Phase Gadget Synthesis for Shallow Circuits
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Abstract (arXiv)
We give an overview of the circuit optimisation methods used by tket, a compiler system for quantum software developed by Cambridge Quantum Computing Ltd. We focus on a novel technique based around phase gadgets, a family of multi-qubit quantum operations which occur naturally in a wide range of quantum circuits of practical interest. The phase gadgets have a simple presentation in the ZX-calculus, which makes it easy to reason about them. Taking advantage of this, we present an efficient method to translate the phase gadgets back to CNOT gates and single qubit operations suitable for execution on a quantum computer with significant reductions in gate count and circuit depth. We demonstrate the effectiveness of these methods on a quantum chemistry benchmarking set based on variational circuits for ground state estimation of small molecules.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2019.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 0; 2024: 0; 2025: 1; 2026: 3.
8 papers.
- 2021Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculuscited by 30
- 2021Diagrammatic Differentiation for Quantum Machine Learningcited by 5
- 2021How to make qubits speakcited by 5
- 2025Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networkscited by 2
- 2021Representing and Implementing Matrices Using Algebraic ZX-calculuscited by 0
- 2026Deep Learning Approaches to Quantum Error Mitigationcited by 0
- 2026Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passescited by 0
- 2026Bridge of Psi's: Quantum Circuit Optimization with Schr"odinger Bridgescited by 0
- 2026Bridge of Psi's: Quantum Circuit Optimization with Schr"odinger Bridges22 Sep 2026
- 2026Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes29 Jan 2026
- 2026Deep Learning Approaches to Quantum Error Mitigation20 Jan 2026
- 2025Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks4 Apr 2025
- 2021Representing and Implementing Matrices Using Algebraic ZX-calculus13 Oct 2021
- 2021How to make qubits speak2 Jul 2021
- 2021Diagrammatic Differentiation for Quantum Machine Learning14 Mar 2021
- 2021Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus3 Feb 2021