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Found 4 papers, 4 papers with code
Operationally meaningful representations of physical systems in neural networks
To make progress in science, we often build abstract representations of physical systems that meaningfully encode information about the systems.
Exact and practical pattern matching for quantum circuit optimization
An important building block for many quantum circuit optimization techniques is pattern matching, where given a large and a small quantum circuit, we are interested in finding all maximal matches of the small circuit, called pattern, in the large circuit, considering pairwise commutation of quantum gates.
Quantum Physics Data Structures and Algorithms
Introduction to UniversalQCompiler
A 93, 032318 (2016), and hence, for generic operations, they are near optimal in terms of the number of gates required.
Quantum Physics Emerging Technologies
Discovering physical concepts with neural networks
Despite the success of neural networks at solving concrete physics problems, their use as a general-purpose tool for scientific discovery is still in its infancy.
