Ising model has been successful in describing ferromagnetism and its phase transition to paramagnet. At the critical point, the free energy density function and its derivatives diverge. Their behaviour near the critical point are described by power-laws with associated critical exponents. In many cases, the critical exponents can be determined from analytic solutions via conventional renormalization groups methods or from Monte Carlo simulations. However, for quantum many-body systems, very few are tractable to analytical solutions. The quantum many-body wavefunction belongs to large dimensional Hilbert space that increases exponentially with system size. If the Hamiltonian is gapped and only local interaction is considered, then the wavefu...
In a number of classical statistical-physical models, there exists acharacteristic dimensionality ca...
Quantum phase transitions are a ubiquitous many-body phenomenon that occurs in a wide range of physi...
Recently, quantum-state representation using artificial neural networks has started to be recognized...
The study of phase transition is usually done by numerical simulation of finite system. Conventional...
We consider the scaling behavior of thermodynamic quantities in the one-dimensional transverse field...
We consider the scaling behavior of thermodynamic quantities in the one-dimensional transverse field...
We investigate the zero-temperature quantum phase transition of the randombond Ising chain in a tran...
We consider the scaling behavior of thermodynamic quantities in the one-dimensional transverse field...
We investigate the finite-size scaling properties of the quantum phase transition in the one-dimensi...
This thesis explores several aspects of the 2D Ising Model at both real and complex temperatures uti...
This thesis explores several aspects of the 2D Ising Model at both real and complex temperatures uti...
The transverse field Ising chain model is ideally suited for testing the fundamental ideas of quantu...
Several investigations are presented around the general topic of the ground state and low-energy beh...
Abstract. An analysis is presented of the phase transition of the quantum Ising model with transvers...
In a number of classical statistical-physical models, there exists acharacteristic dimensionality ca...
In a number of classical statistical-physical models, there exists acharacteristic dimensionality ca...
Quantum phase transitions are a ubiquitous many-body phenomenon that occurs in a wide range of physi...
Recently, quantum-state representation using artificial neural networks has started to be recognized...
The study of phase transition is usually done by numerical simulation of finite system. Conventional...
We consider the scaling behavior of thermodynamic quantities in the one-dimensional transverse field...
We consider the scaling behavior of thermodynamic quantities in the one-dimensional transverse field...
We investigate the zero-temperature quantum phase transition of the randombond Ising chain in a tran...
We consider the scaling behavior of thermodynamic quantities in the one-dimensional transverse field...
We investigate the finite-size scaling properties of the quantum phase transition in the one-dimensi...
This thesis explores several aspects of the 2D Ising Model at both real and complex temperatures uti...
This thesis explores several aspects of the 2D Ising Model at both real and complex temperatures uti...
The transverse field Ising chain model is ideally suited for testing the fundamental ideas of quantu...
Several investigations are presented around the general topic of the ground state and low-energy beh...
Abstract. An analysis is presented of the phase transition of the quantum Ising model with transvers...
In a number of classical statistical-physical models, there exists acharacteristic dimensionality ca...
In a number of classical statistical-physical models, there exists acharacteristic dimensionality ca...
Quantum phase transitions are a ubiquitous many-body phenomenon that occurs in a wide range of physi...
Recently, quantum-state representation using artificial neural networks has started to be recognized...