2 citations · 4 across the 7 of their papers we have counts for
8 papers
Bootstrapping Classical Systems with Quenched Disorder
Minjae Cho, Yaprak Önder, Eslam Khalaf +1
We introduce a bootstrap method for deriving bounds on disorder-averaged observables in classical statistical systems with quenched disorder. The three main ingredients of the boot…
Bootstrapping Disordered Quantum Systems
Yaprak Önder, Michael G. Scheer, Minjae Cho +1
We present a bootstrap framework that yields rigorous two-sided bounds on ground-state observables of quantum systems with quenched disorder. The key idea is to extend the operator…
Bootstrapping Open Quantum Many-body Systems with Absorbing Phase Transitions
Minjae Cho, Colin Oscar Nancarrow, Petar Tadić +1
We demonstrate that combining the positivity of density matrices with steady-state conditions yields a systematic bootstrap method for studying open quantum many-body systems gover…
Bootstrapping Euclidean Two-point Correlators
Minjae Cho, Barak Gabai, Henry W. Lin +2
We develop a bootstrap approach to Euclidean two-point correlators, in the thermal or ground state of quantum mechanical systems. We formulate the problem of bounding the two-point…
Nonequilibrium Phase Transitions in Large Matrix Quantum Mechanics
Minjae Cho
It is believed that the theory of quantum gravity describing our universe is unitary. Nonetheless, if we only have access to a subsystem, its dynamics is described by nonequilibriu…
Bootstrapping Nonequilibrium Stochastic Processes
Minjae Cho
We show that bootstrap methods based on the positivity of probability measures provide a systematic framework for studying both synchronous and asynchronous nonequilibrium stochast…
Coarse-grained Bootstrap of Quantum Many-body Systems
Minjae Cho, Colin Oscar Nancarrow, Petar Tadić +2
We present a new computational framework combining coarse-graining techniques with bootstrap methods to study quantum many-body systems. The method efficiently computes rigorous up…
Bootstrapping the Stochastic Resonance
Minjae Cho
Stochastic resonance is a phenomenon where a noise of appropriate intensity enhances the input signal strength. In this work, by employing the recently developed convex optimizatio…