Optimization of Circuits for IBM's five-qubit Quantum Computers

Abstract

IBM has made several quantum computers available to researchers around the world via cloud services. Two architectures with five qubits, one with 16, and one with 20 qubits are available to run experiments. The IBM architectures implement gates from the Clifford+T gate library. However, each architecture only implements a subset of the possible CNOT gates. In this paper, we show how Clifford+T circuits can efficiently be mapped into the two IBM quantum computers with 5 qubits. We further present an algorithm and a set of circuit identities that may be used to optimize the Clifford+T circuits in terms of gate count and number of levels. It is further shown that the optimized circuits can considerably reduce the gate count and number of levels and thus produce results with better fidelity.

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• Exploiting Quantum Teleportation in Quantum Circuit Mapping
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• Implementing efficient selective quantum process tomography of superconducting quantum gates on the IBM quantum processor
• QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
• Support Vector Machines on Noisy Intermediate Scale Quantum Computers
• Circuit optimization for IBM processors: A way to get higher fidelity and higher values of nonclassicality witnesses
• Nuwa: A Quantum Circuit Transpiler Based on a Finite-Horizon Heuristic for Placement and Routing
• TIGER: Topology-aware Assignment using Ising machines Application to Classical Algorithm Tasks and Quantum Circuit Gates