A non-Hermitian quantum optimization algorithm is created and used to find the ground state of an antiferromagnetic Ising chain. We demonstrate analytically and numerically (for up to {Mathematical expression} spins) that our approach leads to a significant reduction in the annealing time that is proportional to {Mathematical expression}, which is much less than the time (proportional to {Mathematical expression}) required for the quantum annealing based on the corresponding Hermitian algorithm. We propose to use this approach to achieve similar speed-up for NP-complete problems by using classical computers in combination with quantum algorithms. © 2013 Springer Science+Business Media New York
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We developed a non-Hermitian quantum optimization algorithm to find the ground state of the ferromag...
A non-Hermitian quantum optimization algorithm is created and used to find the ground state of an an...
We propose a non-Hermitian quantum annealing algorithm which can be useful for solving complex optim...
Quantum annealing (QA) uses the principles of quantum mechanics for solving unconstrained optimizati...
Quantum annealing (QA) uses the principles of quantum mechanics for solving unconstrained optimizati...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...
For NP-hard optimisation problems no polynomial-time algorithms exist for finding a solution. Theref...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We developed a non-Hermitian quantum optimization algorithm to find the ground state of the ferromag...
A non-Hermitian quantum optimization algorithm is created and used to find the ground state of an an...
We propose a non-Hermitian quantum annealing algorithm which can be useful for solving complex optim...
Quantum annealing (QA) uses the principles of quantum mechanics for solving unconstrained optimizati...
Quantum annealing (QA) uses the principles of quantum mechanics for solving unconstrained optimizati...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
We study the performance of quantum annealing for two sets of problems, namely, 2-satisfiability (2-...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...
For NP-hard optimisation problems no polynomial-time algorithms exist for finding a solution. Theref...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...