This paper introduces QFide, a novel simulation tool for quantum teleportation that focuses on unraveling the influence of various environmental factors, such as noise and signal loss, which are critical in shaping the efficiency and reliability of quantum information transfer. Employing Qiskit as the simulator core, QFide adopts a multifaceted approach, integrating various noise models along with an Amplitude Damping Channel (ADC) loss model. Our evaluation study extends the detailed statistical analysis, utilizing statistical metrics and providing a quantifiable measure of fidelity in comparison to real-world experimental outcomes.
This paper introduces QFide, a novel simulation tool for quantum teleportation that focuses on unraveling the influence of various environmental factors, such as noise and signal loss, which are critical in shaping the efficiency and reliability of quantum information transfer. Employing Qiskit as the simulator core, QFide adopts a multifaceted approach, integrating various noise models along with an Amplitude Damping Channel (ADC) loss model. Our evaluation study extends the detailed statistical analysis, utilizing statistical metrics and providing a quantifiable measure of fidelity in comparison to real-world experimental outcomes.
This paper proposes a comprehensive solution for analyzing and evaluating the performance of quantum communication networks through the use of the open-source simulation software, QuNetSim. This method provides a flexible and cost-effective approach to studying network protocols and parameters prior to hardware implementation. The main content of the paper focuses on modeling realistic factors such as channel loss, noise, and eavesdropping behaviors. The research conducted detailed simulation scenarios with the BB84 and E91 protocols. In particular, a general network scenario, integrating quantum repeaters and teleportation, was analyzed through Fidelity. The results not only confirm the crucial role of repeaters in maintaining long-distance connectivity but also quantify the performance degradation caused by channel loss and eavesdropping. The simulation results also demonstrate that QuNetSim is a powerful tool, enabling researchers to easily build, test, and optimize complex quantum networks, thereby accelerating the transition from theory to practice.
This work presents a simulation-based study of quantum teleportation for secure communication under ideal, noisy, and adversarial conditions using IBM’s Qiskit framework and the Qiskit Aer simulator. The study begins with the verification of Bell-state entanglement to establish quantum correlation, followed by the implementation of a standard three-qubit quantum teleportation protocol. The teleportation system is evaluated across four experimental scenarios: (i) ideal noiseless teleportation, (ii) depolarizing noise environments, (iii) basis disturbance attacks using unauthorized Hadamard operations, and (iv) entanglement injection attacks introducing an external qubit into the communication channel. Each scenario is analyzed using measurement statistics, probability distributions, and state behavior of the receiver qubit. The results demonstrate that quantum teleportation achieves high fidelity under ideal conditions, while environmental noise introduces statistical degradation in state reconstruction. Furthermore, adversarial interference significantly disrupts teleportation performance, with basis disturbance producing near-uniform probability distributions and entanglement injection altering receiver-side measurement statistics. This study highlights both the robustness and vulnerability of quantum communication protocols and emphasizes the importance of noise mitigation, entanglement security, and attack detection mechanisms in future quantum networking systems. The work is entirely simulation-based and implemented using Python and Qiskit.
Noise is a major challenge in quantum computing, affecting the reliability of quantum protocols. In this work, we analytically study the impact of various noise processes, such as depolarization, bit flip, and phase flip, on the quantum state teleportation protocol. Each noise process is modeled as a quantum channel and is applied individually to all qubits after the corresponding unitary operations to simulate realistic conditions. We evaluate the fidelity between the ideal and noisy teleported states to quantify the effect of noise. Our analysis shows that the fidelity decreases polynomially, in general, as the noise strength increases for all noise types, highlighting the sensitivity of state teleportation to different noise mechanisms. However, in the low noise regime, the fidelity decreases only linearly, indicating the robustness of the teleportation protocol. These results provide insight into error characterization and can inform strategies for noise mitigation in practical quantum computing applications.
This paper establishes a comprehensive statistical framework for analyzing quantum teleportation protocols under realistic noisy conditions. We develop novel mathematical tools to characterize the complete statistical distribution of teleportation fidelity, including both mean and variance, for systems experiencing decoherence and channel imperfections. Our analysis demonstrates that the teleportation fidelity follows a characteristic distribution F∼P(Favg,ΔF2) where the variance ΔF2 depends crucially on entanglement quality and channel noise. We derive the optimal resource allocation condition ∂Eent/∂F/∂Cclassical/∂F=β/α that minimizes total resource consumption while achieving target fidelity. Furthermore, we introduce a Bayesian adaptive protocol that enhances robustness against noise through real-time statistical estimation. The theoretical framework is validated through numerical simulations and provides practical guidance for experimental implementations in quantum communication networks.
Abstract We propose a new protocol for quantum teleportation (QT) which adopts the Brown state as the quantum channel. This work focuses on the teleportation of a single unknown two-qubit state via a Brown state channel in an ideal environment. To validate the effectiveness of our proposed scheme, we conduct experiments by using the quantum circuit simulator Quirk. Furthermore, we investigate the effects of four noisy channels, namely, the phase damping noise, the bit-flip noise, the amplitude damping noise, and the phase-flip noise. Notably, we employ Monte Carlo simulation to elucidate the fidelity density under various noise parameters. Our analysis demonstrates that the fidelity of the protocol in a noisy environment is influenced significantly by the amplitude of the initial state and the noise factor.
Quantum teleportation have a central role in quantum information science and allows transferring of an unknown quantum state through entanglement and classical communication. Unfortunately, the interaction with external and internal noise severely affects the quality of teleportation and poses limitations on practical applications of quantum communication networks. In this work, instead of conventional Bell teleportation, we introduce a Machine Learned adaptive protocol for optimizing multiple components of Quantum Teleportation in order to achieve higher fidelity in various noise environments. In order to demonstrate the performance of the proposed scheme, we study three different noise models, including bit-flip, amplitude damping, and depolarizing noise, both in case of single-qubit and two-qubit channels. As a result, we observe substantial improvement in the teleportation fidelity in comparison to the classical Bell-state teleportation protocol in certain noise conditions. Furthermore, the machine-learned protocol reveals a nontrivial strategy for compensation of decoherence and information losses. In addition, obtained results indicate the flexibility and reliability of the proposed framework for implementing various adaptive quantum communications while shedding light on possibilities of discovery of optimal quantum algorithms by means of automated approache