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Technical University of Denmark, University of Southampton
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Exact Hamiltonian transformations can halve the computational cost of operator selection in fermionic ADAPT-VQE, making it nearly as efficient as gradient-based methods.
Quantum Krylov methods aren't failing because of ill-conditioning as previously thought, but due to statistical noise, highlighting the need for new regularization techniques.
