Benchmarking of quantum protocols | JoVE Visualize

Benchmarking of quantum protocols

Chin-Te Liao¹, Sima Bahrani^2,3, Francisco Ferreira da Silva^4,5

¹VeriQloud, Paris, France.

Scientific Reports|March 30, 2022

View abstract on PubMed

Summary

Simulating quantum network protocols reveals critical hardware requirements for practical implementation. Noise significantly impacts quantum money, anonymous transmission, blind quantum computation, and digital signatures, necessitating specific performance thresholds for reliable operation.

Area of Science:

Quantum Information Science
Quantum Communication
Quantum Computation

Background:

Quantum network protocols promise enhanced security and novel computational capabilities.
Current quantum hardware limitations hinder the practical execution of many advanced quantum protocols.
Simulation is crucial for evaluating quantum protocol performance under realistic noise conditions.

Purpose of the Study:

To assess the performance of key quantum network protocols using a simulation platform.
To identify critical noise parameters and hardware requirements for practical quantum protocol implementation.
To analyze protocols including quantum money, W-state anonymous transmission, verifiable blind quantum computation, and quantum digital signatures.

Main Methods:

Utilized the NetSquid simulation platform to model quantum network protocols.
Introduced various noise sources, including decoherence and gate imperfections.
Evaluated protocol performance using relevant figures of merit.

Main Results:

Quantum money requires a decoherence time constant at least three times the qubit storage time.
W-state anonymous transmission needs quantum memory storage times less than half the decoherence time for >0.8 fidelity.
Verifiable blind quantum computation security fails if gate depolarizing probability exceeds 0.05; channel loss impacts quantum digital signature repudiation.

Conclusions:

Noise and imperfections significantly degrade the performance of quantum communication and computation protocols.
Specific hardware parameters, such as decoherence times and gate fidelities, are critical for protocol viability.
Simulation-based analysis provides essential insights for developing practical quantum networks.