Quantum Hardware, Deep Tech

Picosecond-Level Precision Validates QTREX Quantum Platform

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July 31, 2026 by Ivy Delaney

QTREX Quantum reports achieving 4.4 picoseconds of average channel-to-channel skew above 1 GHz with its printed coaxial quantum interconnect platform, a level of timing precision critical for complex quantum computations. The company’s technology also maintained 68 dB of crosstalk suppression below the source signal across a broad frequency band, from 10 MHz through 20 GHz. These results exceeded performance requirements established by QTREX’s strategic partners, validating the platform for commercial application development. “Quantum processors cannot scale without equally advanced infrastructure to connect, control and read them,” said Dagi Ben-Noon, Chief Executive Officer of QTREX.

QTREX Coaxial Shielding Achieves RF Performance Thresholds

QTREX’s newly tested coaxial shielding architecture achieves a channel-to-channel skew of 4.4 picoseconds above 1 GHz, a level of timing precision essential for coordinating the complex calculations within quantum computers. This performance benchmark demonstrates a significant advance in the infrastructure supporting quantum processing, addressing a critical need for reliable signal transmission. The interconnect platform’s capabilities were validated through rigorous testing aligned with the requirements of QTREX’s strategic partners, confirming its readiness for commercial development.

This isolation minimizes interference between quantum bits, or qubits, which are exceptionally sensitive to environmental noise. The platform also exhibited a remarkably tight group delay, with a spread of only 2 picoseconds between 1.020 and 1.022 nanoseconds, minimizing distortion of the delicate quantum signals.

Consistent manufacturing also proved crucial, with average insertion-loss variation measured at only 0.33 dB and characteristic impedance varying by less than 0.3 ohms. The company believes its interconnect offers a unique combination of isolation, timing precision, and integrated architecture, positioning QTREX as a key player in the emerging quantum connectivity market. The validation of these performance metrics is expected to accelerate ongoing strategic engagements and facilitate the development of specialized connectivity components for quantum systems.

Quantum processors cannot scale without equally advanced infrastructure to connect, control and read them.

Dagi Ben-Noon, Chief Executive Officer of QTREX
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Avatar of Ivy Delaney

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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