Bridging the Gap between Classical & Quantum Simulation

Classical computers have revolutionized industry and science by facilitating simulations of physical systems crucial for process design and cost reduction.

Quantum computers, capable of storing and processing quantum states, hold promise for simulating complex quantum systems, potentially leading to a transformative "second quantum revolution".

Yet, the development of applications of quantum computers faces challenges, including the limited capabilities of current devices and the requirement for substantial resources and expertise in designing future-proof algorithms.

Classical computational physics, leveraging tools like tensor networks and quantum Monte Carlo, continues to progress, offering ingenious and competitive methods to simulate quantum systems on classical computers.

In this workshop, we aim to explore the intersection of classical and quantum algorithms, addressing the tension between the promises and capabilities of quantum algorithms in connection to the evolving landscape of classical simulation methods.

The goal of the workshop is to bridge gaps in language and understanding among scientists from different backgrounds, such as computer scientists and physicists, who approach problems with different perspectives.

Additionally, the workshop aims to update researchers on the latest developments in different fields, fostering collaboration and identifying the best tools to simulate quantum systems effectively.