Quantum computing has shown great potential in various quantum chemical applications
such as drug discovery, material design, and catalyst optimization. Although significant …

Quantum imaginary time evolution (QITE) is a recently proposed quantum-classical hybrid
algorithm that is guaranteed to reach the lowest state of systems. In this study, we present …

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 …

Quantum signal processing (QSP) provides a systematic framework for implementing a
polynomial transformation of a linear operator, and unifies nearly all known quantum …

Imaginary-time evolution is a powerful tool in the study of quantum physics. However,
existing classical algorithms for simulating imaginary-time evolution suffer from high …

Efficient classical simulation of the Schrodinger equation is central to quantum mechanics,
as it is crucial for exploring complex natural phenomena and understanding the fundamental …

The quantum imaginary time evolution (QITE) algorithm is a direct implementation of the
classical imaginary time evolution algorithm on quantum computer. We implement the QITE …

Variational quantum eigensolver (VQE) has emerged as a promising method for
investigating ground state properties in quantum chemistry, materials science, and …

We introduce the framework of model space into quantum imaginary time evolution (QITE) to
enable stable estimation of ground and excited states using a quantum computer. Model …

Quantum computers capable of fault-tolerant operation are expected to provide provable
advantages over classical computational models. However, the question of whether …