Dissipative preparation of thermal states for kagome antiferromagnets demonstrated on IBM hardware up to 79 spins, with simulations showing scalable circuit depths.
A Quantum-Quantum Metropolis Algorithm
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abstract
Recently, the idea of classical Metropolis sampling through Markov chains has been generalized for quantum Hamiltonians. However, the underlying Markov chain of this algorithm is still classical in nature. Due to Szegedy's method, the Markov chains of classical Hamiltonians can achieve a quadratic quantum speedup in the eigenvalue gap of the corresponding transition matrix. A natural question to ask is whether Szegedy's quantum speedup is merely a consequence of employing classical Hamiltonians, where the eigenstates simply coincide with the computational basis, making cloning of the classical information possible. We solve this problem by introducing a quantum version of the method of Markov-chain quantization combined with the quantum simulated annealing (QSA) procedure, and describe explicitly a novel quantum Metropolis algorithm, which exhibits a quadratic quantum speedup in the eigenvalue gap of the corresponding Metropolis Markov chain for any quantum Hamiltonian. This result provides a complete generalization of the classical Metropolis method to the quantum domain.
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Preparing thermal states of frustrated quantum spin systems using 139 qubits
Dissipative preparation of thermal states for kagome antiferromagnets demonstrated on IBM hardware up to 79 spins, with simulations showing scalable circuit depths.