6 papers
Autoencoder-Based Unsupervised Identification of Nonequilibrium Phases in Sheared Binary Colloids
Yoshitaka Miyahara, Taiki Haga
Identifying nonequilibrium phases in particle systems remains a major challenge because they often exhibit complex and spatially heterogeneous structures without long-range order.…
Time Glasses: Symmetry Broken Chaotic Phase with a Finite Gap
Taiki Haga
We introduce the time glass, a non-periodic analogue of the discrete time crystal that arises in periodically driven dissipative quantum many-body systems. This phase is defined by…
Phase transitions from linear to nonlinear information processing in neural networks
Masaya Matsumura, Taiki Haga
We investigate a phase transition from linear to nonlinear information processing in echo state networks, a widely used framework in reservoir computing. The network consists of ra…
Unsupervised classification of disordered patterns in an oppositely charged colloidal system
Yoshitaka Miyahara, Taiki Haga
We develop an unsupervised machine learning approach to classify disordered phases in a system of oppositely charged colloids. In this system, the interplay between Coulomb and van…
Oscillating-mode gap: an indicator of phase transition in open quantum many-body systems
Taiki Haga
It presents a significant challenge to elucidate the relationship between the phases of open quantum many-body systems and the spectral structure of their governing Liouvillian, wh…
Machine learning analysis of dimensional reduction conjecture for nonequilibrium Berezinskii-Kosterlitz-Thouless transition in three dimensions
Taiki Haga
We investigate the recently proposed dimensional reduction conjecture in driven disordered systems using a machine learning technique. The conjecture states that a static snapshot…