Infleqtion, Comcast and Classiq, Quanderla, Deutsche Telekom - The Week in Quantum Computing, February 23rd, 2026
Issue #271
Quick Recap
Infleqtion began public trading after merging with Churchill Capital Corp X, debuting with a share price surge of over 22 percent, signaling renewed investor confidence despite this year’s subdued performance in quantum stocks. Research announcements highlighted both technical and foundational progress. A new optical switch protocol now enables real-time, nondestructive verification of entangled states, a critical step for more reliable quantum information processing. The variational Qubit-Efficient MaxCut algorithm reduces quantum resource requirements from linear to logarithmic relative to problem size, solving instances with far fewer qubits and showing strong resilience to hardware noise. At the theoretical frontier, Henry Yuen of Columbia University leads efforts to build a new mathematical framework to describe computational problems with quantum inputs and outputs, uncovering broad equivalences across quantum tasks and hinting at a transformative shift in quantum complexity theory. Industry application and platform news also delivered notable milestones. Comcast, Classiq, and AMD jointly demonstrated quantum algorithms improving network routing resilience on commercial infrastructure. Quandela released MerLin 0.3, an open-source framework for photonic and hybrid quantum machine learning, integrating with standard artificial intelligence workflows and providing reproducible benchmarks across architectures. Deutsche Telekom’s T-Labs and Qunnect teleported quantum information 30 kilometers over live Berlin fiber using commercial entanglement hardware, achieving up to 95 percent peak fidelity (now they just have to deploy optic fiber in Berlin properly!). The week also brought heightened ethical scrutiny, as over 250 quantum scientists signed a manifesto condemning the militarization and surveillance use of quantum research, calling for transparency and oversight in military-funded projects.
The Week in Quantum Computing
Optical switch protocol verifies entangled quantum states in real time without destroying them
Researchers have developed an optical switch protocol that can verify entangled quantum states in real time without destroying them. The technique enables the measurement and confirmation of entanglement during operation, addressing a critical challenge in quantum computing where verification typically disturbs or destroys the quantum state. This nondestructive verification could improve the reliability and efficiency of quantum information processing by allowing continuous monitoring of entanglement.
[PAPER] A Variational Qubit-Efficient MaxCut Heuristic Algorithm
The paper introduces the variational Qubit-Efficient MaxCut (QEMC) algorithm, which addresses the MaxCut problem—a canonical NP-hard combinatorial optimization challenge—using exponentially fewer quantum resources than existing approaches. Specifically, the QEMC algorithm leverages an innovative encoding scheme to solve MaxCut on a graph with \(N\) nodes using only \(O(\log N)\) qubits, a dramatic reduction compared to the linear scaling required by the Quantum Approximate Optimization Algorithm (QAOA). The authors demonstrate the algorithm’s efficacy by solving 32-node MaxCut instances on real superconducting quantum hardware with just 5 qubits, and extend their results to graphs with up to 2048 nodes using 11 qubits in classical simulations. The QEMC algorithm exhibits strong resilience to hardware noise and is amenable to efficient classical simulation, positioning it as both a practical tool for current quantum devices and a challenging benchmark for QAOA. The implications of this work are significant for the near-term trajectory of quantum optimization. By reducing the quantum resource requirements from linear to logarithmic in the problem size, the QEMC algorithm enables the tackling of much larger problem instances on today’s noisy intermediate-scale quantum devices, which are severely limited by qubit count and coherence times. This exponential qubit reduction could accelerate the practical deployment of quantum optimization in industry-relevant settings, especially as hardware advances remain incremental. However, the authors note that the same encoding that grants noise resilience and resource efficiency also allows for efficient classical simulation, which tempers claims of quantum advantage. Nevertheless, the QEMC algorithm establishes a new standard for qubit-efficient quantum heuristics and provides a rigorous benchmark for evaluating future quantum and quantum-inspired optimization algorithms under realistic hardware constraints. This work matters now because it reframes the landscape of feasible quantum optimization, shifting focus from brute-force scaling to intelligent encoding and resource-aware algorithm design.
