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

Variational quantum algorithms are promising algorithms for achieving quantum advantage
on near-term devices. The quantum hardware is used to implement a variational wave …

With quantum computing devices increasing in scale and complexity, there is a growing
need for tools that obtain precise diagnostic information about quantum operations …

Recently introduced shadow tomography protocols use “classical shadows” of quantum
states to predict many target functions of an unknown quantum state. Unlike full quantum …

As quantum technologies advance, the ability to generate increasingly large quantum states
has experienced rapid development. In this context, the verification and estimation of large …

We develop a framework for learning properties of quantum states beyond the assumption of
independent and identically distributed (iid) input states. We prove that, given any learning …

Unitary Designs have become a vital tool for investigating pseudorandomness since they
approximate the statistics of the uniform Haar ensemble. Despite their central role in …

In quantum information theory, the accurate estimation of observables is pivotal for quantum
information processing, playing a crucial role in computational and communication …

Predicting properties of large-scale quantum systems is crucial for the development of
quantum science and technology. Shadow estimation is an efficient method for this task …

Authentication of quantum sources is a crucial task in building reliable and efficient protocols
for quantum-information processing. Steady progress vis-à-vis verification of quantum …