IBM’s development roadmap on quantum computers


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Quantum computing has finally reached its momentum. IBM has identified a quantum computing development roadmap that will be its starting point with the release of the open-source Qiskit Runtime in 2021. In an interview with EE Times Europe, Dr. Bob Sautor, IBM’s vice president of quantum ecosystem development, pointed out clearly that no Someone is currently using quantum computers in production, and the challenge will be to make this new environment more accessible, to allow companies and developers to experiment with releasing applications. In addition to the software aspects, the more efficient hardware with a higher number of qubits will pave the way for commercial applications. In any case, in the near future, quantum computers will not replace the classic computers, but rather will work together. In September 2020, IBM highlighted how they took the bold step of issuing a hardware roadmap that outlines a clear path for more than 1,000 qubits and specific challenges along the way. This time around, there will be an open source community and the ability to mobilize developers around the world, plus Deploying cloud native to break critical challenges and democratize access to this new technology as quickly as possible. Open source software developers and IBM will work on improving the stack foundation. Meanwhile, other core developers are deploying high-performance quantum circuits with increasingly sophisticated performance mechanisms, paving the way for developing models for chemistry, physics, biology, machine learning, optimization, or even finance. “Our new development roadmap provides new opportunities for collaboration. We are increasing the diversity of circuits and the ability of our systems to run more circuits faster. The roadmap points to beyond 2023, when we will exceed 1,000 qubits. Then we can seriously tackle things like debugging, And take a look at the Quantum Advantage feature, which is the point where quantum systems combined with classical systems can perform much better than classical systems alone. “The ability to manage the operation and control of different quantum systems was only possible a few years ago. Today, we can increase the number of qubits, thanks to extraordinary efforts in science and engineering. “IBM said that the implementation of the roadmap will proceed in steps. It will include the implementation of high-performance quantum programs and devices. Development of new quantum algorithms will build on the basis of innovative quantum circuits, and thus the development of programs or applications. On top of the algorithms will be the complex programs and models used in various industrial fields. . Quantum computing equipment It will take another few years for us to see commercial applications in production. Meanwhile, several leading companies are developing ambitious quantum computing programs. A number of startups are investing in quantum computing especially in quantum error correction and coding. In 2001 , IBM developed the first 7-kilobits quantum processor. In 2016, IBM released the first quantum system available openly on the cloud. IBM now has nearly 20 computers in the cloud available to users for free. IBM plans to reach 127. Qubit of quantum computers by the end of 2021, 433 qubits by the end of next year, and more than 1,000 qubits by 2023. The company’s newly released processor, IBM Quantum Hummingbird, is 65 qubits. For next year, it will be the IBM Quantum Eagle, at 127 qubits, while in 2023 it is expected to launch the IBM Quantum Condor processor, a processor of 1121 qubits. They expect that applications of quantum computing will eventually move in the field of neural networks to the realization of economic models, from studying custom drugs to simulating complex chemical reactions to many other possibilities such as improving mathematical problems and some parts of artificial intelligence. . The IBM Quantum Eagle chip will feature several upgrades to reduce qubit errors, and it will continue to lay the groundwork for expanding the number of qubits that work together as logical qubits. IBM has indicated that with the Eagle processor, classical real-time computing capabilities will be introduced to implement a larger set of quantum circuits and codes. Qubits in quantum computers, bits, that is, the basic unit of information in classic computers, are replaced by so-called “qubits”, which are quantum bits, which are able to deal with very complex problems thanks to a greater ability to encode information. Issues that are quite hard to access for normal computers. Like classic computers that incorporate logic gates and circuits, a quantum computer uses quantum circuits that form elementary quantum logic gates. Quantum computers use three concepts. The first is “quantum superposition”, the idea at the base of the famously dead and living Schrödinger cat. Unlike classic bits, they can have only two states – one or zero – qubits can be a mixture of the two. The second is “entanglement”. It binds quantum particles together across time and space. And the third is nesting, in which we can design algorithms so that “right answers” appear more than wrong. Open source quantum computing IBM has determined that quantum computers will be particularly useful in certain areas: life sciences, chemistry, and artificial intelligence. In these areas, open source Qiskit will be able to speed up some computational tasks. This year, IBM will release Qiskit Runtime – an implementation environment that increases capacity for circuits faster. This increases the ability of a quantum computer to do more work. To get the most out of Qiskit’s capabilities, IBM is expanding the pool of developers involved in the project. “We have trained thousands of people to use Qiskit, and the software has been downloaded by the developers more than half a million times,” Sutor said. “With this roadmap, we’re talking about how to improve our systems in three different ways. The first is quality. How well will the circuits do what they are supposed to do well? This is the discussion of quantum size. It includes things like error mitigation and noise reduction. The second thing. Is power. How fast is your equipment? We aim to run the circuits 100 times faster by the end of the year. The increased capacity gives me more time to run more circuits. The third type is versatility, meaning getting quantum benefits with some of the more interesting features in classic coding. ” . Qiskit provides a suite of software coding tools at the quantum circuit level, providing implementation and management on back end for remote access. IBM makes the functions very simple even for those who are not experts in quantum theory or quantum mechanics, which are the basis of a quantum computer. The goal is to introduce a variety of circuits, allowing users to tackle problems that cannot be solved with classic computers. Software tools such as OpenQASM 3 will soon provide quantum core developers the ability to run dynamic circuits – those that incorporate both classic and quantitative instructions that must be executed in a time of qubits coherence – by 2022. Sutor indicated that in 2023 there will be new advanced control systems to handle quantities Large qubits to provide the full benefit of quantum computing. .


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