A New Complexity Theory for the Quantum Age
Henry Yuen, a Columbia University professor and notable complexity theorist, is developing a new mathematical framework to address computational problems with inherently quantum inputs and outputs—an area traditional complexity theory cannot adequately describe. In a recent interview with Quanta Magazine (February 2026), Yuen explains that fully quantum tasks, such as quantum bit commitment in cryptography, exhibit fundamentally different properties from classical problems. His ongoing research, initiated with collaborators in recent years, has revealed numerous quantum problems that appear unrelated are in fact equivalent under this new theory. The logical relationship between classical and fully quantum complexity remains an open question, signaling a potential paradigm shift in our understanding of quantum computational tasks.
Quantum Computing Stocks: Infleqtion Starts Trading As Public Company
Quantum computing firm Infleqtion began trading as a public company following its merger with Churchill Capital Corp X, debuting under the ticker INFQ. On its first day, Infleqtion shares surged over 22% in early trading before moderating. This listing occurs as quantum computing stocks had generally underperformed in 2026 ahead of Infleqtion’s entry to the market. The developments were reported by Investor’s Business Daily on February 17, 2026.
Comcast, Classiq and AMD Demonstrate Quantum Algorithm for More Resilient and Reliable Internet
Comcast, Classiq, and AMD have completed a trial demonstrating the use of quantum algorithms to improve network routing resilience, addressing a challenge in global telecommunications. The trial focused on identifying unique backup paths for network sites—critical for maintaining connectivity during maintenance and unexpected failures—using both quantum hardware and GPU-accelerated simulations with AMD Instinct products. Elad Nafshi, Chief Network Officer at Comcast, stated the results show quantum computing for network optimization is “practical, scalable, and grounded in the needs of our customers.” Classiq supplied quantum software and engineering support. This collaboration evidences real-world applicability of quantum algorithms in large, complex networks, combining quantum and high-performance classical computing to tackle intensively complex optimization problems.
Quantum scientists release ‘manifesto’ opposing the militarization of quantum research
Over 250 quantum scientists have signed a “manifesto” that “categorically rejects” the militarization of quantum research and its use in surveillance or population control, according to Physics World (16 Feb 2026). Co-authored by Marco Cattaneo of the University of Helsinki, the statement expresses “deep concern” over growing military applications—including quantum key distribution, cryptographic networks, and sensing—and warns that such trends may already be shaping research agendas and international collaborations. Originating at a 2025 workshop in Spain, the manifesto calls for transparent reporting of military-funded research, open debate on ethical implications, and the exclusion of classified quantum research from public universities. Signatories acknowledge that stopping military applications completely may be impossible but seek critical engagement and oversight within the field.
MerLin: Photonic Quantum Machine Learning, Engineered for Utility
Quandela has announced MerLin 0.3, an open-source framework aimed at advancing photonic and hybrid quantum machine learning. MerLin is built on Quandela’s photonic quantum software development kit, Perceval, and leverages optimized strong linear optical simulation for efficient and hardware-aware quantum circuit training. The platform natively integrates with PyTorch, allowing AI developers to train and benchmark quantum layers using standard workflows. MerLin’s release includes 18 reproduced state-of-the-art photonic and hybrid quantum machine learning experiments, providing a reproducible empirical foundation for comparison under unified conditions. The framework enables translation between qubit-based and photonic architectures, promoting rigorous, utility-driven benchmarking and facilitating the practical engineering of deployable quantum machine learning applications.
Deutsche Telekom and Qunnect Successfully Test Quantum Teleportation Over Live Berlin Network
Deutsche Telekom’s research arm T-Labs and Qunnect have achieved quantum teleportation of quantum information over 30 kilometers of live commercial fiber network in Berlin. Using Qunnect’s commercial entanglement hardware and Deutsche Telekom’s quantum infrastructure, they realized average teleportation fidelities of 90 percent (95 percent peak) during January 2026 trials—transferring qubits alongside normal data traffic. The experiment’s significance lies in operating deployable quantum technologies outside the laboratory, marking the first practical test of core components needed for future teleportation services. The work paves the way for connecting quantum computers, secure communications, and networking sensitive quantum systems, with trial results available at arxiv.org/abs/2602.16613. This represents an essential milestone for future quantum internet deployments.
