The vacuum of the lattice Schwinger model is prepared on up to 100 qubits of IBM's Eagle- processor quantum computers. A new algorithm to prepare the ground state of a gapped …
Entanglement forging based variational algorithms leverage the bipartition of quantum systems for addressing ground-state problems. The primary limitation of these approaches …
In the noisy intermediate-scale quantum era, variational algorithms have become a standard approach to solving quantum many-body problems. Here, we present variational quantum …
S Wu, W Du, X Zhao, JP Vary - Physical Review D, 2024 - APS
We present an efficient and precise framework to quantum simulate the dynamics of the ultrarelativistic quark-nucleus scattering. This framework employs the eigenbasis of the …
Quantum entanglement offers a unique perspective into the underlying structure of strongly- correlated systems such as atomic nuclei. In this paper, we use quantum information tools to …
Numerical simulation is an important method for verifying the quantum circuits used to simulate low-energy nuclear states. However, real-world applications of quantum computing …
In this paper, the application of quantum simulations and quantum machine learning is explored to solve problems in low‐energy nuclear physics. The use of quantum computing …
P Wang, W Du, W Zuo, JP Vary - Physical Review C, 2024 - APS
We propose a hybrid quantum-classical framework to solve the elastic-scattering phase shift of two well-bound nuclei in an uncoupled channel. Within this framework, we develop a …
Exploring the ground state properties of many-body quantum systems conventionally involves adiabatic processes, alongside exact diagonalization, in the context of quantum …