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Sampling from the thermal quantum Gibbs state and evaluating partition functions with a quantum computer

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arxiv 0905.2199 v2 pith:6VVQR5Z5 submitted 2009-05-13 quant-ph

Sampling from the thermal quantum Gibbs state and evaluating partition functions with a quantum computer

classification quant-ph
keywords quantumsystemalgorithmproportionaltimealphagibbspartition
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present a quantum algorithm to prepare the thermal Gibbs state of interacting quantum systems. This algorithm sets a universal upper bound D^alpha on the thermalization time of a quantum system, where D is the system's Hilbert space dimension and alpha < 1/2 is proportional to the Helmholtz free energy density of the system. We also derive an algorithm to evaluate the partition function of a quantum system in a time proportional to the system's thermalization time and inversely proportional to the targeted accuracy squared.

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Cited by 5 Pith papers

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

  1. Efficient thermalization and universal quantum computing with quantum Gibbs samplers

    quant-ph 2024-03 unverdicted novelty 7.0

    Quantum Gibbs samplers thermalize to Gibbs states in polynomial time at high temperatures for Lieb-Robinson bounded Hamiltonians and are BQP-complete at low temperatures via circuit-to-Hamiltonian reductions.

  2. Preparing thermal states of frustrated quantum spin systems using 139 qubits

    quant-ph 2026-05 unverdicted novelty 6.0

    Dissipative preparation of thermal states for kagome antiferromagnets demonstrated on IBM hardware up to 79 spins, with simulations showing scalable circuit depths.

  3. Preparing High-Fidelity Thermofield Double States

    quant-ph 2026-05 unverdicted novelty 6.0

    A gapped parent Hamiltonian built from two copies of a target Hamiltonian plus ultra-local inter-copy couplings allows adiabatic preparation of high-fidelity thermofield double states for ETH-obeying systems.

  4. Preparing thermal states of frustrated quantum spin systems using 139 qubits

    quant-ph 2026-05 unverdicted novelty 5.0

    Dissipative protocols on quantum hardware prepare approximate thermal states for kagome AFIM up to 79 sites and AFHM via simulation, with circuit depth independent of size and linear in inverse temperature.

  5. Lower overhead fault-tolerant building blocks for noisy quantum computers

    quant-ph 2026-05 unverdicted novelty 5.0

    New combinatorial proofs and circuit designs for quantum error correction reduce physical qubit overhead by up to 10x and time overhead by 2-6x for codes including Steane, Golay, and surface codes.