In a groundbreaking advancement poised to redefine the landscape of wireless communication, the National Institute of Information and Communications Technology (NICT) has unveiled a pioneering hybrid signal processing technique that leverages the collaborative power of quantum annealing and classical computing. This innovative approach holds the promise of transforming next-generation mobile communication systems by addressing one of the most formidable challenges anticipated in the forthcoming 6G era: massive device connectivity.
The exponential proliferation of connected devices, particularly drones, robots, and extended reality (XR) gadgets, necessitates drastic enhancements in uplink communication capability. Whereas 5G systems already represent a significant stride forward, 6G networks are expected to multiply device density by beyond an order of magnitude, intensifying the demand for sophisticated signal processing solutions. Central to overcoming this challenge is non-orthogonal multiple access (NOMA)—a paradigm that allows multiple devices to transmit simultaneously over identical time-frequency resources. The major hurdle in NOMA lies in the complex task of disentangling these superposed signals at the base station in real time without prohibitive computational costs.
NICT’s new hybrid method ingeniously melds the exploratory aptitude of an annealing-based quantum computer with the processing rigor of classical systems to surmount the combinatorial explosion inherent in multi-device signal detection. The complexity grows exponentially with the number of devices (K) and modulation order (M), as the potential signal combinations reach M^K, which rapidly becomes computationally infeasible with traditional algorithms. The quantum annealer, renowned for its ability to traverse vast energy landscapes efficiently, is employed to navigate the colossal search space of candidate signal combinations. Meanwhile, a classical computer conducts subsequent probabilistic analyses for refined detection, enabling an unprecedented balance between accuracy and speed.
While NICT had previously demonstrated the viability of this hybrid framework, its scope was limited to straightforward communication scenarios. The latest iteration marks a quantum leap, extending applicability to the multi-antenna and multi-carrier transmission configurations intrinsic to 5G and essential for 6G. This inclusion is not merely a technical upgrade but a crucial step towards real-world deployment, as such transmission schemes underpin the spectral efficiency and reliability required in future networks. The method also elegantly integrates channel estimation from reference signals, a staple in contemporary mobile systems, ensuring robustness against the dynamic wireless environments encountered in practice.
Extensive numerical simulations reveal the robustness of the proposed algorithm under challenging conditions. Utilizing a base station equipped with four receive antennas in conjunction with quadrature phase shift keying (QPSK) modulation and eight simultaneously connected devices, the system confronts around 65,000 possible signal permutations—a formidable combinatorial landscape. Implementing simulated quantum annealing (SQA) as the optimization engine, the algorithm surpasses traditional linear minimum mean square error (LMMSE) techniques, delivering significantly lower block error rates and affirming its promise for superior real-time detection.
Crucially, these theoretical advances were validated through rigorous over-the-air (OTA) outdoor experiments, where the hybrid processing was embedded within a functional base station setup. Employing identical system parameters to the simulations, empirical results demonstrated error-free signal detection with both simulated quantum annealing and the commercially available D-Wave quantum annealing hardware. This landmark achievement also confirmed reliable simultaneous communication with up to ten devices, signaling a tenfold increase in device density performance compared to current 5G capabilities—an essential milestone for the envisioned 6G paradigm.
Beyond the immediate technical triumphs, the implications of this research resonate across a broad spectrum of applications. The ability to sustain massive connectivity with low latency and high accuracy is a prerequisite for the seamless operation of autonomous drones swarms, cooperative robotic networks, and immersive XR experiences that demand continuous high-throughput uplink channels. Moreover, this accomplishment exemplifies the practical synergy between quantum technologies and classical computing architectures in solving real-world engineering problems, heralding a new era in telecommunications.
Looking forward, NICT plans to escalate experimental demonstrations to encompass even larger device ensembles, pushing the boundaries of scalability and integration. The ongoing refinement of hybrid quantum-classical algorithms, optimized annealing schedules, and hardware-software co-design will be pivotal in transitioning these proofs of concept into globally deployable standards. Such progress is expected to be instrumental in supporting the massive machine-type communications characteristic of smart cities, intelligent transportation infrastructures, and ubiquitous sensing networks.
This research was proudly presented at the IEEE Consumer Communications & Networking Conference (CCNC) 2026, a leading forum for innovations in consumer networking technology. The work was also supported by MIC Japan’s SCOPE project, emphasizing the collaborative and multidisciplinary nature critical to breakthroughs in this domain.
NICT’s pioneering development not only charts a course for overcoming the massive connectivity constraints of future networks but also serves as a compelling demonstration of the transformative potential of quantum computing in telecommunications. As the world hurtles towards the 6G epoch, hybrid quantum-classical processing strategies such as this are set to become foundational pillars that enable the next generation of connected intelligence.
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News Publication Date: January 9, 2026
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Image Credits: National Institute of Information and Communications Technology (NICT)
Keywords: Telecommunications, Quantum computing, Smartphones
