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Quantum cryptography is the science of exploiting quantum mechanical properties to perform cryptographic tasks. [1] [2] The best known example of quantum cryptography is quantum key distribution, which offers an information-theoretically secure solution to the key exchange problem. The advantage of quantum cryptography lies in the fact that it ...
Quantum information is the information of the state of a quantum system. It is the basic entity of study in quantum information theory, [1] [2] [3] and can be manipulated using quantum information processing techniques. Quantum information refers to both the technical definition in terms of Von Neumann entropy and the general computational term.
Timeline for the transition to CNSA 2.0. The suite includes: Advanced Encryption Standard with 256 bit keys; Elliptic-curve Diffie–Hellman and Elliptic Curve Digital Signature Algorithm with curve P-384; SHA-2 with 384 bits, Diffie–Hellman key exchange with a minimum 3072-bit modulus, and; RSA with a minimum modulus size of 3072. [2]
Google on Monday said that it has overcome a key challenge in quantum computing with a new generation of chip, solving a computing problem in five minutes that would take a classical computer more ...
For the past few months, quantum computing stocks such as IonQ, Rigetti Computing, and D-Wave Quantum have garnered a lot of attention and witnessed pronounced run-ups in their share prices. The ...
Google has maintained the use of "hybrid encryption" in its use of post-quantum cryptography: whenever a relatively new post-quantum scheme is used, it is combined with a more proven, non-PQ scheme. This is to ensure that the data are not compromised even if the relatively new PQ algorithm turns out to be vulnerable to non-quantum attacks ...
Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation were published independently in 1995 by Subhash Kak and Ron Chrisley, [ 1 ] [ 2 ] engaging with the theory of quantum mind , which posits that quantum effects play a role in ...
In active learning, a learner can make membership queries to the target concept c, asking for its value c(x) on inputs x chosen by the learner. The learner then has to reconstruct the exact target concept, with high probability. In the model of quantum exact learning, the learner can make membership queries in quantum superposition.