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arxiv 2411.02578 v1 pith:AKR4A2VA submitted 2024-11-04 quant-ph

Optimizing random local Hamiltonians by dissipation

classification quant-ph
keywords quantumlocalstatesfermionicgibbslow-energyrandomsampling
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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A central challenge in quantum simulation is to prepare low-energy states of strongly interacting many-body systems. In this work, we study the problem of preparing a quantum state that optimizes a random all-to-all, sparse or dense, spin or fermionic $k$-local Hamiltonian. We prove that a simplified quantum Gibbs sampling algorithm achieves a $\Omega(\frac{1}{k})$-fraction approximation of the optimum, giving an exponential improvement on the $k$-dependence over the prior best (both classical and quantum) algorithmic guarantees. Combined with the circuit lower bound for such states, our results suggest that finding low-energy states for sparsified (quasi)local spin and fermionic models is quantumly easy but classically nontrivial. This further indicates that quantum Gibbs sampling may be a suitable metaheuristic for optimization problems.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Simulating Thermal Properties of Bose-Hubbard Models on a Quantum Computer

    quant-ph 2026-04 unverdicted novelty 8.0

    A new rigorous Gibbs sampling method is given for bosonic models by proving that their dissipative generators have positive spectral gaps, enabling efficient quantum preparation of thermal states for Bose-Hubbard Hami...

  2. Quantum Glassiness From Efficient Learning

    quant-ph 2025-04 unverdicted novelty 8.0

    Efficient learning algorithms for energy estimation imply that stable quantum algorithms cannot prepare low-energy states in systems exhibiting the quantum overlap gap property, as proven for a sparsified quantum p-sp...

  3. Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties

    quant-ph 2025-09 unverdicted novelty 7.0

    Quantum algorithms achieve exponential fast-forwarding for structured Lindbladian dynamics and coherence-dependent exponential speedup in Gibbs state property estimation.