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 Hamiltonians.
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A new algorithm converts low-entanglement bosonic Gaussian states to matrix product states in polynomial time without hafnian calculations, yielding speedups on experimental boson sampling data.
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Simulating Thermal Properties of Bose-Hubbard Models on a Quantum Computer
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 Hamiltonians.
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Efficient simulation of low-entanglement bosonic Gaussian states in polynomial time
A new algorithm converts low-entanglement bosonic Gaussian states to matrix product states in polynomial time without hafnian calculations, yielding speedups on experimental boson sampling data.