithm for quantum amplitude estimation. We show that BAE achieves Heisenberg-limited estimation and benchmark it against other approaches.
  arXiv  Detail & Related papers  (2024-12-05T18:09:41Z)
• Photonic Quantum Receiver Attaining the Helstrom Bound [0.9674145073701151]
  We propose an efficient decomposition scheme for a quantum receiver that attains the Helstrom bound in the low-photon regime for discriminating binary coherent states. We account for realistic conditions by examining the impact of photon loss and imperfect photon detection, including the presence of dark counts. Our scheme motivates testing quantum advantages with cubic-phase gates and designing photonic quantum computers to optimize symbol-by-symbol measurements in optical communication.
  arXiv  Detail & Related papers  (2024-10-29T07:08:39Z)
• Corrupted sensing quantum state tomography [0.0]
  We propose the concept of corrupted sensing quantum state tomography which enables the simultaneous reconstruction of quantum states and structured noise. It is envisaged that the techniques can become a practical tool to greatly reduce the cost and computational effort for quantum tomography in noisy quantum systems.
  arXiv  Detail & Related papers  (2024-05-23T10:13:59Z)
• Lindblad-like quantum tomography for non-Markovian quantum dynamical maps [46.350147604946095]
  We introduce Lindblad-like quantum tomography (L$ell$QT) as a quantum characterization technique of time-correlated noise in quantum information processors.<n>We discuss L$ell$QT for the dephasing dynamics of single qubits in detail, which allows for a neat understanding of the importance of including multiple snapshots of the quantum evolution in the likelihood function.
  arXiv  Detail & Related papers  (2024-03-28T19:29:12Z)
• Hybrid quantum transfer learning for crack image classification on NISQ hardware [62.997667081978825]
  We present an application of quantum transfer learning for detecting cracks in gray value images. We compare the performance and training time of PennyLane's standard qubits with IBM's qasm_simulator and real backends.
  arXiv  Detail & Related papers  (2023-07-31T14:45:29Z)
• Neural-Shadow Quantum State Tomography [0.0]
  "neural-shadow quantum state tomography" (NSQST) is an alternative neural network-based quantum state tomography protocol. Infidelity is estimated using the classical shadows of the target state. NSQST is robust against various types of noise without any error mitigation.
  arXiv  Detail & Related papers  (2023-05-01T20:23:57Z)
• Quantum Semantic Communications for Resource-Efficient Quantum Networking [52.3355619190963]
  This letter proposes a novel quantum semantic communications (QSC) framework exploiting advancements in quantum machine learning and quantum semantic representations. The proposed framework achieves approximately 50-75% reduction in quantum communication resources needed, while achieving a higher quantum semantic fidelity.
  arXiv  Detail & Related papers  (2022-05-05T03:49:19Z)
• Circuit Symmetry Verification Mitigates Quantum-Domain Impairments [69.33243249411113]
  We propose circuit-oriented symmetry verification that are capable of verifying the commutativity of quantum circuits without the knowledge of the quantum state. In particular, we propose the Fourier-temporal stabilizer (STS) technique, which generalizes the conventional quantum-domain formalism to circuit-oriented stabilizers.
  arXiv  Detail & Related papers  (2021-12-27T21:15:35Z)
• Conditional preparation of non-Gaussian quantum optical states by mesoscopic measurement [62.997667081978825]
  Non-Gaussian states of an optical field are important as a proposed resource in quantum information applications. We propose a novel approach involving displacement of the ancilla field into the regime where mesoscopic detectors can be used. We conclude that states with strong Wigner negativity can be prepared at high rates by this technique under experimentally attainable conditions.
  arXiv  Detail & Related papers  (2021-03-29T16:59:18Z)
• Quantum circuit architecture search for variational quantum algorithms [88.71725630554758]
  We propose a resource and runtime efficient scheme termed quantum architecture search (QAS) QAS automatically seeks a near-optimal ansatz to balance benefits and side-effects brought by adding more noisy quantum gates. We implement QAS on both the numerical simulator and real quantum hardware, via the IBM cloud, to accomplish data classification and quantum chemistry tasks.
  arXiv  Detail & Related papers  (2020-10-20T12:06:27Z)
• Fast and robust quantum state tomography from few basis measurements [65.36803384844723]
  We present an online tomography algorithm designed to optimize all the aforementioned resources at the cost of a worse dependence on accuracy. The protocol is the first to give provably optimal performance in terms of rank and dimension for state copies, measurement settings and memory. Further improvements are possible by executing the algorithm on a quantum computer, giving a quantum speedup for quantum state tomography.
  arXiv  Detail & Related papers  (2020-09-17T11:28:41Z)
• Benchmarking Quantum State Transfer on Quantum Devices using Spatio-Temporal Steering [0.0]
  Quantum state (QST) provides a method to send arbitrary quantum states from one system to another. Standard benchmark of QST is the average fidelity between the prepared and received states. We provide a benchmark which reveals the non-classicality of QST based ontemporal steering (STS)
  arXiv  Detail & Related papers  (2020-09-16T02:19:26Z)
• Modelling Weak-Coherent CV-QKD Systems Using a Classical Simulation Framework [0.0]
  Continuous variable (CV) weak coherent state protocols are promising candidates for a broad deployment of quantum key distribution (QKD) technology. We demonstrate how an existing simulation framework for modelling classical optical systems can be utilized for simulations of weak-coherent CV-QKD links.
  arXiv  Detail & Related papers  (2020-04-30T11:34:19Z)

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.