Trajectree - A quantum trajectory-based quantum circuit simulator
Abstract
We introduce Trajectree, a quantum trajectory-based quantum circuit simulator that uses a novel, state-saving partial execution of the quantum circuits to simulate broad and deep noisy quantum circuits efficiently. Trajectree can efficiently generate a large number of Monte Carlo samples by saving partially executed trajectories. We conduct extensive performance analysis of the Trajectree approach, proving the utility of the trajectory saving scheme for simulations of open quantum systems. Using this architecture, we show that Trajectree can simulate standard benchmark noisy circuits over five times faster than Google's QSim, a part of the Cirq package. We also analyze Trajectree's performance for simulating quantum optical systems relevant to communication and computing applications. We demonstrate applications of the optical backend to simulate three optical experiments: CHSH Bell test, entanglement swapping, and optical CNOT gate. This shows Trajectree's potential for simulating noisy qudit and optical systems efficiently.
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BibTeX
@misc{singal2026trajectree,
title = {{Trajectree - A quantum trajectory-based quantum circuit simulator}},
author = {Ansh Singal and Allen Zang and Jordan Thomas and Alexander Kolar and Anirudh Ramesh and Joaquin Chung and Rajkumar Kettimuthu and Prem Kumar},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.24160},
eprint = {2610.24160},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.24160},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Trajectree - A quantum trajectory-based quantum circuit simulator
AU - Ansh Singal
AU - Allen Zang
AU - Jordan Thomas
AU - Alexander Kolar
AU - Anirudh Ramesh
AU - Joaquin Chung
AU - Rajkumar Kettimuthu
AU - Prem Kumar
PY - 2026
DA - 2026/10/16
PB - arXiv
DO - 10.48550/arxiv.2610.24160
UR - https://arxiv.org/abs/2610.24160
AB - We introduce Trajectree, a quantum trajectory-based quantum circuit simulator that uses a novel, state-saving partial execution of the quantum circuits to simulate broad and deep noisy quantum circuits efficiently. Trajectree can efficiently generate a large number of Monte Carlo samples by saving partially executed trajectories. We conduct extensive performance analysis of the Trajectree approach, proving the utility of the trajectory saving scheme for simulations of open quantum systems. Using this architecture, we show that Trajectree can simulate standard benchmark noisy circuits over five times faster than Google's QSim, a part of the Cirq package. We also analyze Trajectree's performance for simulating quantum optical systems relevant to communication and computing applications. We demonstrate applications of the optical backend to simulate three optical experiments: CHSH Bell test, entanglement swapping, and optical CNOT gate. This shows Trajectree's potential for simulating noisy qudit and optical systems efficiently.
ER -