Quantum computing in chemistry, material science and biotechnology

We would especially like to encourage manuscripts that expand the current area of applicability of quantum computers and introduce innovative ways to discover, characterize and produce new molecules. We will consider near-term and fault-tolerant algorithms as well as improvements over current algorithms and entirely new workflows.

We encourage submissions on topics including, but by no means limited to:

• Synergies between classical and quantum computers that leverage the strengths of both
• Use of machine learning and data to bring down the cost of quantum computation
• Tailored algorithms for specific subsets of chemical systems or types of interaction
• Prediction of chemical properties with data that can efficiently be extracted from a quantum computer

If you would like to contribute to this collection, please let us know by email and we will set up a submission link for you to contribute your article.

The collection is scheduled for promotion in late 2025, with articles published online as soon as they’re accepted. Authors are welcome to submit original research in the form of a Communication or Full Paper. Authors who would like to contribute a Review article should contact the Editorial office with their proposal. The Editorial Office reserves the right to check the suitability of submissions for both the journal and the scope of the collection, and inclusion of accepted articles in the final themed collection is not guaranteed.