Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
Qasmbench: A low-level quantum benchmark suite for nisq evaluation and simulation
The rapid development of quantum computing (QC) in the NISQ era urgently demands a low-
level benchmark suite and insightful evaluation metrics for characterizing the properties of …
level benchmark suite and insightful evaluation metrics for characterizing the properties of …
Integrating quantum computing resources into scientific HPC ecosystems
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …
[PDF][PDF] Benchmarking quantum computer simulation software packages: state vector simulators
A Jamadagni, AM Läuchli, C Hempel - ar** for quantum computing measurement
Observable estimation is a core primitive in NISQ-era algorithms targeting quantum
chemistry applications. To reduce the state preparation overhead required for accurate …
chemistry applications. To reduce the state preparation overhead required for accurate …
UniQ: a unified programming model for efficient quantum circuit simulation
Quantum circuit simulation is critical for verifying quantum computers. Given exponential
complexity in the simulation, existing simulators use different architectures to accelerate the …
complexity in the simulation, existing simulators use different architectures to accelerate the …