Quantum computer

Quantum computers use quantum-mechanical phenomena such as superposition and entanglement to perform computation. These are able to solve certain computational problems, such as integer factorization (which underlies RSA encryption), substantially faster than classical computers. They are also able to perform parallel operations using two-state "0 and 1" qubits far more efficiently than computers with traditional "0 or 1" bit von Neumann architecture which are better at serial processing. Time crystals are used to stabilize qubits.

Applications suited to a high degree of parallelism:


 * Quantum entanglement and modelling for quantum teleportation systems.
 * Computational chemistry, for example a new drug R&D program is trial and error, iterative, time-consuming and expensive.
 * Particle physics workflows such as needed for colliders; quantum chromodynamics and quantum physics.


 * Molecular modeling such as in chemical reactions that are quantum in nature, forming entangled quantum superposition states.


 * Global weather prediction and modelling. 30 percent of world GDP is directly or indirectly affected by weather, impacting food production, transportation and trade. Another benefit is giving ourselves time to take cover from disasters.
 * Artificial Intelligence and Machine Learning, based on calculating the probabilities for many possible choices.
 * Cybersecurity and cryptography. New quantum-resistant cryptography methods would be needed that would resist quantum computers able to crack the old prime factorization methods.


 * Financial Modelling and stock markets. Randomness inherent to quantum computers is congruent to the stochastic nature of financial markets. Investors often wish to evaluate the distribution of outcomes under an extremely large number of scenarios.
 * Combinatorics and set theory
 * Chaos Theory