Best Approximate Quantum Compiling Problems
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Abstract (arXiv)
We study the problem of finding the best approximate circuit that is the closest (in some pertinent metric) to a target circuit, and which satisfies a number of hardware constraints, like gate alphabet and connectivity. We look at the problem in the CNOT+rotation gate set from a mathematical programming standpoint, offering contributions both in terms of understanding the mathematics of the problem and its efficient solution. Among the results that we present, we are able to derive a 14-CNOT 4-qubit Toffoli decomposition from scratch, and show that the Quantum Shannon Decomposition can be compressed by a factor of two without practical loss of fidelity.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Jun 2021.
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Citing papers per year: 2023: 1; 2024: 4; 2025: 3.
8 papers.
- 2025Quantum Doubly Stochastic Transformerscited by 6
- 2025Synthesis of discrete-continuous quantum circuits with multimodal diffusion modelscited by 6
- 2024Quantum Compiling with Reinforcement Learning on a Superconducting Processorcited by 4
- 2024Quantum Theory and Application of Contextual Optimal Transportcited by 3
- 2023RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Trainingcited by 2
- 2025Pauli Network Circuit Synthesis with Reinforcement Learningcited by 2
- 2024A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesiscited by 1
- 2024AI methods for approximate compiling of unitariescited by 0
- 2025Synthesis of discrete-continuous quantum circuits with multimodal diffusion models2 Jun 2025
- 2025Quantum Doubly Stochastic Transformers22 Apr 2025
- 2025Pauli Network Circuit Synthesis with Reinforcement Learning18 Mar 2025
- 2024A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis4 Dec 2024
- 2024AI methods for approximate compiling of unitaries30 Jul 2024
- 2024Quantum Compiling with Reinforcement Learning on a Superconducting Processor18 Jun 2024
- 2024Quantum Theory and Application of Contextual Optimal Transport22 Feb 2024
- 2023RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training27 Nov 2023