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"# Real Randomness with Noise and Chaos\n",
"\n",
"by Kevin Fei
\n",
"working with Professor Rajarshi Roy, Professor Tom Murphy, and Joe Hart\n",
"\n",
"Random numbers are instrumental to modern computing. They are used by scientists for running simulations and by cryptographers for security. Previously, we relied on \"pseudo-random\" number generators, where random numbers are produced from a single number, the seed. Though to most observers the numbers would be unpredictable, if you were to obtain the seed you would know all the numbers produced by the generator. If this system had been encrypting data for a company, all security would be compromised.\n",
"\n",
"To avoid these pitfalls, we are turning to truly random physical processes to generate our numbers. These truly unpredictable processes rely on two sources of randomness: noise and chaos. Though both produce similar results, they are fundamentally different in nature. To harness them for truly random number generation, it will be critical to first understand the complex interplay between chaos and noise."
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