Automated quantum programming via reinforcement learning for combinatorial optimization

21 Aug 20191 code implementation

Relative to a set of randomly generated problem instances, agents trained through reinforcement learning techniques are capable of producing short quantum programs which generate high quality solutions on both types of quantum resources.

COMBINATORIAL OPTIMIZATION

Automatic Differentiable Monte Carlo: Theory and Application

20 Nov 20191 code implementation

Differentiable programming has emerged as a key programming paradigm empowering rapid developments of deep learning while its applications to important computational methods such as Monte Carlo remain largely unexplored.

The Mathematics of Text Structure

6 Apr 20191 code implementation

We revisit DisCoCat: while in the latter all meanings are states (i. e. have no input), in DisCoCirc word meanings are types of which the state can evolve, and sentences are gates within a circuit which update the meaning of words.

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