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 …
[PDF][PDF] Benchmarking quantum computer simulation software packages: state vector simulators
Rapid advances in quantum computing technology lead to an increasing need for software
simulators that enable both algorithm design and the validation of results obtained from …
simulators that enable both algorithm design and the validation of results obtained from …
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 …
Benchmarking quantum computer simulation software packages
Rapid advances in quantum computing technology lead to an increasing need for software
simulators that enable both algorithm design and the validation of results obtained from …
simulators that enable both algorithm design and the validation of results obtained from …
FlatDD: A High-Performance Quantum Circuit Simulator using Decision Diagram and Flat Array
Quantum circuit simulator (QCS) is essential for designing quantum algorithms because it
assists researchers in understanding how quantum operations work without access to …
assists researchers in understanding how quantum operations work without access to …
Deep quantum circuit simulations of low-energy nuclear states
Numerical simulation is an important method for verifying the quantum circuits used to
simulate low-energy nuclear states. However, real-world applications of quantum computing …
simulate low-energy nuclear states. However, real-world applications of quantum computing …
Quantum simulations of SO (5) many-fermion systems using qudits
Background: The structure and dynamics of many-body systems are the result of a delicate
interplay between underlying interactions. Fermionic pairing, for example, plays a central …
interplay between underlying interactions. Fermionic pairing, for example, plays a central …
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 …
Efficient hierarchical state vector simulation of quantum circuits via acyclic graph partitioning
Early but promising results in quantum computing have been enabled by the concurrent
development of quan-tum algorithms, devices, and materials. Classical simulation of …
development of quan-tum algorithms, devices, and materials. Classical simulation of …