Quantum computing on a chip: ready for the revolution

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At the moment of victory, people were hailed as the equivalent of shifting from room-scale silicon technology to desktop-sized machines. Quantum computing has now reached the chip level -From room-scale installations you might see elsewhere, including science fiction.
The development is led by a collaboration between Cambridge quantum expert Riverlane and Digital Quantum Corporation in New York and London InquireThey are the first to deploy quantum computing chips with integrated operating systems for workflow and qubit management (qubits are comparable to transistors in classical computing, but can be paired with each other, share information instantly through quantum states, and can also Represents 0 and 1). The last time we achieved this level of miniaturization in computing technology, we started the computing revolution. Now that the expectations of the quantum revolution are also on the table, the world will have to adapt to the new reality.
The new chip introduces scalable quantum computing, and the two companies hope to expand the design by increasing the surface area and the number of qubits. The goal is to reach millions of qubits, a far cry from the largest (relatively trivial but still very complex) 76-qubit system currently deployed, which enables China to claim quantum supremacy. Of course, in addition to increasing the number of qubits, there are other ways to expand. Deploying multiple chips in a single independent system or through multiple interconnected systems can provide a simpler way to achieve quantum coherence. To this end, quantum operating systems are essential. Enter Deltaflow.OS.
Deltaflow.OS is a hardware and platform-independent operating system (think Linux, it fills everything from smartphones to the Internet of Things to supercomputers), which means that it can be used as a variety of things currently being pursued worldwide Control mechanism of quantum deployment technology. Even when multiple independent companies (such as Google, Microsoft, and IBM, etc.) are pursuing the holy grail of quantum supremacy, Riverlane’s Deltaflow.OS is an open source, Github-available operating system, and it is adopting an open approach to market penetration.
This makes sense, because more than 50 quantum computers that have been built all over the world run on independently developed software. It is still a nascent field, so much so that there are no standards for deployment and control systems. An operating system that is easy to deploy and has nothing to do with quantum hardware will undoubtedly accelerate the development of applications that take advantage of quantum computing. In China’s 76-qubit system, some workloads have been processed faster than the fastest classic Turing. Multi-million-fold supercomputers are possible.
To achieve this goal, Riverlane effectively created a hierarchical digital quantum management (DQM) SoC (system on a chip) that combines classical computing power with quantum mechanics. The company’s chart shows what it calls the SFQ (Single-Flux Quantum) coprocessor as the foundation layer of the design, which allows the operating system to show developers a relatively familiar interface to interact with qubits. This provides the ability to “perform digital qubit control, readout and classical data processing functions, as well as as an error correction platform.”
This approach has many advantages, because SFQ’s resources “(…) are closely co-located and integrated with the qubit chip in a cryogenic cooling environment to significantly reduce the complexity of input/output connections and maximize fast, The benefits of precise, low-noise digital control and readout, and energy-saving classical co-processing.” In essence, some principles of classical calculations still apply, because the closer the processing parts, the higher their performance. This enables the operating system to run and layer it next to the active qubit table that actually performs the calculations.
For a long time, quantum computing has been the holy grail of new processing technology development. However, the complexity of this effort cannot be underestimated. The physics of quantum computing is essentially written as we develop, and although to some extent this is true for many technological and innovative work, it does not happen anywhere like this.
There are a number of issues related to quantum computing and its relationship with classical computing. Thanks to the efforts of Riverlane and Seeqc, the quantum computing ecosystem can now “go hand in hand” to jointly solve the deployment and operation of quantum computing chip solutions.
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