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 …
[PDF][PDF] Integration of quantum accelerators with high performance computing-a review of quantum programming tools
A Elsharkawy, XTM To, P Seitz, Y Chen… - arXiv preprint arXiv …, 2023 - cse.wustl.edu
Quantum computing (QC) introduces a novel mode of computation with the possibility of
greater computational power that remains to be exploited—presenting exciting opportunities …
greater computational power that remains to be exploited—presenting exciting opportunities …
Quantum Computing and AI in the Cloud
H Padmanaban - Journal of Computational Intelligence and …, 2024 - thesciencebrigade.com
The intersection of quantum computing and artificial intelligence (AI) within the cloud
environment represents a paradigm shift in the capabilities of computational technologies …
environment represents a paradigm shift in the capabilities of computational technologies …
Quantum Cloud Computing: A Review, Open Problems, and Future Directions
Quantum cloud computing is an emerging paradigm of computing that empowers quantum
applications and their deployment on quantum computing resources without the need for a …
applications and their deployment on quantum computing resources without the need for a …
Frozenqubits: Boosting fidelity of QAOA by skipping hotspot nodes
Quantum Approximate Optimization Algorithm (QAOA) is one of the leading candidates for
demonstrating the quantum advantage using near-term quantum computers. Unfortunately …
demonstrating the quantum advantage using near-term quantum computers. Unfortunately …
The imitation game: Leveraging copycats for robust native gate selection in nisq programs
Quantum programs are written in high-level languages, whereas quantum hardware can
only execute low-level native gates. To run programs on quantum systems, each high-level …
only execute low-level native gates. To run programs on quantum systems, each high-level …
Error mitigation in quantum computers through instruction scheduling
Quantum systems have potential to demonstrate significant computational advantage, but
current quantum devices suffer from the rapid accumulation of error that prevents the storage …
current quantum devices suffer from the rapid accumulation of error that prevents the storage …
iQuantum: a case for modeling and simulation of quantum computing environments
Today's quantum computers are primarily accessible through the cloud and are expected to
be deployed in edge networks in the near future. With the rapid advancement and …
be deployed in edge networks in the near future. With the rapid advancement and …
Prioritization of compiled quantum circuits for different quantum computers
Quantum computers can solve certain problems faster than classical computers. The
number of quantum computers offered via the cloud increases such that a variety is …
number of quantum computers offered via the cloud increases such that a variety is …
TimeStitch: Exploiting slack to mitigate decoherence in quantum circuits
Quantum systems have the potential to demonstrate significant computational advantage,
but current quantum devices suffer from the rapid accumulation of error that prevents the …
but current quantum devices suffer from the rapid accumulation of error that prevents the …