Quantum computers process information with the laws of quantum mechanics. Current
quantum hardware is noisy, can only store information for a short time and is limited to a few …

Simulating the dynamics of large quantum systems is a formidable yet vital pursuit for
obtaining a deeper understanding of quantum mechanical phenomena. While quantum …

We study methods to replace entangling operations with random local operations in a
quantum computation, at the cost of increasing the number of required executions. First, we …

Distributed quantum computing supports combining the computational power of multiple
quantum devices to overcome the limitations of individual devices. Circuit cutting techniques …

With the increasing sophistication and capability of quantum hardware, its integration, and
employment in high performance computing (HPC) infrastructure becomes relevant. This …

Quantum computing is a promising technology to address combinatorial optimization
problems, for example via the quantum approximate optimization algorithm (QAOA). Its …

Distributed quantum computing leverages multiple quantum devices collectively to perform
computations exceeding each device's capabilities. A currently studied technique to enable …

Circuit cutting allows quantum circuits larger than the available hardware to be executed.
Cutting techniques split circuits into smaller subcircuits, run them on the hardware, and …

In this work, we present MILQ, a quantum unrelated parallel machines scheduler and cutter.
The setting of unrelated parallel machines considers independent hardware backends, each …

Quantum computing can solve complex problems that are beyond the reach of classical
computers. Despite its vast potential, the field of quantum computing is currently hindered by …