We present two algorithms, one quantum and one classical, for estimating partition functions of quantum spin Hamiltonians. The former is a DQC1 (Deterministic quantum computation with one clean qubit) algorithm, and the first such for complex temperatures. The latter, for real temperatures, achieves performance comparable to a state-of-the-art DQC1 algorithm [Chowdhury et al. Phys. Rev. A 103, 032422 (2021)]. Both our algorithms take as input the Hamiltonian decomposed as a linear combination Pauli operators. We show this decomposition to be DQC1-hard for a given Hamiltonian, providing new insight into the hardness of estimating partition functions
We provide a quantum algorithm for the exact evaluation of the Potts partition function for a certai...
Computing finite temperature properties of a quantum many-body system is key to describing a broad r...
A scheme for measuring complex temperature partition functions of Ising models is introduced. In the...
We present two algorithms, one quantum and one classical, for estimating partition functions of quan...
The partition function and free energy of a quantum many-body system determine its physical properti...
We establish a polynomial-time approximation algorithm for partition functions of quantum spin model...
We present a quantum algorithm based on classical fully polynomial randomized approximation schemes ...
We give efficient quantum algorithms to estimate the partition function of (i) the six-vertex model ...
We establish a polynomial-time approximation algorithm for partition functions of quantum spin model...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we study classical and quantum sp...
Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators. In t...
We present a quantum algorithm to prepare the thermal Gibbs state of interacting quantum systems. Th...
We establish an efficient approximation algorithm for the partition functions of a class of quantum ...
We present a quantum algorithm to prepare the thermal Gibbs state of interacting quantum systems. Th...
© 2016 American Physical Society. We use the class of commuting quantum computations known as IQP (i...
We provide a quantum algorithm for the exact evaluation of the Potts partition function for a certai...
Computing finite temperature properties of a quantum many-body system is key to describing a broad r...
A scheme for measuring complex temperature partition functions of Ising models is introduced. In the...
We present two algorithms, one quantum and one classical, for estimating partition functions of quan...
The partition function and free energy of a quantum many-body system determine its physical properti...
We establish a polynomial-time approximation algorithm for partition functions of quantum spin model...
We present a quantum algorithm based on classical fully polynomial randomized approximation schemes ...
We give efficient quantum algorithms to estimate the partition function of (i) the six-vertex model ...
We establish a polynomial-time approximation algorithm for partition functions of quantum spin model...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we study classical and quantum sp...
Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators. In t...
We present a quantum algorithm to prepare the thermal Gibbs state of interacting quantum systems. Th...
We establish an efficient approximation algorithm for the partition functions of a class of quantum ...
We present a quantum algorithm to prepare the thermal Gibbs state of interacting quantum systems. Th...
© 2016 American Physical Society. We use the class of commuting quantum computations known as IQP (i...
We provide a quantum algorithm for the exact evaluation of the Potts partition function for a certai...
Computing finite temperature properties of a quantum many-body system is key to describing a broad r...
A scheme for measuring complex temperature partition functions of Ising models is introduced. In the...