The new computers are morphing neural network systems that mimic quantum computers.
"By linking smaller superconducting modules like building blocks, researchers at the University of Illinois Urbana-Champaign achieved near-perfect qubit performance. Their modular approach could open the door to scalable, flexible quantum computers of the future. Credit: Shutterstock" (ScitechDaily, Scientists Build Quantum Computer That Snaps Together Like LEGOs)
The fact is this. The regular binary computers can also operate like LEGOs. When a problem becomes too complicated for one computer. That computer can call more calculation units or computers. To operate on the problem. The system can call for assistance over the internet. That means when the computer doesn’t get an acceptable answer, it calls more computers to work with that thing.
The new innovations in quantum computing represent a significant step toward a more efficient and effective way to calculate things. The reason why quantum computers cannot be stuck is this. They are like a tower of binary computers. Every layer or state in a qubit operates as an individual quantum computer, and if one of those states is stuck.
Another state or layer comes and releases that state. When we think about the power of quantum computers. We must remember that they can drive multiple programs. At the same time. Or they can cut and share complicated problems over those layers, and the AI-controlled quantum computer operational systems can act like LEGOs.
Those systems can operate and run multiple different programs at the same time, but if that system sees something very complicated. That system will collect more and more quantum states and quantum units together to solve those problems. If the quantum system does not find an acceptable answer. That system connects more and more quantum units and quantum states to operate with complicated questions.
So, in the case when the system doesn’t need very much power. That can allow all its units to work separately. With different problems. But when the system requires more power. The central system orders those systems to save their duties. And then start to work as a whole on that complicated problem. Things like drone swarms can use similar technology. That system can call all units to work on things. Like routes that those drones can choose. And then the system breaks entirely and shares those solutions to individual drones.
The second big advance will be a room-temperature quantum computer.
"Figure: (upper panels) Scanning-electron-microscope image showing a charge-density-wave device channel in the coupled oscillator circuit. Pseudo-coloring is used for clarity. Circuit schematic of the coupled oscillator circuit. (lower panels) Illustration of solving the max-cut optimization problem, showing the 6 × 6 connected graph, circuit representation of the six coupled oscillators using the weights described in the connectivity matrix, and values of the phase-sensitivity function. Credit: Alexander Balandin" (ScitechDaily, UCLA Engineers Build Room-Temperature Quantum-Inspired Computer)
The UCLA engineers built a quantum-inspired computer. The system will use a morphing neural network technology that mimics the quantum computer. That can change the world. The room-temperature quantum computers are tools that will revolutionize computing. When we think about things like quantum dots in virtual quantum systems, those quantum dots are the binary computers that operate like states operate in quantum computers. That makes those computers very powerful tools. Because those systems are immune to errors and stucks.
"Scientists have built a physics-inspired computing system that uses oscillators, rather than digital processing, to solve complex optimization problems. Their prototype runs at room temperature and promises faster, low-power performance. Credit: Shutterstock" (ScitechDaily, UCLA Engineers Build Room-Temperature Quantum-Inspired Computer)
If some of those computers are stuck, some other computer releases that system. Because that system is morphing. That means all its participants can operate independently with different problems. But when a problem reaches a certain state of complexity. The system sends a message that all computers must unite their force to work on that problem.
If a researcher makes a quantum computer that operates at room temperature, that system can be superior to the regular binary systems. There are so-called virtual quantum computers that operate in data centers. In those special neural computing systems. Each physical binary computer works as an individual quantum state in a quantum computer. The system operates entirely. It tries to mimic a real quantum computer.
The system can operate like a quantum computer, but the qubit states are replaced. By using a physical binary computer. Those systems act like a quantum computer. That system’s Achilles heel is that it needs. A lot of power. If we want to make a virtual quantum computer. That qubit has 129 states, which requires a system with 129 binary computers. And that causes very big electric bills. Those systems release heat. This means those systems require powerful coolers and other things that protect those machines.
https://scitechdaily.com/scientists-build-quantum-computer-that-snaps-together-like-legos/
https://scitechdaily.com/ucla-engineers-build-room-temperature-quantum-inspired-computer/
