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[PDF][PDF] Assessing requirements to scale to practical quantum advantage
While quantum computers promise to solve some scientifically and commercially valuable
problems thought intractable for classical machines, delivering on this promise will require a …
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 …
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
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 …
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
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 …
information by using the unique principles of quantum mechanics. As researchers continue …
QIRO: A static single assignment-based quantum program representation for optimization
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 …
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 …
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
Challenging combinatorial optimization problems are ubiquitous in science and
engineering. Several quantum methods for optimization have recently been developed, in …
engineering. Several quantum methods for optimization have recently been developed, in …
QSSA: an SSA-based IR for quantum computing
Quantum computing hardware has progressed rapidly. Simultaneously, there has been a
proliferation of programming languages and program optimization tools for quantum …
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 …
representation developed by Microsoft for quantum program compilers. QIR's objective is to …
ISQ: an integrated software stack for quantum programming
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 …
programming language, also named isQ. The aim of isQ is to make programmers write …