Imagine performing an MRI on a single cell rather than the entire body: taking a photograph of the molecule or just a group of molecules within the cell, identifying and examining problem areas within the DNA, and getting a diagnosis and a patient. more accurate. therapy. Today, this is possible thanks to the precision of quantum computing and nanotechnology built into MRI equipment.
In a recent press release, IBM stated that they are very close to making a breakthrough in quantum computing. As a result of some experimental successes, they are closer to building the first quantum computer, which can take advantage of the oddities of quantum physics and could solve certain problems in seconds, which would otherwise take billions of years to solve today’s computers.
Quantum computing is a computer system based on qubits instead of bits; where qubits (Quantum Bits) are basic units of information in a quantum computer. While a bit can represent only one of two possibilities, such as 0 or 1, or yes or no, Qubits can represent many more options: 0 or 1, 1 and 0, the occurrence of multiple combinations of Qubits, and that too simultaneously. So, Qubit represents a series of possibilities and all of them can be calculated simultaneously taking into account the probabilities.
The Qubit concept deals with very small particles (subatomic particles). It has been shown that a subatomic particle can have different states simultaneously because the particles are never static. This is evident because they move very fast, close to the speed of light. So a particle state of the particle (Qubit) looks different to different observers and the particle has several states simultaneously. That is why a subatomic particle can have different states and probabilities at the same time. We can use it to replace bits and get better performance – much better performance! And then when you combine Qubits, that combination contains an exponentially greater amount of information than bits. Subatomic logic is much more powerful than the binary logic used in normal computing.
As a result, you can process complicated information faster. Its main applications are encryption, decryption, modeling, databases, speech recognition, structure recognition, simulation and artificial intelligence, among many other applications that still do not exist.
Imagine its use and effect in healthcare, specifically eHealth. The volumes of patient data available electronically, structured, modeled, simulated and processed in fractions of seconds: artificial intelligence for diagnosis and predictability of the condition with an accuracy of almost 100% will be multiplied by millions, exceeding limits unthinkable.
Quantum Computing has also shown that two entangled particles share their existence. It is then when one modifies his state, the other also modifies his own state simultaneously, no matter how far away they are in the universe. That means that we can “transport” information from one place to another without physical movement, simply by modifying the state of an entangled particle.
In e-Health, this could mean automatic, remote and reliable diagnosis, with electronic patient information, through immediate communication with entangled subatomic particles. And, with nanoscale precision applications, this is just the tip of the iceberg.
