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Trapped Ion Quantum Computing
Finding Small and Large k-Clique Instances on a Quantum Computer
arXiv
Authors: Sara Ayman Metwalli, Francois Le Gall, Rodney Van Meter
Year
2020
Paper ID
21140
Status
Preprint
Abstract Read
~2 min
Abstract Words
172
Citations
N/A
Abstract
Algorithms for triangle-finding, the smallest nontrivial instance of the k-clique problem, have been proposed for quantum computers. Still, those algorithms assume the use of fixed access time quantum RAM (QRAM). We present a practical gate-based approach to both the triangle-finding problem and its NP-hard k-clique generalization. We examine both constant factors for near-term implementation on a Noisy Intermediate Scale Quantum computer (NISQ) device, and the scaling of the problem to evaluate long-term use of quantum computers. We compare the time complexity and circuit practicality of the theoretical approach and actual implementation. We propose and apply two different strategies to the k-clique problem, examining the circuit size of Qiskit implementations. We analyze our implementations by simulating triangle finding with various error models, observing the effect on damping the amplitude of the correct answer, and compare to execution on six real IBMQ machines. Finally, we estimate the date when the methods proposed can run effectively on an actual device based on IBM's quantum volume exponential growth forecast and the results of our error analysis.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2020 reference point for readers tracking recent quantum research.
- Algorithms for triangle-finding, the smallest nontrivial instance of the k-clique problem, have been proposed for quantum computers.
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