Programmable quantum simulators and quantum computers are opening unprecedented
opportunities for exploring and exploiting the properties of highly entangled complex …

With the rapid development of quantum technologies, a pressing need has emerged for a
wide array of tools for the certification and characterization of quantum devices. Such tools …

Noise in quantum computers can result in biased estimates of physical observables.
Accurate bias-free estimates can be obtained using probabilistic error cancellation, an error …

Performing large calculations with a quantum computer will likely require a fault-tolerant
architecture based on quantum error-correcting codes. The challenge is to design practical …

Generalization bounds are a critical tool to assess the training data requirements of
Quantum Machine Learning (QML). Recent work has established guarantees for in …

We study the power of quantum memory for learning properties of quantum systems and
dynamics, which is of great importance in physics and chemistry. Many state-of-the-art …

Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …

Noise is the central obstacle to building large-scale quantum computers. Quantum systems
with sufficiently uncorrelated and weak noise could be used to solve computational …

The successful implementation of algorithms on quantum processors relies on the accurate
control of quantum bits (qubits) to perform logic gate operations. In this era of noisy …

Quantum computers can now run interesting programs, but each processor's capability—the
set of programs that it can run successfully—is limited by hardware errors. These errors can …