An Automata-based Framework for Verification and Bug Hunting in Quantum Circuits (Technical Report)
Yu-Fang Chen, Kai-Min Chung, Ond\v{r}ej Leng\'al, Jyun-Ao Lin, Wei-Lun, Tsai, Di-De Yen

TL;DR
This paper presents an automata-based framework for analyzing and bug hunting in quantum circuits, enabling scalable verification by representing quantum states with tree automata and avoiding floating-point inaccuracies.
Contribution
The authors introduce a novel automata-based method for quantum circuit analysis, allowing scalable bug detection and verification of large quantum circuits.
Findings
Verified circuits with up to 40 qubits and 141,527 gates
Detected bugs in circuits with 320 qubits and 1,758 gates
Outperformed existing tools in scalability and accuracy
Abstract
We introduce a new paradigm for analysing and finding bugs in quantum circuits. In our approach, the problem is given by a triple and the question is whether, given a set of quantum states on the input of a circuit , the set of quantum states on the output is equal to (or included in) a set . While this is not suitable to specify, e.g., functional correctness of a quantum circuit, it is sufficient to detect many bugs in quantum circuits. We propose a technique based on tree automata to compactly represent sets of quantum states and develop transformers to implement the semantics of quantum gates over this representation. Our technique computes with an algebraic representation of quantum states, avoiding the inaccuracy of working with floating-point numbers. We implemented the proposed approach in a prototype tool and evaluated its performance against various…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Machine Learning and Algorithms · Parallel Computing and Optimization Techniques
