Implementing gate operations between uncoupled qubits in linear nearest neighbor arrays using a learning algorithm

DOI10.1007/S11128-013-0526-8zbMath1270.81060OpenAlexW2013351096MaRDI QIDQ356858

Preethika Kumar, Rudrayya Chowdary Garigipati

Publication date: 26 July 2013

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-013-0526-8

zbMATH Keywords

dynamiclearningquantumIsinggatescontrolled-unitarymulti-controlmulti-coupledN-qubitswap

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68) Stochastic learning and adaptive control (93E35) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Quantum control (81Q93)

Related Items (1)

Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective

Cites Work

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• Efficient quantum computing between remote qubits in linear nearest neighbor architectures
• Synthesis of quantum circuits for linear nearest neighbor architectures
• A nearest neighbor architecture to overcome dephasing
• Implementing quantum logic gates with gradient ascent pulse engineering: principles and practicalities
• Fidelity for Mixed Quantum States

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