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A rigorous hybridization of variational quantum eigensolver with classical neural network
Minwoo James Kim, Kyoung Keun Park, Kyungmin Lee +2
Combining variational quantum process with classical neural learning offers a flexible route to improve ground-state estimation. We establish an integrated framework that connects…
A scalable quantum-neural hybrid variational algorithm for ground state estimation
Minwoo Kim, Kyoung Keun Park, Uihwan Jeong +2
We propose the unitary variational quantum-neural hybrid eigensolver (U-VQNHE), which improves upon the original VQNHE by enforcing unitary neural transformations. The non-unitary…
Quantum Linear Multistep Method for Using a Quantum Oracle with Differential Equations
Kyoung Keun Park, Kwangyeul Choi, Minwoo Kim +2
Differential equations are a crucial mathematical tool used in a wide range of applications. If the solution to an initial value problem (IVP) can be transformed into an oracle, it…