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QTREX turns 3D-printed parts into graphene for qubit shielding

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August 19, 2026 by Ivy Delaney

QTREX Quantum Ltd. has demonstrated the direct conversion of 3D-printed insulation into graphene-like carbon, a technology designed to shield sensitive quantum processors from disruptive stray radiation. Research at Northeastern University confirmed the creation of electrically conductive carbon across all 20 tested laser-processing conditions using QTREX’s DF INSU300 dielectric material, establishing a repeatable manufacturing process.

According to Dagi Ben-Noon, Chief Executive Officer of QTREX, “You cannot assemble your way to a million qubits,” and this technology positions the printed package itself as part of the protection system, integrating shielding, connectivity, and mechanical structure into a single unit.

DF INSU300 Dielectric Converts to Graphene for Qubit Shielding

QTREX Quantum Ltd. This repeatable outcome, utilizing the company’s DF INSU300 dielectric material, establishes a robust manufacturing process and addresses a critical challenge in scaling quantum computing: protecting qubits from stray radiation. The research revealed that electrical resistance and the depth of carbon conversion could be precisely controlled by adjusting laser power and scan speed, defining a practical window for manufacturing functional structures within printed quantum infrastructure.

This innovation bypasses the need for adding conductive materials or assembling separate components, a significant simplification for quantum processor packaging. QTREX is integrating this capability into quantum packages as monolithic absorbers designed to intercept photons before they disrupt superconducting circuits; these absorptive structures are positioned precisely where circuits are most vulnerable.

The company’s approach targets photon protection built directly into printed packages and interconnects, replacing bulky discrete components and reclaiming space within the cryostat, the ultra-cold environment required for qubit operation. Electrical behavior of the laser-written carbon and the absorption response of integrated absorber architectures are currently undergoing validation at cryogenic temperatures and high frequencies.

QTREX anticipates a commercial launch of DF INSU300 by the end of the third quarter of 2026 and is concurrently developing absorber applications with industry partners while exploring integration with superconducting materials and electrodes to investigate the proximity effect and Josephson behavior.

You cannot assemble your way to a million qubits.

Dagi Ben-Noon, Chief Executive Officer of QTREX
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3D printing Graphene Quantum Computing Superconducting Circuits
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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