The advent of quantum computers required software solutions of a certain level to provide the basic basis for the quantum development environment for everyone. IBM, with its latest open source software development group, Qiskit, aims to create a programming environment where the complexity of the underlying technology is no longer an issue for users. In the future, the program will have to use massive quantum and classical resources, and thus the solution will have to be optimized at the speed of light. In an interview with EE Times, Blake Johnson, Head of Quantum Platform at IBM Quantum, noted that quantum technology is showing tremendous success and that the software foundation needs extensive use in the future. The Qiskit Project is an open source framework for working with quantum circuits and algorithms. This program interface allows developers to program quantum algorithms using Python scripts. Additionally, they can group requests for interactions between different quantum computers. “The power of quantum computing comes from quantum circuits,” Johnson said. “Quantum circuits can compute intractable or inaccessible quantities with classic computers, which are a kind of basic value display for quantum computing. A good circuit depends not only on its width or the number of bits but also on its depth.” The IBM Quantum Experience was intended to provide added value so that programming, initiated with OpenQASM, would provide a logical operation level (“gateway”) representation of the basic qubits, ensuring the development of quantum circuits. “Then, we gave researchers the possibility to understand noise on real devices and to design better gates by mitigating the error,” Johnson said. “We recently released the Qiskit Optimization Module, and started our journey towards a frictionless quantum experiment.” In terms of software development, he added, “In terms of software development, kernel building tools and algorithm developers are part of the process of making high-quality systems, which includes building better gates or better circuits.” It allows us to extend the power of systems. The goal is not just to make a nice device but to do something useful for people to do certain operations. Many software developers today are very productive and do a lot of useful work without thinking about the physics of the transistor or thinking about the little or assembly code that underlies some of the abstractions they interact with as programmers. And when quantum computing has a real impact, there will be the same kind of objection that allows for productivity on these systems. ”Quantum technology took more than 50 years to improve classic computing software to the point where users could create an app or website with a few lines of code. Quantum computing should go through a similar process in the next two or three years. Conventional computing works with 0 and 1; quantum computing contains qubits that can represent 1 or 0 or both at the same time. This overlap could allow two of these qubits to behave in ways It cannot be explained by individual components. This behavior is called entanglement. The ability to manage the operation and networking 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. These recent developments show that we are making systems. Quantity is readily available which can offer great advantages in solving problems. As with classical processors, it consists of wires that carry the information (state) of the bits and logic gates that The state of the bits changes, the quantum system you want to use as a computer also consists of wires, which can indicate the transition of the qubits from one gate to another, or the passage of time, and gates. Logic gates can contain either single qubits or multiple systems. The problem is that the stability of the quantum system is difficult to maintain, as the smallest external perturbation tends to interfere with the operation of the instrument and thus damage it. Several researchers have developed protocols to reduce this error and control multiple qubit systems. IBM aims to build a robust quantum computing ecosystem that also includes open source software tools, applications for short-term systems, and educational materials for the quantum community. Qiskit Module to increase the ecosystem for quantum researchers and application development, IBM launched Project Qiskit, which is an open-source software development suite for programming and using quantum computers. The software suite continues to grow in functionality and today allows users to create and run quantum computing software on one of IBM’s real-world processors or quantum simulators available online. The Qiskit Optimization Module allows simple and effective modeling of optimization problems using IBM Decision Optimization CPLEX modeling or DOcplex. Programmers simply need to program as they usually do. Today’s software developers do not need to worry about electronic components such as logic ports and MOSFETs; Likewise, the new module sums up a level of programming by optimizing its resources with a standard library of quantum circuits. Qiskit provides a suite of software coding tools at the quantum circuit level, providing implementation and management on back end for remote access. The unit has been developed to advance the research, development, and calibration of quantum computer algorithms in the short term – an interface for solving various types of problems with the help of the basic quantum algorithms provided by Qiskit. How Qiskit works (Source: IBM) IBM makes the functions very simple even for those who are not experts in quantum theory or quantum mechanics, which are the basis of the quantum computer. Qiskit lends itself to expanding the quantitative development community, and companies will be able to use resources to meet their business needs. The web platform offers tutorials that explain how developers can model their optimization problems. IBM brings a hands-on approach through a human user interface to the experimental cloud-enabled platform. The interface allows users to work with quantum bits, run algorithms for their own research and explore tutorials and simulations about quantum technology. The next challenges, Johnson notes, are primarily related to developing new application modules to reach different areas. “This work will allow us to accelerate the methods for solving the algorithms used in many different application spaces, but it will also be a kind of catalyst for other paradigms,” he said. “Another next innovation is the architectural improvement of our software system to be able to better support classic quantum workloads, allowing our system to accept a program and not just an electrical circuit,” he added. “As well as the way in which the program can use a quantitative resource interactively and effectively.” In the coming years, quantum computers of 100 qubits or more will be able to perform tasks beyond the capabilities of today’s classic supercomputers, but noise in quantum architectures will limit performance. The first challenge is to maintain qubit quality. The task of the researchers will also be to propose new solutions, in terms of hardware and software, to make programming “easy”. .