Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …

We introduce a quantum algorithm to compute the market risk of financial derivatives.
Previous work has shown that quantum amplitude estimation can accelerate derivative …

This is a review of recent research exploring and extending present-day quantum computing
capabilities for fusion energy science applications. We begin with a brief tutorial on both …

Quantum signal processing (QSP) represents a real scalar polynomial of degree $ d $ using
a product of unitary matrices of size $2\times 2$, parameterized by $(d+ 1) $ real numbers …

Recent work shows that quantum signal processing (QSP) and its multi-qubit lifted version,
quantum singular value transformation (QSVT), unify and improve the presentation of most …

We develop a framework to simulate jet quenching in nuclear environments on a quantum
computer. The formulation is based on the light-front Hamiltonian dynamics of QCD. The …

Numerical modeling of radio-frequency waves in plasma with sufficiently high spatial and
temporal resolution remains challenging even with modern computers. However, such …

We introduce two quantum algorithms to compute the Value at Risk (VaR) and Conditional
Value at Risk (CVaR) of financial derivatives using quantum computers: the first by applying …

Den galnaste utmaningen jag har gjort har inte varit fallskärmshoppning; segla Amazonas
på en hemlagad flotte; skalning Mt. Everest; eller gräva efter artefakter ovanpå en kulle i en …