A MATLAB-based modelling and simulation package for DPS-QKD

Sethia, Anuj; Banerjee, Anindita

doi:10.1080/09500340.2022.2041752

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…In this study, the ocean-current-data processing algorithm is completed using MATLAB hybrid programming technology; this integrates the algorithm module with the software in the host computer [16]. MATLAB is a mathematical software produced by the MathWorks Company [17]; it uses matrices as basic data units, though its instructions are expressed similarly to those commonly used in mathematics and engineering [18][19][20]. Thus, using MATLAB for numerical solutions is considerably simpler than using programming languages such as C and FORTRAN.…”

Section: Software Designmentioning

confidence: 99%

Development of an expendable current profiler and simulation of passive sources

Zhou

Huang

Zhang

et al. 2023

Meas. Sci. Technol.

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A common approach to ocean current measurement is to use a motion-induced electric field; this is the basic principle of the expendable current profiler (XCP). However, existing studies into XCPs have not explored indoor simulations of the ocean current environment or the implementation of attitude correction in the hardware. The accuracy of XCPs can be verified via indoor experiments and is affected by the sinking attitude. Therefore, in this study, we develop an XCP to measure ocean information in real time, and we correct the data for different XCP sinking attitudes. Furthermore, we design electromagnetic-induction-based laboratory measurements of simulated dynamic ocean currents. The signals collected by the XCP are linearly related to the copper-plated-power-supply signal. The processed data are compared and the feasibility of extracting ocean current signals via electrodes is verified through laboratory simulations of XCPs. Furthermore, we performed marine experiments in the South China Sea; the results indicate that the system is stable and easy to use. We implemented an expendable conductivity-temperature-depth (XCTD) system at the same location; the curve trends measured by the two probes were consistent, and the maximum error was found to be 0.5 °C. We expect this work to improve the quality of ocean current measurements and subsequent monitoring capabilities.

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Section: Software Designmentioning

confidence: 99%

Development of an expendable current profiler and simulation of passive sources

Zhou

Huang

Zhang

et al. 2023

Meas. Sci. Technol.

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“…Khan et al [7] presented an indepth security analysis on QKD protocols encompassing theoretical assertions to practical implementation factors. Anuj Sethia and Anindita Banerjee [60] simulated a practical model implementation of differential phase shift (DPS) QKD with a toolkit based on Simulink and MATLAB. Kashyap and M. Ramachandra [61] and Mina Mihai-Zico and Simion Emil [62] simulated QKD in the Qiskit library of Python.…”

Section: Related Workmentioning

confidence: 99%

Quantum Key Distribution: Modeling and Simulation through BB84 Protocol Using Python3

Adu-Kyere

Nigussie

Isoaho

2022

Sensors

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Autonomous “Things” is becoming the future trend as the role, and responsibility of IoT keep diversifying. Its applicability and deployment need to re-stand technological advancement. The versatile security interaction between IoTs in human-to-machine and machine-to-machine must also endure mathematical and computational cryptographic attack intricacies. Quantum cryptography uses the laws of quantum mechanics to generate a secure key by manipulating light properties for secure end-to-end communication. We present a proof-of-principle via a communication architecture model and implementation to simulate these laws of nature. The model relies on the BB84 quantum key distribution(QKD) protocol with two scenarios, without and with the presence of an eavesdropper via the interception-resend attack model from a theoretical, methodological, and practical perspective. The proposed simulation initiates communication over a quantum channel for polarized photon transmission after a pre-agreed configuration over a Classic Channel with parameters. Simulation implementation results confirm that the presence of an eavesdropper is detectable during key generation due to Heisenberg’s uncertainty and no-cloning principles. An eavesdropper has a 0.5 probability of guessing transmission qubit and 0.25 for the polarization state. During simulation re-iterations, a base-mismatch process discarded about 50 percent of the total initial key bits with an Error threshold of 0.11 percent.

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ChaQra: a cellular unit of the Indian quantum network

Gupta,

Agarwal,

Mogiligidda

et al. 2024

Sci Rep

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Major research interests on quantum key distribution (QKD) are primarily focused on increasing 1. Point-to-point transmission distance (1000 km). 2. Secure key rate (Mbps). 3. Security of quantum layer (device-independence). It is great to push the boundaries in these fronts but these isolated approaches are neither scalable nor cost-effective due to requirements of specialised hardware and different infrastructure. Current and future QKD network requires addressing different set of challenges apart from distance, key rate and quantum security. In this regard, we present ChaQra—a sub quantum network with core features as 1. Crypto agility (integration in the already deployed telecommunication fibres). 2. Software defined networking (SDN paradigm for routing different nodes). 3. reliability (addressing denial-of-service with hybrid quantum safe cryptography). 4. upgradability (modules upgradation based on scientific and technological advancements). 5. Beyond QKD (using QKD network for distributed computing, multi-party computation etc). Our results demonstrate a clear path to create and accelerate quantum secure Indian subcontinent under national quantum mission.

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A MATLAB-based modelling and simulation package for DPS-QKD

Cited by 6 publications

References 28 publications

Development of an expendable current profiler and simulation of passive sources

Development of an expendable current profiler and simulation of passive sources

Quantum Key Distribution: Modeling and Simulation through BB84 Protocol Using Python3

ChaQra: a cellular unit of the Indian quantum network

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