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Automatica

Design of an approximate quantum encoding model based on quantum circuits

Jin Zheng, Qing Gao, Yi Du, Jinhu Lü, Maciej Ogorzałek

Published May 15, 2026• 0 citations
Publisher
DOI
10.1016/j.automatica.2026.113052

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Understanding fault-tolerant properties of quantum circuits is important for designing large-scale quantum information processors. In particular, simulating properties of encoded circuits is a crucial tool for investigating the relationship between properties such as the noise model, encoding scheme, and threshold value. For general noisy circuits, these simulations quickly become intractable in the size of the encoded circuit. We introduce a general theoretical method for approximating a noise process by one that allows for efficient Monte Carlo simulation of properties of encoded circuits. The approximation is as close to the original process as possible without overestimating its ability to preserve quantum information, a key property for obtaining honest estimates of threshold values. We numerically illustrate the method with various physically relevant noise models.
This paper proposes an approximate quantum amplitude encoding (AQAE) model that can be deployed on parameterized quantum circuits (PQCs), providing a novel avenue to efficiently encode quantum states with shallow circuit depth and a reduced number of quantum gates. The AQAE is established by the simulation quantum circuit and the implementation quantum circuit. Simulation results on public datasets demonstrate the high-fidelity encoding capability, the efficient learning capability, and the robustness of the proposed model.
Boolean Satisfiability (SAT) techniques are well-established in classical computing where they are used to solve a broad variety of problems, e.g., in the design of classical circuits and systems. Analogous to the classical realm, quantum algorithms are usually modelled as circuits and similar design tasks need to be tackled. Thus, it is natural to pose the question whether these design tasks in the quantum realm can also be approached using SAT techniques. To the best of our knowledge, no SAT formulation for arbitrary quantum circuits exists and it is unknown whether such an approach is feasible at all. In this work, we define a propositional SAT encoding that, in principle, can be applied to arbitrary quantum circuits. However, we show that, due to the inherent complexity of representing quantum states, constructing such an encoding is not feasible in general. Therefore, we establish general criteria for determining the feasibility of the proposed encoding and identify classes of quantum circuits fulfilling these criteria. We explicitly demonstrate how the proposed encoding can be applied to the class of Clifford circuits as a representative. Finally, we empirically demonstrate the applicability and efficiency of the proposed encoding for Clifford circuits. With these results, we lay the foundation for continuing the ongoing success of SAT in classical circuit and systems design for quantum circuits.