Qubits can represent numerous possible combinations of 1 and 0 at the same time. This ability to simultaneously be in multiple states is called superposition. To put qubits into superposition, researchers manipulate them using precision lasers or microwave beams. Thanks to this counterintuitive phenomenon, a quantum computer with several qubits in superposition can crunch through a vast number of potential outcomes simultaneously. The final result of a calculation emerges only once the qubits are measured, which immediately causes their quantum state to “collapse” to either 1 or 0.

Researchers can generate pairs of qubits that are “entangled,” which means the two members of a pair exist in a single quantum state. Changing the state of one of the qubits will instantaneously change the state of the other one in a predictable way. This happens even if they are separated by very long distances.

Nobody really knows quite how or why entanglement works. It even baffled Einstein, who famously described it as “spooky action at a distance”. But it’s key to the power of quantum computers. In a conventional computer, doubling the number of bits doubles its processing power. But thanks to entanglement, adding extra qubits to a quantum machine produces an exponential increase in its number-crunching ability. Quantum computers harness entangled qubits in a kind of quantum daisy chain to work their magic. The machines’ ability to speed up calculations using specially designed quantum algorithms is why there’s so much buzz about their potential.

Phenomena such as quantum tunnelling and quantum coherence are now widely accepted as being involved in vitally important processes for all living cells.

What remains indisputable is that the quantum dynamics that are undoubtedly taking place within living systems have been subject to 3.5 billion years of optimising evolution. It is likely that, in that time, life has learned to manipulate quantum systems to its advantage in ways that we do not yet fully understand.

The ERI Analytical cloud system (AI) combines methods of emission spectroscopy, artificial intelligence and quantum mechanics.

Dr. I. Orzhelskyi, the inventor of ERI, describes the mechanism of quantum informatics in living systems in his book Theoretical foundation of physical and mathematical medicine:

“Take note that the brain is also in accordance with the principle of ‘non-locality’. Detecting the effect of non-local interactions of biological quantum systems is a prerequisite for maintaining a high degree of coherence (synchronisation) between the particles of the systems – atoms, molecules, cells, etc. Such unified cooperation can be achieved between the same type of cells and molecules, called enantiomers (cells created in one organ). This synchronisation serves as a medium for keeping the information“[3].

Figuratively, we can imagine these cells as a group of dancers, who are synchronously dancing the same dance. We can get information about the dance only when the dancers are in synchronicity. If each dancer is dancing differently, this group formation will not provide any information about the dance.

Information is an inseparable part of living systems.

Each living system is made up of three levels that form the basis of all living organisms: MATTER, ENERGY and INFORMATION. Matter is represented by particles having a double character as a particle and wave. Energy is manifested as waves depending on gravity. Information on a given system is kept in the synchronised oscillation (coherence) of the given cell cluster.

The ERI (AI) software knows exactly how a particular organ/system should look when it is healthy and how it is in reality (see ERI General Principles below). If an organ is not broadcasting the right signal, the ERI software generates a correcting signal (emitted by a sensor/antenna) which interferes with the location of the pathology. As was mentioned, pathology is represented by a disruption of the synchronous connection (non-locality) and thus the system is losing information about healthy functionality from the system.