Abstract
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and flexible implementation of neural-network quantum states, which are used as a variational ansatz for quantum wavefunctions. NetKet provides algorithms for several key tasks in quantum many-body physics and quantum technology, namely quantum state tomography, supervised learning from wavefunction data, and ground state searches for a wide range of customizable lattice models. Our aim is to provide a common platform for open research and to stimulate the collaborative development of computational methods at the interface of machine learning and many-body physics.
Highlights
Motivation and significanceRecent years have seen a tremendous activity around the development of physics-oriented numerical techniques based on machine learning (ML) tools [1]
We have introduced NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques
NetKet is a Python framework implemented in C++11, designed with efficiency as well as ease of use in mind
Summary
Recent years have seen a tremendous activity around the development of physics-oriented numerical techniques based on machine learning (ML) tools [1]. In the context of many-body quantum physics, one of the main goals of these approaches is to tackle complex quantum problems using compact representations of many-body states based on artificial neural networks. These representations, dubbed neural-network quantum states (NQS) [2], can be used for several applications. Despite the increasing methodological and theoretical interest in NQS and their applications, a set of comprehensive, easy-to-use tools for research applications is still lacking This is pressing as the complexity of NQS-related approaches and algorithms is expected to grow rapidly given these first successes, steepening the learning curve. With this efficiency requirement in mind, all critical routines and components of NetKet have been written in C++11
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