A Practical Quantum Instruction Set Architecture
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Abstract (arXiv)
We introduce an abstract machine architecture for classical/quantum computations---including compilation---along with a quantum instruction language called Quil for explicitly writing these computations. With this formalism, we discuss concrete implementations of the machine and non-trivial algorithms targeting them. The introduction of this machine dovetails with ongoing development of quantum computing technology, and makes possible portable descriptions of recent classical/quantum algorithms.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Aug 2016.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 3; 2024: 1; 2025: 1.
9 papers.
- 2021Generalization in quantum machine learning from few training datacited by 214
- 2022Recent Advances for Quantum Neural Networks in Generative Learningcited by 39
- 2022Systematic Literature Review: Quantum Machine Learning and its applicationscited by 32
- 2023A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Aheadcited by 29
- 2021Variational inference with a quantum computercited by 18
- 2025QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RLcited by 11
- 2024Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theoremcited by 1
- 2023Evaluating quantum generative models via imbalanced data classification benchmarkscited by 0
- 2023Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computingcited by 0
- 2025QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL1 Oct 2025
- 2024Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem12 May 2024
- 2023A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead16 Oct 2023
- 2023Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing1 Oct 2023
- 2023Evaluating quantum generative models via imbalanced data classification benchmarks21 Aug 2023
- 2022Recent Advances for Quantum Neural Networks in Generative Learning7 Jun 2022
- 2022Systematic Literature Review: Quantum Machine Learning and its applications11 Jan 2022
- 2021Generalization in quantum machine learning from few training data9 Nov 2021
- 2021Variational inference with a quantum computer11 Mar 2021