2 citations · 2 across the 2 of their papers we have counts for
7 papers
Sampling Noise and Optimized Measurement Distribution in Imaginary-Time Quantum Dynamics Simulations
Feng Zhang, Niladri Gomes, Joshua Aftergood +3
Variational quantum dynamics simulations (VQDS) provide a promising route to simulate real- and imaginary-time quantum dynamics on noisy intermediate-scale quantum devices using fi…
Quantum Dynamics Simulation of the Advection-Diffusion Equation
Hirad Alipanah, Feng Zhang, Yongxin Yao +6
The advection-diffusion equation is simulated on a superconducting quantum computer via several quantum algorithms. Three formulations are considered: (1) Trotterization, (2) varia…
Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems
I-Chi Chen, Aleksei Khindanov, Carlos Salazar +6
Simulating correlated materials on present-day quantum hardware remains challenging due to limited quantum resources. Quantum embedding methods offer a promising route by reducing…
Minimally Entangled Typical Thermal States for Classical and Quantum Simulation of 1+1-Dimensional Lattice Gauge Theory at Finite Temperature and Density
I-Chi Chen, João C. Getelina, Klée Pollock +4
Simulating strongly coupled gauge theories at finite temperature and density is a longstanding challenge in nuclear and high-energy physics that also has fundamental implications f…
Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements
Feng Zhang, Cai-Zhuang Wang, Thomas Iadecola +2
The adaptive variational quantum dynamics simulation (AVQDS) method performs real-time evolution of quantum states using automatically generated parameterized quantum circuits that…
Robust preparation of ground state phases under noisy imaginary time evolution
Aleksei Khindanov, Yongxin Yao, Thomas Iadecola
Non-unitary state preparation protocols such as imaginary time evolution (ITE) offer substantial advantages relative to unitary ones, including the ability to prepare certain long-…