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Trapped Ion Quantum Computing
Superconducting Qubits
Quantum Simulation
Quantum Assisted Simulator
arXiv
Authors: Kishor Bharti, Tobias Haug
Year
2020
Paper ID
19347
Status
Preprint
Abstract Read
~2 min
Abstract Words
124
Citations
N/A
Abstract
Quantum simulation can help us study poorly understood topics such as high-temperature superconductivity and drug design. However, existing quantum simulation algorithms for current quantum computers often have drawbacks that impede their application. Here, we provide a novel hybrid quantum-classical algorithm for simulating the dynamics of quantum systems. Our approach takes the Ansatz wavefunction as a linear combination of quantum states. The quantum states are fixed, and the combination parameters are variationally adjusted. Unlike existing variational quantum simulation algorithms, our algorithm does not require any classical-quantum feedback loop and by construction bypasses the barren plateau problem. Moreover, our algorithm does not require any complicated measurements such as the Hadamard test. The entire framework is compatible with existing experimental capabilities and thus can be implemented immediately.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2020 reference point for readers tracking recent quantum research.
- Quantum simulation can help us study poorly understood topics such as high-temperature superconductivity and drug design.
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