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Variational quantum algorithms (VQAs) optimize the parameters $\vec{\theta}$ of a parametrized quantum circuit $V(\vec{\theta})$ to minimize a cost function $C$.
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Carlos Bravo-Prieto, Diego García-Martín, and José I Latorre, “Quantum singular value decomposer,” Physical Review A 101
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Cristina Cirstoiu, Zoe Holmes, Joseph Iosue, Lukasz Cincio, Patrick J Coles, and Andrew Sornborger, “Variational fast forwarding for quantum simulation beyond the coherence time,” npj Quantum Information 6
2020
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M. Cerezo, Alexander Poremba, Lukasz Cincio, and Patrick J Coles, “Variational quantum fidelity estimation,” Quantum 4
2020
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2020
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Tyler Volkoff and Patrick J Coles, “Large gradients via correlation in random parameterized quantum circuits,” Quantum Science and Technology (2021)
2021
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