Highlights•Drug discovery is time consuming, expensive and experiences increasing
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …

Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subtyping …

Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …

Molecular biology and biochemistry interpret microscopic processes in the living world in
terms of molecular structures and their interactions, which are quantum mechanical by their …

Highlights•Quantum computing and its use for computer-aided product design is discussed
and perspectives for several types of problems are provided.•Hybrid QC methods are likely …

The recent biotechnological progress has allowed life scientists and physicians to access an
unprecedented, massive amount of data at all levels (molecular, supramolecular, cellular …

Novel medication development is a time-consuming and expensive multistage procedure.
Recent technology developments have lowered timeframes, complexity, and cost …

The efficient resolution of optimization problems is one of the key issues in today's industry.
This task relies mainly on classical algorithms that present scalability problems and …

Quantum Monte Carlo and quantum simulation are both important tools for understanding
quantum many-body systems. As a classical algorithm, quantum Monte Carlo suffers from …

After the first detection of a gravitational wave in 2015, the number of successes achieved by
this innovative way of looking through the Universe has not stopped growing. However, the …