Term Grouping and Travelling Salesperson for Digital Quantum Simulation
Kaiwen Gui, Teague Tomesh, Pranav Gokhale, Yunong Shi, Frederic T., Chong, Margaret Martonosi, Martin Suchara

TL;DR
This paper introduces a novel term grouping and ordering strategy, max-commute-tsp, to improve quantum simulation fidelity and reduce gate counts by mitigating errors and optimizing circuit design for near-term quantum devices.
Contribution
It proposes the max-commute-tsp method for term ordering and gate cancellation, enhancing quantum simulation accuracy and efficiency on noisy, limited-capability quantum hardware.
Findings
Improved Trotter fidelity through term reordering and partitioning.
Effective gate count reduction via TSP-based gate cancellation.
Demonstrated robustness of methods under realistic noise models.
Abstract
Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing. The large number of quantum gates required for emulating the complete second quantization form of the Hamiltonian, however, makes such an approach unsuitable for near-term devices with limited gate fidelities that cause high physical errors. In addition, Trotter error caused by noncommuting terms can accumulate and harm the overall circuit fidelity, thus causing algorithmic errors. In this paper, we propose a new term ordering strategy, max-commute-tsp (MCTSP), that simultaneously mitigates both algorithmic and physical errors. First, we improve the Trotter fidelity compared with previously proposed optimization by reordering Pauli terms and partitioning them into commuting families. We demonstrate the practicality of this method by…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Advancements in Semiconductor Devices and Circuit Design
