2D Qubit Placement of Quantum Circuits using LONGPATH
Mrityunjay Ghosh, Nivedita Dey, Debdeep Mitra, Amlan Chakrabarti

TL;DR
This paper proposes two algorithms to optimize qubit placement in quantum circuits, significantly reducing SWAP gates needed for physical implementation on 2D grids, thereby improving efficiency.
Contribution
It introduces novel algorithms for qubit placement that minimize SWAP gates in 2D quantum architectures, enhancing quantum circuit synthesis.
Findings
Significant reduction in SWAP gates for 1D and 2D architectures.
Improved efficiency in quantum circuit physical synthesis.
Algorithms applicable to arbitrary quantum circuits.
Abstract
In order to achieve speedup over conventional classical computing for finding solution of computationally hard problems, quantum computing was introduced. Quantum algorithms can be simulated in a pseudo quantum environment, but implementation involves realization of quantum circuits through physical synthesis of quantum gates. This requires decomposition of complex quantum gates into a cascade of simple one qubit and two qubit gates. The methodological framework for physical synthesis imposes a constraint regarding placement of operands (qubits) and operators. If physical qubits can be placed on a grid, where each node of the grid represents a qubit then quantum gates can only be operated on adjacent qubits, otherwise SWAP gates must be inserted to convert non-Linear Nearest Neighbor architecture to Linear Nearest Neighbor architecture. Insertion of SWAP gates should be made optimal to…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Parallel Computing and Optimization Techniques
