EFFICIENT QUANTUM GIBBS SAMPLERS WITH KUBO-MARTIN-SCHWINGER DETAILED BALANCE CONDITION

EFFICIENT QUANTUM GIBBS SAMPLERS WITH KUBO-MARTIN-SCHWINGER DETAILED BALANCE CONDITION

October 30, 2024 | ZHIYAN DING, BOWEN LI, AND LIN LIN
The paper discusses the development of efficient quantum Gibbs samplers using Lindblad dynamics, which are promising for sampling from Gibbs states on quantum computers. The authors build upon the work of Chen, Kastoryano, and Gilyén, who introduced the first efficiently implementable Lindbladian that satisfies the Kubo-Martin-Schwinger (KMS) detailed balance condition. This condition ensures that the Gibbs state is a fixed point of the dynamics and is applicable to non-commuting Hamiltonians. The key contributions of the paper include: 1. **Structural Characterization**: The authors provide a detailed introduction to the canonical forms of Lindbladians with various detailed balance conditions, focusing on the KMS detailed balance condition. 2. **Efficient Quantum Gibbs Samplers**: They develop a family of efficient quantum Gibbs samplers using a finite set of jump operators, which is more flexible and simpler to implement compared to previous methods. 3. **Comparison with Previous Work**: The proposed samplers have a comparable quantum simulation cost but offer greater design flexibility and simpler error analysis. They also encompass the construction by Chen, Kastoryano, and Gilyén as a special instance. The paper also discusses the challenges and limitations of existing methods, such as the need for high precision in simulating the energy levels of the Hamiltonian and the computational complexity of preparing quantum Gibbs states. The authors highlight the importance of efficient quantum Gibbs samplers in realizing potential quantum advantages, particularly in the context of sampling from Gibbs states at constant temperatures. Overall, the paper provides a comprehensive framework for designing efficient quantum Gibbs samplers and demonstrates their practical feasibility through theoretical analysis and algorithmic design.The paper discusses the development of efficient quantum Gibbs samplers using Lindblad dynamics, which are promising for sampling from Gibbs states on quantum computers. The authors build upon the work of Chen, Kastoryano, and Gilyén, who introduced the first efficiently implementable Lindbladian that satisfies the Kubo-Martin-Schwinger (KMS) detailed balance condition. This condition ensures that the Gibbs state is a fixed point of the dynamics and is applicable to non-commuting Hamiltonians. The key contributions of the paper include: 1. **Structural Characterization**: The authors provide a detailed introduction to the canonical forms of Lindbladians with various detailed balance conditions, focusing on the KMS detailed balance condition. 2. **Efficient Quantum Gibbs Samplers**: They develop a family of efficient quantum Gibbs samplers using a finite set of jump operators, which is more flexible and simpler to implement compared to previous methods. 3. **Comparison with Previous Work**: The proposed samplers have a comparable quantum simulation cost but offer greater design flexibility and simpler error analysis. They also encompass the construction by Chen, Kastoryano, and Gilyén as a special instance. The paper also discusses the challenges and limitations of existing methods, such as the need for high precision in simulating the energy levels of the Hamiltonian and the computational complexity of preparing quantum Gibbs states. The authors highlight the importance of efficient quantum Gibbs samplers in realizing potential quantum advantages, particularly in the context of sampling from Gibbs states at constant temperatures. Overall, the paper provides a comprehensive framework for designing efficient quantum Gibbs samplers and demonstrates their practical feasibility through theoretical analysis and algorithmic design.
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