Bosonic quantum devices offer a novel approach to realize quantum computations, where
the quantum two-level system (qubit) is replaced with the quantum (an) harmonic oscillator …

Quantum systems in excited states are attracting significant interest with the advent of noisy
intermediate-scale quantum (NISQ) devices. While ground states of small molecular systems …

As a valid tool for solving ground state problems, imaginary time evolution (ITE) is widely
used in physical and chemical simulations. Different ITE-based algorithms in their quantum …

Computations with quantum harmonic oscillators, or qumodes, represents a promising and
rapidly evolving approach for quantum computing. Unlike qubits, which are two-level …

We introduce variational hybrid classical-quantum algorithms to simulate the Lindblad
master equation and its adjoint for time-evolving Markovian open quantum systems and …

Many promising quantum applications depend on the efficient quantum simulation of an
exponentially large sparse Hamiltonian, a task known as sparse Hamiltonian simulation …

The variational quantum imaginary time-evolution algorithm is efficient in finding the ground
state of a quantum Hamiltonian. This algorithm involves solving a system of linear equations …

The nexus of quantum computing and machine learning-quantum machine learning-offers
the potential for significant advancements in chemistry. This review specifically explores the …

Error mitigation techniques, while instrumental in extending the capabilities of near-term
quantum computers, often suffer from exponential resource scaling with noise levels. To …

Expanding the benefits of quantum computing to new domains remains a challenging task.
Quantum applications are concentrated in only a few domains, and driven by these few, the …