Jenga-Krotov algorithm: Efficient compilation of multi-qubit gates for exchange-only qubits

• URL: http://arxiv.org/abs/2507.12448v1
• Date: Wed, 16 Jul 2025 17:40:58 GMT
• Title: Jenga-Krotov algorithm: Efficient compilation of multi-qubit gates for exchange-only qubits
• Authors: Jiahao Wu, Guanjie He, Wenyuan Zhuo, Quan Fu, Xin Wang,
• Abstract summary: Exchange-only (EO) qubits offer a compelling platform for scalable semiconductor-based quantum computing.<n>High-fidelity single- and two-qubit gates have been demonstrated, but synthesis of efficient multi-qubit operations remains a key bottleneck.<n>We introduce a gradient-based optimization algorithm, Jenga-Krotov (JK), tailored to discover compact, high-fidelity EO gate sequences.
• Score: 5.308887545323882
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Exchange-only (EO) qubits, implemented in triple-quantum-dot systems, offer a compelling platform for scalable semiconductor-based quantum computing by enabling universal control through purely exchange interactions. While high-fidelity single- and two-qubit gates have been demonstrated, the synthesis of efficient multi-qubit operations -- such as the Toffoli gate -- remains a key bottleneck. Conventional gate decompositions into elementary operations lead to prohibitively long and error-prone pulse sequences, limiting practical deployment. In this work, we introduce a gradient-based optimization algorithm, Jenga-Krotov (JK), tailored to discover compact, high-fidelity EO gate sequences. Applying JK to the Toffoli gate, we reduce the number of required exchange unitaries from 216 (in standard decomposition) to 92, and compress the time steps required from 162 to 50, all while maintaining target fidelity. Under realistic noise, the accumulated gate error from our optimized sequence is an order of magnitude lower than that of conventional approaches. These results demonstrate that the JK algorithm is a general and scalable strategy for multi-qubit gate synthesis in EO architectures, potentially facilitating realization of multi-qubit algorithms on semiconductor platforms.

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