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Author

Karol Kowalski

2 papers indexed here

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Preprint Sep 2026

Adaptive Dissipative State Preparation through Reinforcement Learning

Dissipative algorithms approach the problem of ground state preparation by mimicking the natural thermalization of a quantum system in contact with a large, low-temperature thermal environment. The environment can be efficiently simulated by a single ancilla qubit with a variable energy gap that is repeatedly coupled t...

Nathan M. Myers, Chen-Xu Liu, Yu-Long Dong et al. · 0 citations
Preprint Sep 2026

Toward Resilient Many-Body Formulations under Incomplete Correlation Models: A Dual-Space Variational Formulation

Quantum simulations of correlated many-body systems will inevitably operate with imperfect information: the prepared states may arise from incomplete or approximate ansatze, while their measured Hamiltonian and overlap matrix elements are additionally affected by hardware and statistical noise. Robust quantum algorithm...

Vibin Abraham, Bhumika Jayee, Bo Peng et al. · 0 citations

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