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Can I read Mutual Information-assisted Adaptive Variational Quantum Eigensolver on EtoBox?
Mutual Information-assisted Adaptive Variational Quantum Eigensolver by Zi-Jian Zhang; Thi Ha Kyaw; Jakob S Kottmann; Matthias Degroote; Alán Aspuru-Guzik is a Computer Science article available to read on EtoBox.
What is Mutual Information-assisted Adaptive Variational Quantum Eigensolver about?
Adaptive construction of ansatz circuits offers a promising route towards applicable variational quantum eigensolvers on near-term quantum hardware. Those algorithms aim to build up optimal circuits for a certain problem and ansatz circuits are adaptively constructed by selecting and adding entanglers from a predefined pool. In this work, we propose a way to construct entangler pools with reduced size by leveraging classical algorithms. Our method uses mutual information between the qubits in classically approximated ground state to rank and screen the entanglers. The density matrix renormalization group method is employed for classical precomputation in this work. We corroborate our method numerically on small molecules. Our numerical experiments show that a reduced entangler pool with a small portion of the original entangler pool can achieve same numerical accuracy. We believe that our method paves a new way for adaptive construction of ansatz circuits for variational quantum algorithms.
Who reads Mutual Information-assisted Adaptive Variational Quantum Eigensolver?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Zi-Jian Zhang; Thi Ha Kyaw; Jakob S Kottmann; Matthias Degroote; Alán Aspuru-Guzik
- Publisher
- IOP Publishing
- Published
- 2021
- Language
- EN
- Field
- Computer Science (Physical Sciences)