3 papers
quant-ph2020
Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning
Sahar Daraeizadeh, Shavindra P. Premaratne, A. Y. Matsuura
In this paper, we present a machine learning framework to design high-fidelity multi-qubit gates for quantum processors based on quantum dots in silicon, with qubits encoded in the…
quant-ph2019
Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems
Sahar Daraeizadeh, Shavindra P. Premaratne, Xiaoyu Song +2
We use machine learning techniques to design a 50 ns three-qubit flux-tunable controlled-controlled-phase gate with fidelity of >99.99% for nearest-neighbor coupled transmons in ci…
quant-ph2018
Realization of Surface Code Quantum Memory on Systems with Always-On Interactions
Sahar Daraeizadeh, Sarah Mostame, Preethika Kumar Eslami +2
We realize Surface Code quantum memories for nearest-neighbor qubits with always-on Ising interactions. This is done by utilizing multi-qubit gates that mimic the functionality of…