We show how to efficiently decompose a parameterized multi-qubit Pauli (PMQP) gate into native parameterized two-qubit Pauli (P2QP) gates minimizing both the circuit depth and the number of P2QP gates. Given a realistic quantum computational model, we argue that the technique is optimal in terms of the number of hardware native gates and the overall depth of the decomposition. Starting from PMQP gate decompositions for the path and star hardware graph, we generalize the procedure to any generic hardware graph and provide exact expressions for the depth and number of P2QP gates of the decomposition. Furthermore, we show how to efficiently combine the decomposition of multiple PMQP gates to further reduce the depth as well as the number of P2QP gates for a combinatorial optimization problem using the Lechner-Hauke-Zoller (LHZ) mapping.
Direct fidelity estimation through joint fiducial grouping
ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology（光子科学研究所，巴塞罗那科技研究院）；Centre for Quantum Technologies, National University of Singapore（量子技术中心，新加坡国立大学）
Branch-resolved Pauli-block spectroscopy of residual conditional phase in two-qubit gates
Beijing Academy of Quantum Information Sciences（北京量子信息科学研究院）；Beijing Key Laboratory of Fault-Tolerant Quantum Computing（容错量子计算北京市重点实验室）；State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University（清华大学物理系低维量子物理国家重点实验室）；Hefei National Laboratory（合肥国家实验室）；School of Medical Technology, Beijing Institute of Technology（北京理工大学医学技术学院）
Fourier-Geometric Circuit Design for Gate and Entanglement Placement in Quantum Neural Networks
Korea University（韩国大学）；Sookmyung Women’s University（淑明女子大学）；Purdue University（普渡大学）；Indiana University（印第安纳大学）；Seoul National University Hospital（首尔大学医院）
Quantum-Adaptive KS($φ$): A Parameterized Three-Qubit Gate Family Embedding Toffoli with Measurement-Free Phase Kickback and Intrinsic Error Non-Amplification
