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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 ...
China’s top quantum expert, Prof. Pan Jianwei, has developed a Jiuzhang quantum computer that he claims can perform certain kinds of AI-related calculations some 180 million times faster than ...
Quantum computing has significant potential applications in the fields of cryptography and cybersecurity. Quantum cryptography, which relies on the principles of quantum mechanics, offers the possibility of secure communication channels that are resistant to eavesdropping.
In cryptography, Combined Elliptic-Curve and Post-Quantum 2 (CECPQ2) is a quantum secure modification to Transport Layer Security (TLS) 1.3 developed by Google. It is intended to be used experimentally, to help evaluate the performance of post quantum key-exchange algorithms on actual users' devices.
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 ...
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A quantum speedup of the agent's internal decision-making time [54] has been experimentally demonstrated in trapped ions, [59] while a quantum speedup of the learning time in a fully coherent (`quantum') interaction between agent and environment has been experimentally realized in a photonic setup.
Cirq was developed by the Google AI Quantum Team, and the public alpha was announced at the International Workshop on Quantum Software and Quantum Machine Learning on July 18, 2018. [2] A demo by QC Ware showed an implementation of QAOA solving an example of the maximum cut problem being solved on a Cirq simulator.