Most physicists and experts in quantum computing tend towards a multiverse explanation of reality. Other challenges include creating good algorithms/circuits/programs and reducing noise/errors in quantum systems. The main negative implication of Moore`s Law is that obsolescence pushes society to the limits of growth. As technologies continue to “improve” rapidly, they make existing technologies obsolete. In situations where the security and survivability of hardware or data is paramount, or where resources are limited, rapid obsolescence often presents barriers to proper or continued operation.  The speed of light is finite, constant, and provides a natural limitation on the number of calculations a single transistor can handle. After all, information cannot be transmitted faster than the speed of light. Currently, the bits of electrons moving through transistors are modeled, so the speed of calculation is limited by the speed of an electron moving through matter. Wires and transistors are characterized by capacitance C (ability to store electrons) and resistance R (how resistant they are to current flow). With miniaturization, R increases while C decreases, and it becomes more difficult to perform correct calculations. At the limit of the quantum algorithm, we have a secret weapon! These machines expand the universe of what is possible in computation.
For some specialized tasks, quantum computers are already 100 trillion times faster than conventional supercomputers. The best quantum computer in 2050 could never compete with a cheap graphics card today. With GPUs, compute inputs are known and are computed in parallel for millions of pixels. Therefore, to follow Moore`s Law, quantum machines only need to grow by 1 qubit every 2 years. Later, I will discuss some of the limitations and technical challenges of modern quantum computers. The physical limits of transistor scaling were reached due to leakage from the source to the drain, limited gate metals, and limited options for duct material. Other approaches are being studied and are not based on physical scaling. These include the spin state of electron spintronics, tunnel contacts, and advanced confinement of channel materials via nanowire geometry.  Spin-based logic and storage options are being actively developed in laboratories.   Maybe I`m wrong, but I doubt that quantum computers will ever be an ordinary PC. They will be faster and cheaper.
But I think of them more as servers or DNA sequencers. Their use will focus in part on the needs of businesses. Most experts agree, saying that the physical limits of transistor technology should be reached in the 2020s. The circuit qubit exists in an infinite number of almost identical worlds. The quantum computer allows the operator to traverse dimensions and manipulate qubits in infinite worlds before observing the output. In addition, integrated circuits are limited by atomic scale and electronic tunnel problems. To understand what makes quantum technologies so powerful, we need to start with the basic units of information. One alternative that continues to gain momentum is quantum computing. Quantum computers are based on qubits (quantum bits) and use quantum effects such as superposition and entanglement to their advantage, overcoming the miniaturization problems of classical computing.
It is still too early to predict when they will be widely used, but there are already interesting examples of their use in businesses. The most pressing problem for quantum computers is the scaling of quantum computers from tens of qubits to thousands and millions of qubits. One proposed material is indium gallium arsenide or InGaAs. Compared to their silicon and germanium counterparts, InGaAs transistors hold more promise for future high-speed, low-power logic applications. Due to the intrinsic properties of III-V compound semiconductors, InGaAs-based quantum well and tunneling transistors have been proposed as alternatives to more traditional MOSFET designs. Four years ago, I had the chance to spend time on IBM`s quantum computer. I have designed quantum circuits and have seen with my own eyes how errors occur and assemble in the fragile ultracryogenic environment. According to experts, Moore`s Law is expected to end in the 2020s. This means that computers are reaching their limits because transistors in smaller circuits can no longer operate at ever higher temperatures. Indeed, the cooling of transistors requires more energy than the energy circulating in the transistor itself.
However, for a quantum computer, there is a linear relationship between the atoms in a molecule and the qubits needed for modeling. However, with current advances in quantum computing, the Goliath machine would be available in 2040. As it is a quantum machine, it would occupy only about 1 cubic meter. Where do the special properties of quantum machines come from? To move beyond Moore`s Law, we need to push the boundaries of classical computing on electronics and silicon and enter the era of non-silicon computers. The good news is that there are many options, from quantum computers and miracle materials like graphene to optical computing and specialized chips. Whichever way you go, the future of IT is definitely exciting! Rest in peace, Moore`s Law. There are ways to make a quantum circuit more robust without improving that 1% error value. We will imagine this absolute limit of computers without practical limitations.
While quantum computers will never become gaming platforms, their influence won`t be limited to encryption or abstract math either. There are serious needs in the real world. While home quantum computers are still a long way off, Intel announced in April 2020 that they had successfully built a quantum computer that could cost as little as a few thousand dollars, far less than older models that cost millions. In April 2005, Gordon Moore said in an interview that the screening cannot be maintained indefinitely: “It cannot last forever. The nature of exponentials is that you move them and eventually disaster occurs. He also noted that transistors would eventually reach the limits of miniaturization at the atomic level: In terms of size [of transistors], you can see that we`re approaching the size of atoms, which is a fundamental barrier, but it will take two or three generations to go that far — but it`s so far. as we have never seen before. We still have 10 to 20 years before we reach a fundamental limit. By then, they will be able to make bigger chips and have billions of dollars in transistor budgets.  To fully exploit the potential of quanta, three challenges are needed: Small quantum computers (less than 30 qubits) can be simulated by classical computers.
This allows researchers to test circuits and conduct research on a simple personal computer. At this stage of quantum computer development, almost all technological advances rely on improving error rates. It is only at the Log(Log) scale that quantum computation is linearized. One implication is that to double the power of a quantum computer, you only need to add 1 qubit. If we continue to miniaturize chips, we will undoubtedly encounter Heisenberg`s uncertainty principle, which limits precision to the quantum level and therefore limits our computational capabilities. James R. Powell calculated that Moore`s Law will be obsolete by 2036 due to the uncertainty principle alone. The quantum counterpart of the bit is called a qubit (pronounced “Q – bit”). In 1965, George Moore postulated that the number of transistors on microchips would double about every two years.