Kernel-Function Based Quantum Algorithms for Finite Temperature Quantum Simulation

Understand

Computing finite temperature properties of a quantum many-body system is key to describing a broad range of correlated quantum many-body physics from quantum chemistry and condensed matter to thermal quantum field theories.

• Quantum computing with rapid developments in recent years has a huge potential to impact the computation of quantum thermodynamics.
• To fulfill the potential impacts, it is crucial to design quantum algorithms that utilize the computation power of the quantum computing devices.
• Here we present a quantum kernel function expansion (QKFE) algorithm for solving thermodynamic properties of quantum many-body systems.