[HTML][HTML] Hybrid classical-quantum linear solver using Noisy Intermediate-Scale Quantum machines
CC Chen, SY Shiau, MF Wu, YR Wu - Scientific reports, 2019 - nature.com
We propose a realistic hybrid classical-quantum linear solver to solve systems of linear
equations of a specific type, and demonstrate its feasibility with Qiskit on IBM Q systems.
This algorithm makes use of quantum random walk that runs in O (N log (N)) time on a
quantum circuit made of O (log (N)) qubits. The input and output are classical data, and so
can be easily accessed. It is robust against noise, and ready for implementation in
applications such as machine learning.
equations of a specific type, and demonstrate its feasibility with Qiskit on IBM Q systems.
This algorithm makes use of quantum random walk that runs in O (N log (N)) time on a
quantum circuit made of O (log (N)) qubits. The input and output are classical data, and so
can be easily accessed. It is robust against noise, and ready for implementation in
applications such as machine learning.
[PDF][PDF] Hybrid quantum linear solver using Noisy Intermediate-Scale Quantum machines
CC Chen, SY Shiau, MF Wu, YR Wu - arXiv preprint arXiv …, 2019 - researchgate.net
We propose a realistic hybrid classical-quantum linear solver to solve systems of linear
equations of a specific type, and demonstrate its feasibility using Qiskit on IBM Q systems.
This algorithm makes use of quantum random walk that runs in O (N log (N)) time on a
quantum circuit made of O (log (N)) qubits. The input and output are classical data, and so
can be easily accessed. It is robust against noise, and ready to implement for applications.
equations of a specific type, and demonstrate its feasibility using Qiskit on IBM Q systems.
This algorithm makes use of quantum random walk that runs in O (N log (N)) time on a
quantum circuit made of O (log (N)) qubits. The input and output are classical data, and so
can be easily accessed. It is robust against noise, and ready to implement for applications.
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