Triplet superconductivity—physicists may have found the missing link for quantum computers
Physicists have reported potential evidence for triplet superconductivity, an elusive state of matter long sought for its predicted applications in quantum computing. According to the publication, researchers observed key signatures of triplet pairing in a layered material, which could pave the way for fault-tolerant quantum bits exploiting so-called Majorana quasiparticles. The findings, involving a collaboration of international scientists, are significant as most known superconductors exhibit singlet pairing; triplet superconductors could offer resilience to noise and decoherence, addressing a major challenge in quantum hardware. This advance is positioned as a “missing link” for the development of new quantum computing architectures, but more experimental verification is needed before practical impact is realized.
IBM Ventures invests in SQK and QodeX Quantum to accelerate Quantum innovation
IBM Ventures announced investments in early-stage startups SQK and QodeX Quantum, both participants in the Duality quantum startup accelerator and Alchemist Chicago accelerator. SQK, founded in 2023 and based in Seattle, focuses on hybrid quantum-classical algorithms for medical image reconstruction, aiming to improve diagnostics in oncology, cardiovascular health, and neuroscience. QodeX Quantum, founded in 2025 in Chicago, is developing a platform for quantum-native artificial intelligence models, integrating quantum computing into machine learning workflows. These moves align with IBM’s wider strategy to foster a quantum software ecosystem, highlighted by partnerships with the University of Chicago’s Polsky Center and the establishment of the National Quantum Algorithm Center in Illinois, reinforcing the region’s role in quantum innovation.
Why Quantum Computing Still Isn’t Close To Its ChatGPT Moment
Despite promotional efforts such as a consumer-oriented quantum chatbot and marketing for ready-to-deploy quantum processors, Brian Jackson of Info-Tech Research Group highlights that quantum computing remains far from widespread enterprise adoption. Jackson notes that even the most optimistic industry estimates defer tangible enterprise value to the decade’s end. He states, “Quantum computing will probably never get a ‘ChatGPT moment’ because while AI is versatile, quantum computing is specialized for a very small subset of mathematically hard problems.” This underscores the current disconnect between industry hype and practical capabilities, stressing that quantum computers are not poised for imminent, transformative impact in business environments.
Networks Hold the Key to a Decades-Old Problem About Waves
Mathematicians Zhihan Jin, Aleksa Milojević, István Tomon, and Shengtong Zhang have achieved a breakthrough on a longstanding problem first posed by Sarvadaman Chowla in 1965 about the minimum possible sum of cosine waves drawn from any set of N integers. Previously, the best bound, set in 2004 by Imre Ruzsa, showed the minimum dips below −7 for N equal to 1020, whereas Chowla conjectured it should fall below −1010. This new result, emerging unexpectedly from work in graph theory rather than traditional Fourier analysis, marks the first significant advance in 20 years.
Quantum computing: Tracking qubit fluctuations in real time
Researchers at the University of Copenhagen’s Niels Bohr Institute have developed a real-time monitoring system for rapid qubit fluctuations, achieving tracking speeds about one hundred times faster than previous techniques. Using field programmable gate array-based control hardware, their system instantly detects when a superconducting qubit’s energy loss rate shifts, updating estimates within milliseconds. This breakthrough reveals previously hidden qubit dynamics that older methods, which could only measure averages over a minute, missed. The work is documented in Physical Review X as “Real-Time Adaptive Tracking of Fluctuating Relaxation Rates in Superconducting Qubits,” and is significant as it could help address one of the main obstacles for scaling quantum processors by enabling more precise testing and calibration of quantum devices.