A Method for Computing Second-order Markov Chains Using Chemical Reaction Networks
A chemical reaction network and Markov chain technology, applied in the field of molecular computing, can solve problems such as high-order Markov chain design and steady-state distribution calculation that no one considers
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[0020] The technical solution of the present invention will be further introduced below in combination with specific implementation methods and accompanying drawings.
[0021] This specific embodiment discloses a method for calculating a second-order Markov chain with a chemical reaction network, such as figure 1 shown, including the following steps:
[0022] S1: Design a chemical reaction network, use different reactant types to represent different states in the target second-order Markov chain, that is, the required reactant types are the same as the number of states in the target chain and correspond one-to-one. Set the initial concentration of the corresponding reactant according to the initial probability distribution of each state of the target second-order Markov chain, that is, the initial concentration is the same or proportional to the corresponding probability value.
[0023] S2: Use a bimolecular reaction to achieve each state transition of the target second-order...
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