Memory is an indispensable component in classical computing systems. While the
development of quantum computing is still in its early stages, current quantum processing …

The emerging availability of quantum compute resources fosters the examination of its
exploitation possibilities in different scientific domains, like artificial intelligence …

We present hierarchical learning, a novel variational architecture for efficient training of large-
scale variational quantum circuits. We test and benchmark our technique for distribution …

Quantum simulation, fundamental in quantum algorithm design, extends far beyond its
foundational roots, powering diverse quantum computing applications. However, optimizing …

We propose a numerical approach to design highly efficient adiabatic schedules for analog
quantum computing, focusing on the maximum independent set problem and neutral atom …

As quantum computing field is starting to reach the realm of advantage over classical
algorithms, simulating quantum circuits becomes increasingly challenging as we design and …

Two transformative waves of computing have redefined the way we approach science. The
first wave came with the birth of the digital computer, which enabled scientists to numerically …

The speed of elementary quantum gates, especially two-qubit gates, sets a fundamental limit
on how fast a quantum computer can run. For current quantum computers that are subject to …

Quantum Computing could offer significant improvements to certain problems over their
classical counterparts. A commonly studied problem is the Constraint Satisfaction Problem …