We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated annealing (SA, through a classical master equation) on the p-spin infinite range ferromagnetic Ising model, by slowly driving the system across its equilibrium, quantum or classical, phase transition. When the phase transition is second order (p=2, the familiar two-spin Ising interaction) SA shows a remarkable exponential speed-up over QA. For a first-order phase transition (p≥3, i.e., with multispin Ising interactions), in contrast, the classical annealing dynamics appears to remain stuck in the disordered phase, while we have clear evidence that QA shows a residual energy which decreases towards zero when the total annealing time τ increases, ...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
The Potts model is a generalization of the Ising model with $Q>2$ components. In the fully connected...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
The probability of success of quantum annealing can be improved significantly by pausing the anneal...
The probability of success of quantum annealing can be improved significantly by pausing the anneal...
The probability of success of quantum annealing can be improved significantly by pausing the anneal...
We study the frustrated Ising model on the two-dimensional $L \times L$ square lattice with ferromag...
We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over ...
We developed a non-Hermitian quantum optimization algorithm to find the ground state of the ferromag...
We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over ...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
The Potts model is a generalization of the Ising model with $Q>2$ components. In the fully connected...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrodinger dynamics) and simulated ann...
The probability of success of quantum annealing can be improved significantly by pausing the anneal...
The probability of success of quantum annealing can be improved significantly by pausing the anneal...
The probability of success of quantum annealing can be improved significantly by pausing the anneal...
We study the frustrated Ising model on the two-dimensional $L \times L$ square lattice with ferromag...
We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over ...
We developed a non-Hermitian quantum optimization algorithm to find the ground state of the ferromag...
We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over ...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
The Potts model is a generalization of the Ising model with $Q>2$ components. In the fully connected...
Traditional simulated annealing uses thermal fluctuations for convergence in optimization problems. ...