ProjectQ: An Open Source Software Framework for Quantum Computing
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Abstract (arXiv)
We introduce ProjectQ, an open source software effort for quantum computing. The first release features a compiler framework capable of targeting various types of hardware, a high-performance simulator with emulation capabilities, and compiler plug-ins for circuit drawing and resource estimation. We introduce our Python-embedded domain-specific language, present the features, and provide example implementations for quantum algorithms. The framework allows testing of quantum algorithms through simulation and enables running them on actual quantum hardware using a back-end connecting to the IBM Quantum Experience cloud service. Through extension mechanisms, users can provide back-ends to further quantum hardware, and scientists working on quantum compilation can provide plug-ins for additional compilation, optimization, gate synthesis, and layout strategies.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Dec 2016.
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Citing papers per year: 2022: 3; 2023: 1; 2024: 1; 2025: 1.
6 papers.
- 2022Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulationcited by 13
- 2022Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learningcited by 11
- 2023Challenges for Reinforcement Learning in Quantum Circuit Designcited by 9
- 2024Demystifying Higher-Order Graph Neural Networkscited by 4
- 2022Supervised learning of random quantum circuits via scalable neural networkscited by 0
- 2025TorchQuantumDistributedcited by 0
- 2025TorchQuantumDistributed24 Nov 2025
- 2024Demystifying Higher-Order Graph Neural Networks18 Jun 2024
- 2023Challenges for Reinforcement Learning in Quantum Circuit Design18 Dec 2023
- 2022Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation16 Nov 2022
- 2022Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning30 Jun 2022
- 2022Supervised learning of random quantum circuits via scalable neural networks21 Jun 2022