We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over a Glauber master equation simulated annealing (SA) for a random Ising model in one dimension, via an equal-footing exact deterministic dynamics of the Jordan-Wigner fermionized problems. This is remarkable, in view of the arguments of H. G. Katzgraber et al. [Phys. Rev. X 4, 021008 (2014)2160-330810.1103/PhysRevX.4.021008], since SA does not encounter any phase transition, while QA does. We also find a second remarkable result: that a "quantum-inspired" imaginary-time Schrödinger QA provides a further exponential speedup, i.e., an asymptotic residual error decreasing as a power law τ-μ of the annealing time τ
© 2016 IEEE. Can quantum computers solve optimization problems much more quickly than classical comp...
© 2016 IEEE. Can quantum computers solve optimization problems much more quickly than classical comp...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...
We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over ...
Simulated quantum annealing (SQA) is a classical computational strategy that emulates a quantum anne...
Simulated quantum annealing (SQA) is a classical computational strategy that emulates a quantum anne...
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...
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated ann...
Probing the lowest energy configuration of a complex system by quantum annealing was recently found ...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
The observation of an unequivocal quantum speedup remains an elusive objective for quantum computing...
© 2016 IEEE. Can quantum computers solve optimization problems much more quickly than classical comp...
© 2016 IEEE. Can quantum computers solve optimization problems much more quickly than classical comp...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...
We show clear evidence of a quadratic speedup of a quantum annealing (QA) Schrödinger dynamics over ...
Simulated quantum annealing (SQA) is a classical computational strategy that emulates a quantum anne...
Simulated quantum annealing (SQA) is a classical computational strategy that emulates a quantum anne...
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...
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated ann...
We compare the performance of quantum annealing (QA, through Schrödinger dynamics) and simulated ann...
Probing the lowest energy configuration of a complex system by quantum annealing was recently found ...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
The observation of an unequivocal quantum speedup remains an elusive objective for quantum computing...
© 2016 IEEE. Can quantum computers solve optimization problems much more quickly than classical comp...
© 2016 IEEE. Can quantum computers solve optimization problems much more quickly than classical comp...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...