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Superconducting qubits could solve key quantum computing challenges - Engineer Live

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A CRITICAL COMBINATION Unlike classical bits, qubits are highly susceptible to decoherence, which causes stored quantum information to degrade and introduces errors into calculations. By Setform Published: 16 October 2026 Share SHARE MIT’s new qubit architecture is enabling faster, more accurate quantum computing operations. Conventional approaches, however, can introduce unwanted interactions that become increasingly problematic as systems scale. Simulation results showed the arm qubit outperforming other superconducting qubit architectures, combining long coherence with faster operations and readout.
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By Setform Published: 16 October 2026 Share SHARE MIT’s new qubit architecture is enabling faster, more accurate quantum computing operations. Researchers at MIT have developed a superconducting qubit architecture designed to address one of the key engineering challenges facing scalable quantum computing: achieving both long coherence times and rapid, reliable interactions with the rest of a quantum system. The architecture, described as an “arm qubit”, separates these functions into two connected components. A dedicated data mode stores quantum information, while an arm mode provides the strong interactions needed to communicate with other qubits and electronic components. Simulations indicate that the approach can deliver faster operations and readout while maintaining state-of-the-art coherence. A CRITICAL COMBINATION Unlike classical bits, qubits are highly susceptible to decoherence, which causes stored quantum information to degrade and introduces errors into calculations. As more qubits are interconnected, unwanted interactions can compound the problem, limiting the length and complexity of algorithms that can be executed reliably. “The goal for doing all this is to build a fault-tolerant quantum computer where you can correct these errors as they happen, so then you can do long computations and actually do useful things with a quantum computer,” explains Kevin O’Brien, associate professor in electrical engineering and computer science (EECS) at MIT. The new architecture tackles the competing requirements by assigning different tasks to separate modes. The data mode uses a qubit design known for its long coherence, while the arm mode is based on a design capable of strong interactions with components including resonators used to read out quantum states. “It is engineered for these two, dual purposes – accomplished together by the data mode and arm mode – and these two goals really matter when you try to do quantum error correction,” adds Alec Yen, an EECS PhD graduate and co-author of the research. CONTROLLING NONLINEAR COUPLING A key element of the architecture is a specialised coupling device previously developed by the MIT researchers. Known as a quarton coupler, it provides strong nonlinear coupling between the data and arm modes while limiting unwanted mixing. Nonlinear coupling is important because it enables changes in one quantum component to influence another, forming a basis for many quantum operations. Conventional approaches, however, can introduce unwanted interactions that become increasingly problematic as systems scale. “By dedicating the ‘arm’ component to coupling, we were able make a design that is scalable, robust to manufacturing errors, and still uses a quarton coupler to achieve strong nonlinear coupling,” explains Jeremy Kline, an EECS graduate student and lead author of the study. Simulation results showed the arm qubit outperforming other superconducting qubit architectures, combining long coherence with faster operations and readout. These characteristics could be particularly valuable for quantum error correction, where computational speed and qubit fidelity directly influence how effectively errors can be detected and corrected before they propagate. The researchers emphasise that the work remains at an early stage. The next step is to fabricate the architecture and experimentally determine whether its simulated performance translates into a physical device. “This work leaves me with a lot of suspense because our simulations are very promising. Next, we’ll need to see if we can make it, and determine whether we missed anything in the modelling or design. If we can fabricate this qubit, it could be a building block for future error-correcting quantum computers,” O’Brien says. The research is published in Physical Review Applied and was supported in part by the Army Research Office, Air Force Office of Scientific Research, MIT Centre for Quantum Engineering and Laboratory for Physical Sciences. Read the October issue of International Design Engineer magazine here, or visit our magazine archive for all our recent publications.

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