ZuriQ and ETH Zürich control qubits with microwaves, not lasers

ETH Zürich and ZuriQ have demonstrated a new method for controlling quantum bits, or qubits, using microwaves instead of lasers within Penning traps, the company says. The approach uses nuclear-spin qubits, naturally shielded from disruptive magnetic field fluctuations, to achieve operation speeds comparable to electron-spin qubits. This result represents a milestone for ZuriQ’s quantum computing architecture, showing compatibility with laser-free gate approaches for high-fidelity operations. “This work builds on the broader Penning-trap research carried out at ETH Zürich,” and supports efforts to develop scalable quantum computers based on reconfigurable two-dimensional ion arrays.

Microwave control now enables two-qubit operations within Penning traps, achieving speeds competitive with electron-spin qubits. This approach bypasses the typical reliance on laser systems for manipulating quantum states, instead using the inherent protection offered by nuclear-spin qubits against magnetic field fluctuations. The team demonstrated gate speeds comparable to those of electron-spin qubits, a significant achievement given the added benefit of noise protection, according to ZuriQ.

Encoding quantum information in nuclear spin, naturally shielded from disruptive magnetic fields, is central to this new method. The researchers detail a microwave-based technique for performing these operations, presenting a gate that minimizes external dependencies and maintains qubit coherence. This advance directly supports ZuriQ’s development of scalable quantum computers built on reconfigurable two-dimensional ion arrays within Penning traps.

The ability to precisely control qubits using microwaves, rather than lasers, is important for realizing the potential scaling advantages of this physical system. Prof. Jonathan Home of ETH Zürich, a scientific advisor to ZuriQ, led the research that builds on extensive Penning-trap studies already underway. Advances like these will be essential for transforming the theoretical benefits of Penning traps into functional quantum processors.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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