Liverpool Quantum Computational Chemistry Group

Department of Chemistry; University of Liverpool

A snapshot of Liverpool's media wall with Radio City Tower in the background, as seen on the walk from Liverpool Lime Street towards the Department of Chemistry

We are a newly established quantum computational chemistry group at the University of Liverpool. We design and implement quantum computing algorithms for chemistry and quantum machine learning.

An overview of our research aims, methods and recent highlights can be found on the Research page, and a full list of our publications on the Publications page. You can meet the team on the People page, and if you are interested in working with us, see Join Us.

Research interests: Theoretical and Computational Chemistry · Quantum Machine Learning · Tensor Network Methods (DMRG) · Quantum Computing.

Why √2?

A note from Dilhan.

As a new DPhil student, I inherited a large Fortran code for time-dependent DMRG simulations. These were the pre-LLM days, and the world was in lockdown. Naturally, this meant long nights of coffee and code.

√2 is an important number in quantum mechanics; it appears everywhere. It turned out that the code I inherited had a bug where this number was not used consistently. After several hundred print statements, I finally traced it. It was one of the first times I felt the joy of solving a scientific problem myself, and that memory has stayed with me. As I build my own research group, it feels apt to remember why we do research in the first place.

For me, it is to find stray √2s.

news

Oct 30, 2026 The third cohort of University of Liverpool Fellowships has been announced: five five-year Vice-Chancellor’s Engineering Fellowships in the Faculty of Science and Engineering. Applications close on 30 November 2026.
Sep 28, 2026 Kaj, our first student, joins the group!
Sep 01, 2026 Dilhan joins the Department of Chemistry at the University of Liverpool as a tenure track fellow.

selected publications

  1. PCCP
    Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors
    Arseny Kovyrshin, Dilhan Manawadu, Edoardo Altamura, and 15 more authors
    Physical Chemistry Chemical Physics, 2026
  2. MLST
    Encoding molecular structures in quantum machine learning
    Choy Boy, Edoardo Altamura, Dilhan Manawadu, and 3 more authors
    Machine Learning: Science and Technology, 2025
  3. PRB
    Boosted imaginary time evolution of matrix product states
    Benjamin C. B. Symons, Dilhan Manawadu, David Galvin, and 1 more author
    Physical Review B, 2024