# Development of research network on Quantum Annealing Computation and Information using Google Scholar data

@article{Sinha2022DevelopmentOR, title={Development of research network on Quantum Annealing Computation and Information using Google Scholar data}, author={Antika Sinha}, journal={Philosophical Transactions of the Royal Society A}, year={2022}, volume={381} }

We build and analyse the network of 100 top-cited nodes (research papers and books from Google Scholar; the strength or citation of the nodes range from about 44 000 up to 100) starting in early 1980 until last year. These searched publications (papers and books) are based on Quantum Annealing Computation and Information categorized into four different sets: (A) Quantum/Transverse Field Spin Glass Model, (B) Quantum Annealing, (C) Quantum Adiabatic Computation and (D) Quantum Computation…

## One Citation

### Quantum annealing and computation: challenges and perspectives

- PhysicsPhilosophical Transactions of the Royal Society A
- 2022

In the introductory article of this theme issue, we provide an overview of quantum annealing and computation with a very brief summary of the individual contributions to this issue made by experts as…

## References

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The question of when quantum speedup may be expected is revisited and it is shown that the results depend on how the problem is described and how the optimization routine is implemented, which implies that care must be taken when using QMC simulations to assess the potential for quantum speed up.

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We introduce quantum fluctuations into the simulated annealing process of optimization problems, aiming at faster convergence to the optimal state. Quantum fluctuations cause transitions between…

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The embedded Ising Hamiltonian for solving the maximum independent set (MIS) problem via adiabatic quantum computation (AQC) using an Ising spin-1/2 system is demonstrated.

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It is argued that the adiabatic approach may be thought of as a kind of 'quantum local search', and a family of minimization problems that is hard for such local search heuristics are designed, and an exponential lower bound is established for the ad iabatic algorithm for these problems.

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Finding the ground state of an Ising spin glass on general graphs belongs to the class of NP-hard problems, widely believed to have no efficient polynomial-time algorithms to solve them. An approach…

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Quantum annealing is a generic name of quantum algorithms that use quantum-mechanical fluctuations to search for the solution of an optimization problem. It shares the basic idea with quantum…

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Quantum annealing is a new-generation tool of information technology, which helps in solving combinatorial optimization problems with high precision, based on the concepts of quantum statistical…

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Quantum annealing was recently found experimentally in a disordered spin- magnet to be more effective than its classical, thermal counterpart. We use the random two-dimensional Ising model as a test…