We propose a non-Hermitian quantum annealing algorithm which can be useful for solving complex optimization problems. We demonstrate our approach on Grover's problem of finding a marked item inside of an unsorted database. We show that the energy gap between the ground and excited states depends on the relaxation parameters and is not exponentially small. This allows a significant reduction of the searching time, which is proportional to the number of qubits. We discuss the relations between the probabilities of finding the ground state and the survival of a quantum computer in a dissipative environment, and we discuss alternate ways to solve NP-complete problems. © 2012 American Physical Society
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We show that it is possible to perform the adiabatic quantum search for a marked item in an unstruct...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We propose a non-Hermitian quantum annealing algorithm which can be useful for solving complex optim...
7 pages, 4 figures.-- PACS nrs.: 03.67.Lx, 05.45.Mt, 72.15.Rn.-- ISI Article Identifier: 00025132640...
The study of quantum computation has been motivated by the hope of finding efficient quantum algorit...
We present two new continuous time quantum search algorithms similar to the adiabatic search algorit...
We present two new continuous time quantum search algorithms similar to the adiabatic search algorit...
We propose a novel non-Hermitian adiabatic quantum optimization algorithm. One of the new ideas is t...
A non-Hermitian quantum optimization algorithm is created and used to find the ground state of an an...
2018-07-20This dissertation studies analog quantum optimization, in particular, quantum annealing (Q...
We review here some recent work in the field of quantum annealing, alias adiabatic quantum computati...
We developed a non-Hermitian quantum optimization algorithm to find the ground state of the ferromag...
Grover's search algorithm was originally proposed for circuit-based quantum computers. A crucial par...
Discrete combinatorial optimization consists in finding the optimal configuration that minimizes a g...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We show that it is possible to perform the adiabatic quantum search for a marked item in an unstruct...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We propose a non-Hermitian quantum annealing algorithm which can be useful for solving complex optim...
7 pages, 4 figures.-- PACS nrs.: 03.67.Lx, 05.45.Mt, 72.15.Rn.-- ISI Article Identifier: 00025132640...
The study of quantum computation has been motivated by the hope of finding efficient quantum algorit...
We present two new continuous time quantum search algorithms similar to the adiabatic search algorit...
We present two new continuous time quantum search algorithms similar to the adiabatic search algorit...
We propose a novel non-Hermitian adiabatic quantum optimization algorithm. One of the new ideas is t...
A non-Hermitian quantum optimization algorithm is created and used to find the ground state of an an...
2018-07-20This dissertation studies analog quantum optimization, in particular, quantum annealing (Q...
We review here some recent work in the field of quantum annealing, alias adiabatic quantum computati...
We developed a non-Hermitian quantum optimization algorithm to find the ground state of the ferromag...
Grover's search algorithm was originally proposed for circuit-based quantum computers. A crucial par...
Discrete combinatorial optimization consists in finding the optimal configuration that minimizes a g...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We show that it is possible to perform the adiabatic quantum search for a marked item in an unstruct...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...