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" ... By creating a track where the outside magnetic rails point in one direction and the inside magnetic... [+] rails point in the other, a Type II superconducting object will levitate, remained pinned above-or-below the track, and will move along it. This could, in principle, be scaled up to allow resistance-free motion on large scales if room-temperature superconductors are achieved. ... "
" ... IBM has a massive fleet of 22 superconducting quantum computers. In 2016, IBM was the first company to put a quantum computer online. In addition to offering a premium service, most of IBM's quantum systems are publicly available, along with complete tutorials and a large library of useful algorithms. According to IBM, billions of quantum circuits are run each month on its network. ... "
" ... Martinis has spent most of his research career investigating superconducting hardware. However, he welcomed the opportunity to work with Simmons and the SQC team. He said it gave him a fresh set of challenges and a hands-on chance to help advance quantum computing using SQC's relatively new technology: silicon spin qubits. ... "
" ... “Everybody talks about the quantum stack and how to orchestrate the software stack for different application domains. At the base layer you have quantum hardware providing qubits and circuits with a handful of hardware technologies, starting with superconducting qubits by IBM, Google and others; trapped ions with Honeywell and IonQ; Majorana qubits for topological QC by Microsoft; silicon spin qubits by Intel and others; silicon quantum photonics by Xanadu and PsiQuantum; and other related technologies in many research labs. The fidelity, coherence, and error-correction of this base layer is getting better and better. The quantum volume, defined by IBM, captures several hardware and software qualities in this one metric. Above this base, we have quantum programs or circuits that execute on these hardware platforms. These circuits are developed using quantum programming languages and quantum development kits (QDKs). The most prominent ones are Qiskit by IBM and Google Cirq based on Python; and QDK with Q# by Microsoft based on the C# language. Now the next step—all companies are deeply involved in this one—is to develop libraries, such as IBM’s Aqua and Q# libraries and provide workflows for different application domains. Examples are D-Wave’s Ocean development tool kit for hybrid quantum-classical applications and to translate quantum optimization problems into quantum circuits or Zapata’s Orquestra to compose, run and analyze quantum workflows. Above the circuits and libraries are the domain-specific application platforms. Orchestrating and integrating classical and quantum workflows to solve real problems with hybrid quantum-classical algorithms is the name of the game for the next few years.” ... "