QCi tackles quantum security hurdles at ECOC 2026 exhibition

Quantum Computing Inc. will demonstrate an integrated quantum security platform at the ECOC Exhibition 2026, September 21-23 at FYCMA in Málaga, Spain. The company’s live demonstration at Booth #1436 combines quantum encryption and authentication on a single platform, utilizing time-frequency and polarization-based approaches, QCi says. QCi’s platform is designed to overcome limitations of traditional quantum key distribution systems by integrating hardware-based Quantum Identity Authentication and addressing security vulnerabilities beyond encryption alone, with technology recognized by the 44th Edison Patent Award. This technology enables quantum authentication and verification of private information without sharing it.

Integrated QKD and Quantum Identity Authentication Platform

QCi will demonstrate a telecom-compatible architecture integrating high-dimensional quantum key distribution, direct entanglement verification, and Quantum Identity Authentication at the ECOC Exhibition 2026, showcasing a platform designed to move quantum security beyond research labs. This integrated approach combines quantum encryption with a method for establishing trusted identities between communicating parties, a capability not typically found in existing quantum key distribution systems.

The company’s demonstration at Booth #1436 will feature a flexible platform for quantum measurement, characterization, and system development, intended to support the transition of concepts to practical applications. Central to this platform is QCi’s patented Quantum Identity Authentication, or QIA, technology, based on the “Systems and Methods for Quantum-Secured, Private-Preserving Computations” invention protected in the United States and over 40 other countries.

This authentication method utilizes QCi’s Quantum Zero-Knowledge Proof technology to provide quantum-safe verification without relying solely on traditional computational cryptography. A company representative stated that their demonstrations combine quantum authentication, quantum key distribution, and the instrumentation needed to develop and validate quantum systems. The demonstration highlights a shift in focus for quantum security, moving beyond solely securing the exchange of encryption keys to addressing the fundamental need for trusted communication endpoints.

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QCi’s platform also includes advanced photonics components, emphasizing the company’s vertically integrated approach to photonics technology and manufacturing. Optical communications form the foundation of the connected world, and security must evolve alongside the networks themselves, suggesting a proactive approach to future-proofing communication infrastructure. QCi anticipates growing demand for these technologies as organizations begin to assess their preparedness for a post-quantum world.

A company spokesperson noted that organizations are beginning to consider what it will take to protect communications and critical data against quantum and AI threats. The company received recognition for its work in this area with the 44th Edison Patent Award presented to Dr. Quantum technologies have the potential to fundamentally change how the researchers establish trust and protect information, and ECOC gives the company an opportunity to demonstrate that potential through technologies being developed with real-world applications in mind. The “Quantum Secure Solution: Quantum-authenticated communications for broad applications in security” presented at ECOC aims to showcase this potential in a tangible way.

Optical communications form the foundation of the connected world, and security has to evolve alongside the networks themselves.

Yong Meng Sua, Chief Technology Officer of QCi

Flexible Instrumentation Validates Quantum Communication Technologies

This instrumentation is designed to bridge the gap between laboratory concepts and practical quantum systems, addressing a critical need for tools that support the transition to real-world deployments. The platform’s adaptability allows for exploration of diverse quantum technologies and concepts, facilitating advancements beyond current limitations. This pairing addresses a key challenge facing wider adoption of quantum communication; traditional QKD systems often struggle with scalability, cost, and reliance on classical authentication methods.

By integrating authentication directly into the hardware, QCi aims to provide a more robust and streamlined approach to securing communications infrastructure. Yong Meng Sua, Chief Technology Officer of QCi, explained that the transition to quantum-secure communications is no longer a long-term technology discussion. These methods, combined with the flexible instrumentation, allow for comprehensive testing and validation of quantum systems.

The company’s platform is not limited to QKD; it supports a broader range of quantum technologies, positioning it as a versatile tool for the telecommunications industry, according to QCi. QCi anticipates that this integrated approach will accelerate the deployment of quantum-secured communications, moving beyond the limitations of standalone QKD systems and providing a more comprehensive security solution for the future.

The transition to quantum-secure communications is no longer a long-term technology discussion. Organizations are beginning to consider what it will take to protect communications and critical data against the quantum and AI threat.

Yong Meng Sua, Chief Technology Officer of QCi
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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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