Lachlan Lindoy is a Senior Scientist in the Quantum Software and Modelling team within the Quantum Technologies department who leads research on open system modelling for foundational understanding of noise in quantum devices. In addition, he develops algorithms and software to support the development and benchmarking of quantum hardware and software.
A key focus of his work is the development of algorithms for simulating strongly correlated matter, whether models of quantum devices or more general strongly correlated systems arising in chemistry and physics, with the aim of understanding potential avenues for practical quantum advantage.
Scalable classical algorithms (e.g. tensor network methods) for simulating dynamics of quantum systems
Classical and quantum algorithms for the simulation of condensed matter, with an aim towards understanding avenues for quantum advantage
Development of theoretical methods for open quantum system dynamics with applications to understanding noise in quantum devices
Biography
Prior to joining NPL in January 2023, Lachlan spent three years (2020-2023) as a Postdoctoral Research Scientist at Columbia University, working with Prof. David Reichman (2020–2023) on the development of open quantum systems and tensor network methods for condensed phase quantum dynamics, and in particular, modelling strong light-matter interactions involving molecular systems.
Prior to this, Lachlan received his D.Phil in Physical and Theoretical Chemistry from the University of Oxford, where he worked with Prof. David Manopolous (2015-2019) focusing on the development of accurate methods for simulating quantum spin dynamics of radical pair models, and modelling condensed phase electron transfer dynamics.
L. P. Lindoy, D. Rodrigo Albert, et al., pyTTN: An Open-Source Toolbox for Open and Closed System Quantum Dynamics Simulations Using Tree Tensor Networks. arXiv:2503.15460 (2025)
C. Umeano, F. Jamet, L. P. Lindoy, et al. Quantum subspace expansion approach for simulating dynamical response functions of Kitaev spin liquids. Physical Review Materials 9 034401 (2025) [arXiv]
F. Jamet*, L. P. Lindoy*, et al. Anderson impurity solver integrating tensor network methods with quantum computing. APL Quantum 2 016121 (2025) [arXiv]
H. Nguyen, N. Ng, L. P. Lindoy, et al. Correlation functions from tensor network influence functionals: The case of the spin-boson model. Journal of Chemical Physics 161, 104111 (2024) [arXiv]
L. P. Lindoy, A. Mandal, et al., Investigating the collective nature of cavity-modified chemical kinetics under vibrational strong coupling. Nanophotonic 13, 2617 (2023) [arXiv]
A. Agarwal, L. P. Lindoy, et al., Modelling non-Markovian noise in driven superconducting qubits. Quantum Science and Technology 9, 035017 (2024) [arXiv]
See Google Scholar for a full list of Lachlan’s publications.