Variational quantum computing offers a flexible computational paradigm with applications in
diverse areas. However, a key obstacle to realizing their potential is the Barren Plateau (BP) …

Understanding the real-time evolution of many-electron quantum systems is essential for
studying dynamical properties in condensed matter, quantum chemistry, and complex …

Quantum computing is emerging as a new computational paradigm with the potential to
transform several research fields including quantum chemistry. However, current hardware …

Quantum computing has emerged as a powerful computational paradigm capable of solving
problems beyond the reach of classical computers. However, today's quantum computers …

Simulating the dynamics of large quantum systems is a formidable yet vital pursuit for
obtaining a deeper understanding of quantum mechanical phenomena. While quantum …

Non-Markovianity, the intricate dependence of an open quantum system on its temporal
evolution history, holds tremendous implications across various scientific disciplines …

The near-term utility of quantum computers is hindered by hardware constraints in the form
of noise. One path to achieving noise resilience in hybrid quantum algorithms is to decrease …

We simulate the critical behavior of the Ising model utilizing a thermal state prepared using
quantum computing techniques. The preparation of the thermal state is based on the …

Hybrid quantum-classical algorithms appear to be the most promising approach for near-
term quantum applications. An important bottleneck is the classical optimization loop, where …

Quantum imaginary-time evolution (QITE) is a promising tool to prepare thermal or ground
states of Hamiltonians, as convergence is guaranteed when the evolved state overlaps with …