As we begin to reach the limits of classical computing, quantum computing has emerged as
a technology that has captured the imagination of the scientific world. While for many years …

Heterogeneous catalysis plays a critical role in many industrial processes, including the
production of fuels, chemicals, and pharmaceuticals, and research to improve current …

In this paper, we propose quantum circuits for runtime assertions, which can be used for
both software debugging and error detection. Runtime assertion is challenging in quantum …

The limited capabilities of current quantum hardware significantly constrain the scale of
experimental demonstrations of most quantum algorithmic primitives. This makes it …

Recent developments in quantum computers have been pushing up the number of qubits.
However, the state-of-the-art Noisy Intermediate Scale Quantum (NISQ) computers still do …

Portfolio optimization is an essential use case in Finance, but its computational complexity
forces financial institutions to resort to approximated solutions, which are still time …

In this article, we propose a low-complexity quantum principal component analysis (qPCA)
algorithm. Similar to the state-of-the-art qPCA, it achieves dimension reduction by extracting …

It is crucial to reduce the resources required to run quantum algorithms and simulate
physical systems on quantum computers due to coherence time limitations. With regards to …

The contextual subspace variational quantum eigensolver (CS-VQE) is a hybrid quantum-
classical algorithm that approximates the ground-state energy of a given qubit Hamiltonian …

In recent years, quantum algorithms have been developed for accelerating basic linear
algebraic operations applied to vectors encoded in quantum states. Unfortunately, the …