For quantum computers to successfully solve real-world problems, it is necessary to tackle
the challenge of noise: the errors that occur in elementary physical components due to …

Quantum computers have the potential to efficiently simulate the dynamics of nanoscale
NMR systems. In this work, we demonstrate that a noisy intermediate-scale quantum …

Worldwide efforts aim at the realization of advanced quantum simulators and processors.
However, despite the development of intricate hardware and pulse control systems, it may …

As a crossover frontier of physics and mechanics, quantum computing is showing its great
potential in computational mechanics. However, quantum hardware noise remains a critical …

Quantum sensing is one of the most promising applications for quantum technologies.
However, reaching the ultimate sensitivities enabled by the laws of quantum mechanics can …

Automatic differentiation is an invaluable feature of machine learning and quantum machine
learning software libraries. In this work, it is shown how quantum automatic differentiation …

Due to the numerous limitations of current quantum devices, quantum error mitigation
methods become potential solutions for realizing practical quantum applications in the near …

Our study demonstrates successful error mitigation of indistinguishably-related noise in a
quantum photonic processor through the application of the zero-noise extrapolation (ZNE) …

Variational quantum eigensolvers (VQEs) are a promising approach for finding the
classically intractable ground state of a Hamiltonian. The unitary block-optimization scheme …

A common approach to deal with gate errors in modern quantum-computing hardware is
zero-noise extrapolation. By artificially amplifying errors and extrapolating the expectation …