How do quantum computers threaten smart contract execution and digital signatures?

Quantum computers can break mathematical algorithms used in digital signatures, enabling them to calculate private keys from public keys and forge digital signatures, which can compromise smart contract execution and digital signature integrity. Quantum- resistant cryptography can mitigate these threats by securing data against quantum computing attacks.

Why is Qrypt's Quantum Key Generation (QKG) a pertinent solution now, and how does it complement NIST PQC in mitigating quantum threats?

Qrypt's QKG provides immediate mitigation against quantum threats by enabling independent generation and non-transmission of encryption keys, safeguarding against potential future decryption. It complements NIST PQC by providing an additional layer of security, especially against HNDL attacks, and ensuring data security during the transition to post- quantum cryptographic standards.

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Where are random numbers used?

Q: Where are random numbers used?

The most widespread application is in cryptography, as seeds to generate encryption keys to protect emails, websites, text messages and the internet.

Random numbers underpin cryptography, enabling the creation of robust encryption keys for securing digital communications. Beyond cryptography, they play a pivotal role in various domains. In statistical modeling and simulations, random numbers are employed to initialize algorithms, ensure variability, and simulate complex phenomena. They’re crucial in Monte Carlo simulations for approximating solutions to numerical problems. In gaming and gambling, they ensure fairness by driving unpredictable outcomes. Random numbers also find applications in scientific research, digital art, and even in determining the randomness in procedural content generation within video gaming, showcasing their broad spectrum of utility across different fields.

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