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A noise-limiting quantum algorithm using mid-circuit measurements for dynamical correlations at infinite temperature
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It is generally considered that the signal output by a quantum circuit is attenuated exponentially fast in the number of gates. This letter explores how algorithms using mid-circuit measurements and classical conditioning as computational tools (and not as error mitigation or correction subroutines) can be naturally resilient to complete decoherence, and maintain quantum states with useful properties even for infinitely deep noisy circuits. Specifically, we introduce a quantum channel built out of mid-circuit measurements and feed-forward, that can be used to compute dynamical correlations at infinite temperature and canonical ensemble expectation values for any Hamiltonian. The unusual property of this algorithm is that in the presence of a depolarizing channel it still displays a meaningful, non-zero signal in the large depth limit. We showcase the noise resilience of this quantum channel on Quantinuum's H1-1 ion-trap quantum computer.
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Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
A simplified Lindblad-based Gibbs state preparation protocol with local Pauli jumps is shown to mix polynomially under the eigenstate thermalization hypothesis, with numerical and noise-resilience analysis.
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