The problem Hamiltonian of the adiabatic quantum algorithm for the maximum-weight independent set problem (MIS) that is based on the reduction to the Ising problem (as described in [Choi08]) has flexible parameters. We show that by choosing the parameters appropriately in the problem Hamiltonian (without changing the problem to be solved) for MIS on CK graphs, we can prevent the first order quantum phase transition and significantly change the minimum spectral gap. We raise the basic question about what the appropriate formulation of adiabatic running time should be. We also describe adiabatic quantum algorithms for Exact Cover and 3SAT in which the problem Hamiltonians are based on the reduction to MIS. We point out that the argument in Al...
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Michael Sipser give a quantum algorithm for solving in...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2018, Tutor: ...
In the quantum adiabatic algorithm, as the adiabatic parameter s(t) changes slowly from zero to one ...
In Amin and Choi [1], we show that an adiabatic quantum algorithm for the NP-hard maximum independen...
One of the most important questions in studying quantum computation is: whether a quantum computer c...
Exploiting the similarity between adiabatic quantum algorithms and quantum phase transitions, we arg...
We construct a set of instances of 3SAT which are not solved efficiently using the simplest quantum ...
This paper concerns quantum heuristics able to extend the domain of quantum computing, defining a pr...
This paper concerns quantum heuristics that are able to extend the domain of quantum computing defin...
We present a quantum algorithm for approximating maximum independent sets of a graph based on quantu...
This Thesis focuses on different aspects of quantum computation theory: adiabatic quantum algorithms...
This thesis explores two mathematical aspects of adiabatic quantum computa-tion. Adiabatic quantum c...
We introduce an algorithm to perform an optimal adiabatic evolution that operates without an apriori...
© 2020 American Physical Society. We present an efficient quantum algorithm for independent-set prob...
One of the major ongoing debates on the future of quantum annealers pertains to their robustness aga...
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Michael Sipser give a quantum algorithm for solving in...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2018, Tutor: ...
In the quantum adiabatic algorithm, as the adiabatic parameter s(t) changes slowly from zero to one ...
In Amin and Choi [1], we show that an adiabatic quantum algorithm for the NP-hard maximum independen...
One of the most important questions in studying quantum computation is: whether a quantum computer c...
Exploiting the similarity between adiabatic quantum algorithms and quantum phase transitions, we arg...
We construct a set of instances of 3SAT which are not solved efficiently using the simplest quantum ...
This paper concerns quantum heuristics able to extend the domain of quantum computing, defining a pr...
This paper concerns quantum heuristics that are able to extend the domain of quantum computing defin...
We present a quantum algorithm for approximating maximum independent sets of a graph based on quantu...
This Thesis focuses on different aspects of quantum computation theory: adiabatic quantum algorithms...
This thesis explores two mathematical aspects of adiabatic quantum computa-tion. Adiabatic quantum c...
We introduce an algorithm to perform an optimal adiabatic evolution that operates without an apriori...
© 2020 American Physical Society. We present an efficient quantum algorithm for independent-set prob...
One of the major ongoing debates on the future of quantum annealers pertains to their robustness aga...
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Michael Sipser give a quantum algorithm for solving in...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2018, Tutor: ...
In the quantum adiabatic algorithm, as the adiabatic parameter s(t) changes slowly from zero to one ...