Potential Applications

With Quantum Computers searching through huge data will become easier. With normal computers it might take a million steps whereas with quantum computing it’ll only take a 1000 steps and also takes less time.

Quantum computers will be able to read Encrypted messages communicated over the internet using the current technologies. Viewing Encrypted messages in Quantum Computing is easier and faster.

Scientists can easily conduct experiments virtually. For example, we could model the behavior of atoms and particles at unusual conditions (for instance, very high energies that can be only created in the Large Hadron Collider) without actually creating those unusual conditions.

Quantum computers will be able to secure the public key cryptographic systems. Quantum cryptography could potentially fulfill some of the functions of public key cryptography. Quantum-based cryptographic systems could, therefore, be more secure than traditional systems against quantum hacking.

Machine learning, quantum computers can produce outputs that classical computers cannot produce efficiently, and since quantum computation is fundamentally linear algebraic, some express hope in developing quantum algorithms that can speed up machine learning tasks.

Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, ecological, behavioral, and social systems.

Generative chemistry can generate molecular graphs, or fingerprints, depending on the selection of the molecular representation, using the latent random inputs. The generated molecules are mixed with the samples of real compounds to feed the discriminator after correct labeling.