Post-Quantum Cryptography in the automobile sector:

·         Post-quantum cryptography (PQC), also referred to as quantum-resistance cryptography, is an encryption approach that aims to secure a system against a cryptanalytic attack by a quantum computer through cryptographic algorithms.

·         The demand for PQC is increasing splendidly across all industries, including electronics, automotive, finance, healthcare, etc., owing to the confined safety and security of data provided by existing renowned algorithms.

·         PQC employs various algorithms comprising Hash-Based Cryptography, Code-Based Cryptography, Lattice-Based Cryptography, Multivariate Cryptography and many more.

Future Challenges for Automotive Industry:

·         Smooth transition to quantum-secure systems.

·         Cryptographic Agility: Ensuring flexibility with the choice of algorithms based on use case scenario.

·         Troubleshooting performance restrictions.

·         Redesigning and reconsideration of already used protocols.

·         Certificate management and key redesign.

·         Developing suitable hardware for secure solutions.

Competitors already working around Quantum Computing:

·         Ford Global: Ford is exploring the quantum world with Microsoft to help reduce congestion. Ford believes that quantum computing has the potential to deliver balanced routing to drivers, which could create a series of cascading benefits: smoother flow of traffic, more efficient commutes, and even reduced pollution.

·         Volkswagen: The German automaker has started using quantum computing to set pricing for its vehicles and to determine the precise location to establish electric charging stations for maximum effectiveness. Volkswagen has collaborated with Canadian quantum computing firm D-Wave and partnered with Google’s quantum computing unit for research. In 2019, the Volkswagen team worked with D-Wave to demonstrate the first real-time traffic-routing system to rely on quantum computing.

·         Hyundai Motor: Hyundai Motor has partnered with IonQ to significantly improve next-gen batteries using quantum computing. This partnership will create the largest battery chemistry model yet to be run on a quantum computer, simulating the structure and energy of lithium oxide. The project lays the groundwork to improve the performance, cost, and safety of lithium batteries.

·         Mercedes Benz Group: The company has partnered with PsiQuantum to research battery chemistry simulation on a fault-tolerant quantum processor. The specific task was to investigate quantum algorithms for simulating the effects of the electrolyte additive fluoroethylene carbonate, one of the largest molecules ever considered for quantum computing.

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