In this review we consider the performance of the quantum adiabatic algorithm for the solution of decision problems. We divide the possible failure mechanisms into two sets: small gaps due to quantum phase transitions and small gaps due to avoided crossings inside a phase. We argue that the thermodynamic order of the phase transitions is not predictive of the scaling of the gap with the system size. On the contrary, we also argue that, if the phase surrounding the problem Hamiltonian is a Many-Body Localized (MBL) phase, the gaps are going to be typically exponentially small and that this follows naturally from the existence of local integrals of motion in the MBL phase
We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
One of the major ongoing debates on the future of quantum annealers pertains to their robustness aga...
We review here some recent work in the field of quantum annealing, alias adiabatic quantum computati...
Quantum computing seeks to use the powers of quantum mechanics to accomplish tasks that classical co...
Discrete combinatorial optimization consists in finding the optimal configuration that minimizes a g...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
Abstract. Discrete combinatorial optimization consists in finding the optimal configuration that min...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
This Thesis focuses on different aspects of quantum computation theory: adiabatic quantum algorithms...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
This Thesis focuses on different aspects of quantum computation theory: adiabatic quantum algorithms...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
One of the major ongoing debates on the future of quantum annealers pertains to their robustness aga...
We review here some recent work in the field of quantum annealing, alias adiabatic quantum computati...
Quantum computing seeks to use the powers of quantum mechanics to accomplish tasks that classical co...
Discrete combinatorial optimization consists in finding the optimal configuration that minimizes a g...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
Abstract. Discrete combinatorial optimization consists in finding the optimal configuration that min...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
This Thesis focuses on different aspects of quantum computation theory: adiabatic quantum algorithms...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
This Thesis focuses on different aspects of quantum computation theory: adiabatic quantum algorithms...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...