Candidates will have to prove during the test that they can create and execute quantum computing programs using IBM's Qiskit. Developers can now be officially quantum-certified. IBM has unveiled a quantum developer certification which it says, once devs have passed the 60-question test, will act as proof of at least some of the skills required to build and run quantum programs. The certification, unsurprisingly, focuses on IBM's own quantum computing software development kit (SDK), Qiskit, which is an open-source platform based on Python scripts that enables developers to carry out a range of quantum experiments, from prototyping quantum algorithms to executing code on cloud-based quantum devices. Candidates to the new certification will have to prove during the test that they can create and execute quantum computing programs on IBM computers and simulators using Qiskit.
Working with real quantum computers just got easier for experts in chemistry, artificial intelligence, and optimization. Building on QISKit, our open source quantum information science kit for software development, we've released ACQUA -- Algorithms and Circuits for Quantum Applications. This new open source software allows classical computer applications to send complex operations to be run on quantum computers, over the cloud. Let me start by explaining the quantum software stack, and where QISKit and ACQUA fit. At the lowest level is the hardware where the qubits sit at the very cold temperature of 15 mK.
To the untrained eye, a circuit built with IBM's online Quantum Experience tool looks like something out of an introductory computer-science course. Logic gates, the building blocks of computation, are arrayed on a digital canvas, transforming inputs into outputs. But this is a quantum circuit, and the gates modify not the usual binary 1 or 0 bits, but qubits, the fundamental unit of quantum computing. Unlike binary bits, qubits can exist as a'superposition' of both 1 and 0, resolving one way or the other only when measured. Quantum computing also exploits properties such as entanglement, in which changing the state of one qubit also changes the state of another, even at a distance. Those properties empower quantum computers to solve certain classes of problem more quickly than classical computers.
Forty years after it first began to dabble in quantum computing, IBM is ready to expand the technology out of the lab and into more practical applications -- like supercomputing! The company has already hit a number of development milestones since it released its previous quantum roadmap in 2020, including the 127-qubit Eagle processor that uses quantum circuits and the Qiskit Runtime API. IBM announced on Wednesday that it plans to further scale its quantum ambitions and has revised the 2020 roadmap with an even loftier goal of operating a 4,000-qubit system by 2025. Before it sets about building the biggest quantum computer to date, IBM plans release its 433-qubit Osprey chip later this year and migrate the Qiskit Runtime to the cloud in 2023, "bringing a serverless approach into the core quantum software stack," per Wednesday's release. Those products will be followed later that year by Condor, a quantum chip IBM is billing as "the world's first universal quantum processor with over 1,000 qubits."
Qiskit Metal is an open-source platform that automates parts of the design process for quantum chips. Building the hardware that underpins quantum computers might not sound like everybody's cup of tea, but IBM is determined to make the idea sound less challenging. The company has announced the general availability of Qiskit Metal, an open-source platform that automates parts of the design process for quantum chips, and which IBM promised will now let "anyone" design quantum hardware. Big Blue detailed the progress made with Metal since the tool was first announced late last year as part of the company's larger Qiskit portfolio, which provides open-source tools for creating programs that can run on IBM's cloud-based quantum devices. While most of Qiskit's resources focus on building applications that can be executed on quantum machines, Metal targets a brand-new audience, providing software to help design the components that make up the hardware itself.