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Trading Imaginary Time for Randomness in Ground State Preparation
Imaginary-time evolution (ITE) is a foundational method for ground state preparation on quantum computers. However, because ITE is non-unitary, existing implementations incur a sample complexity and/or classical cost that scales exponentially with the target imaginary time $β$. Moreover, the state i
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