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Fullqubit alchemist: Quantum algorithm for alchemical free energy calculations

5 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.

5 Pith papers citing it
1 external citations · Pith
abstract

Accurately computing the free energies of biological processes is a cornerstone of computer-aided drug design, but it is a daunting task. The need to sample vast conformational spaces and account for entropic contributions makes the estimation of binding free energies very expensive. While classical methods, such as thermodynamic integration and alchemical free energy calculations, have significantly contributed to reducing computational costs, they still face limitations in terms of efficiency and scalability. We tackle this through a quantum algorithm for the estimation of free energy differences by adapting the existing Liouvillian approach and introducing several key algorithmic improvements. We directly implement the Liouvillian operator and provide an efficient description of electronic forces acting on both nuclear and electronic particles on the quantum ground state potential energy surface. This leads to super-polynomial runtime scaling improvements in the precision of our Liouvillian simulation approach and quadratic improvements in the scaling with the number of particles relative to prior quantum algorithms. Second, our algorithm calculates free energy differences via a fully quantum implementation of thermodynamic integration and alchemy, thereby foregoing expensive entropy estimation subroutines used in prior works. Our results open new avenues towards the application of quantum computers in drug discovery.

fields

quant-ph 5

years

2026 5

verdicts

UNVERDICTED 5

representative citing papers

Nanostructure modelling with early fault tolerant quantum computers

quant-ph · 2026-06-04 · unverdicted · novelty 5.0

Quantum simulation framework for ground-state energies of 4- and 8-electron double quantum dots on surface-code fault-tolerant hardware, with resource estimates of 226k-314k physical qubits and 24 hours to 3.4 days runtime at 10^{-3} noise.

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