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quant-ph2026
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…
quant-ph2026
A rigorous hybridization of variational quantum eigensolver and classical neural network
Minwoo Kim, Kyoung Keun Park, Kyungmin Lee +2
Neural post-processing has been proposed as a lightweight route to enhance variational quantum eigensolvers by learning how to reweight measurement outcomes. In this work, we ident…
quant-ph2025
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…