[PDF][PDF] Assessing requirements to scale to practical quantum advantage

ME Beverland, P Murali, M Troyer… - arxiv preprint …, 2022 - f0myr36v53.xiaobaner.org
While quantum computers promise to solve some scientifically and commercially valuable
problems thought intractable for classical machines, delivering on this promise will require a …

Programming quantum neural networks on nisq systems: An overview of technologies and methodologies

S Markidis - Entropy, 2023 - mdpi.com
Noisy Intermediate-Scale Quantum (NISQ) systems and associated programming interfaces
make it possible to explore and investigate the design and development of quantum …

Paulihedral: a generalized block-wise compiler optimization framework for quantum simulation kernels

G Li, A Wu, Y Shi, A Javadi-Abhari, Y Ding… - Proceedings of the 27th …, 2022 - dl.acm.org
The quantum simulation kernel is an important subroutine appearing as a very long gate
sequence in many quantum programs. In this paper, we propose Paulihedral, a block-wise …

Review of distributed quantum computing. from single qpu to high performance quantum computing

D Barral, FJ Cardama, G Díaz, D Faílde… - arxiv preprint arxiv …, 2024 - arxiv.org
The emerging field of quantum computing has shown it might change how we process
information by using the unique principles of quantum mechanics. As researchers continue …

QIRO: A static single assignment-based quantum program representation for optimization

D Ittah, T Häner, V Kliuchnikov, T Hoefler - ACM Transactions on …, 2022 - dl.acm.org
We propose an IR for quantum computing that directly exposes quantum and classical data
dependencies for the purpose of optimization. The Quantum Intermediate Representation for …

Review of intermediate representations for quantum computing

FJ Cardama, J Vázquez-Pérez, C Piñeiro… - The Journal of …, 2025 - Springer
Intermediate representations (IRs) are fundamental to classical and quantum computing,
bridging high-level quantum programming languages and the hardware-specific instructions …

[HTML][HTML] Encoding trade-offs and design toolkits in quantum algorithms for discrete optimization: coloring, routing, scheduling, and other problems

NPD Sawaya, AT Schmitz, S Hadfield - Quantum, 2023 - quantum-journal.org
Challenging combinatorial optimization problems are ubiquitous in science and
engineering. Several quantum methods for optimization have recently been developed, in …

QSSA: an SSA-based IR for quantum computing

A Peduri, S Bhat, T Grosser - Proceedings of the 31st ACM SIGPLAN …, 2022 - dl.acm.org
Quantum computing hardware has progressed rapidly. Simultaneously, there has been a
proliferation of programming languages and program optimization tools for quantum …

Formalization of quantum intermediate representations for code safety

J Luo, J Zhao - Journal of Systems and Software, 2025 - Elsevier
Abstract Quantum Intermediate Representation (QIR) is an LLVM-based intermediary
representation developed by Microsoft for quantum program compilers. QIR's objective is to …

ISQ: an integrated software stack for quantum programming

J Guo, H Lou, J Yu, R Li, W Fang, J Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
We introduce isQ, a new software stack for quantum programming in an imperative
programming language, also named isQ. The aim of isQ is to make programmers write …