Core Viewpoint - MicroCloud Hologram Inc. has introduced a learnable quantum spectral filter technology for hybrid graph neural networks, marking a significant advancement in quantum-classical hybrid graph neural network architecture, which enhances graph signal processing capabilities and paves the way for practical quantum graph machine learning applications [1][12]. Technology Overview - The new technology integrates graph convolution and pooling operations into a quantum computing process, allowing for efficient processing of graph signals through a quantum circuit that performs spectral transformations based on graph structures [2][10]. - The quantum measurement process enables structured nonlinear mapping, addressing complex structural search challenges in classical graph neural networks (GNNs) [3][9]. - The quantum convolution layer can compress a graph of size N into log(N)-dimensional features, significantly reducing computational costs compared to classical methods [4][10]. Mathematical Foundation - The technology is based on the spectral structure of the graph Laplacian operator, which reflects key properties of the graph, such as connectivity and clustering [5][6]. - A mapping between the graph's adjacency matrix and quantum gates allows for the simulation of local adjacency relationships, while hierarchical rotation logic provides multi-scale filtering consistent with graph spectrum decoupling [6][7]. Implementation and Optimization - The training of the quantum circuit utilizes classical-quantum hybrid optimization, enabling the extraction of spectral features from high-dimensional input signals and outputting low-dimensional features for further processing by classical networks [8][10]. - The logarithmic encoding method reduces the number of qubits needed, allowing for efficient representation of the original feature space [7][10]. Industry Implications - The technology addresses the challenges of large-scale graph learning in various domains, such as social media and traffic networks, where classical GNNs struggle with memory and computational demands [9][10]. - Quantum spectral filters present a disruptive solution, as the qubit requirements grow logarithmically with the number of nodes, making them suitable for future quantum-classical GNNs [10][12]. Future Outlook - The introduction of this technology positions MicroCloud Hologram Inc. at the forefront of quantum computing and graph neural networks, establishing a foundation for future hardware development and practical applications in artificial intelligence and physical computing [11][13].

Calgary, Alberta--(Newsfile Corp. - January 5, 2026) - SuperQ Quantum Computing Inc. (CSE: QBTQ) (OTCQB: QBTQF) (FSE: 25X) ("SuperQ Quantum", "SuperQ", or the "Company"), a leader in hybrid quantum-classical orchestration and advanced optimization platforms, is pleased to announce it has signed a formal Memorandum of Understanding (MOU) with Aegis Critical Energy Defence Corp. (CSE: QESS) (OTCQB: QESSF) (FSE: JG6) ("Aegis"), a leading developer and integrator of advanced energy storage systems for defence, ...

Core Insights - MicroCloud Hologram Inc. has launched the Q-DPC Accelerator, a tool that utilizes quantum-enhanced density peak clustering algorithms to enhance strategy evaluation efficiency [1][4] - The Q-DPC Accelerator features three main functions: strategy set preprocessing, quantum clustering grouping, and intelligent strategy matching, which collectively improve the efficiency and accuracy of strategy evaluations [2][4] Group 1: Q-DPC Accelerator Functions - The strategy set preprocessing stage includes quantum data cleaning, feature extraction, and data conversion, ensuring data accuracy and consistency for effective clustering analysis [2] - The quantum clustering grouping stage employs the quantum-enhanced density peak clustering algorithm to accurately identify clustering structures and reduce evaluation complexity [2][4] - The intelligent strategy matching stage rapidly matches access requests with pre-generated strategy clusters, enhancing both speed and accuracy of the matching process [3][4] Group 2: Application and Impact - The Q-DPC Accelerator is designed to provide enterprises with efficient and precise strategy evaluation solutions, significantly improving operational efficiency in complex strategy set scenarios [4] - The tool has broad application potential across various industries, aiding enterprises in building robust security systems to address increasing security challenges [4] - Continuous advancements in quantum computing technology are expected to further enhance the performance and accuracy of the Q-DPC Accelerator, providing reliable protection for enterprise data security [4][7]

Core Insights - D-Wave Quantum (QBTS) is gaining significant investor interest due to its unique position in developing both annealing and gate model quantum computers, which allows it to capture the entire quantum market opportunity [1] - The company anticipates that 2025 will be a pivotal year, with key product development milestones expected to play a central role in its growth [1] Product Developments - D-Wave launched Advantage2 in May, an energy-efficient annealing quantum computer designed to solve complex problems that classical computers cannot handle, with applications in optimization, material simulation, and AI [2] - The Advantage2 system is operational at Davidson Technologies in Huntsville, AL, focusing on U.S. government mission-critical issues, particularly in national defense [2] - D-Wave has completed the fabrication of fluxonium qubit chips and superconducting control chips, working towards scalable control of gate model qubits, which could provide a competitive edge [3] - The fabrication of Advantage3 prototype chips is nearing completion, with circuit testing expected soon, focusing on innovation and scaling towards 100,000 qubits [4][8] Market Performance - Over the past 12 months, QBTS shares have increased by 172.2%, significantly outperforming the broader Internet Software industry's 6.8% rise, the Computer and Technology sector's 26.3% increase, and the S&P 500's 19% gain [7] - Currently, QBTS shares are trading at a forward price/book (P/B) ratio of 13.49X, which is below its median but above the industry average of 6.01X [9] Peer Updates - IonQ (IONQ) has extended its strategic partnership with the Korea Institute of Science and Technology Information and is set to deliver a 100-qubit IonQ Tempo quantum system [5] - Quantum Computing Inc. (QUBT) has signed an agreement to acquire Luminar Semiconductor, Inc. for $110 million, which will enhance its portfolio and support its growth [6]

Core Insights - IBM is positioned as a leader in the quantum computing sector, which is anticipated to be the next major technological revolution despite current limitations in commercial applications [1][3]. Group 1: Quantum Computing Potential - Quantum computing has the potential to significantly impact various fields such as materials science, logistics, drug discovery, finance, cybersecurity, and artificial intelligence [3]. - Over the next decade, researchers are expected to overcome challenges like error correction, leading to real-world applications of quantum computers [3]. Group 2: IBM's Progress and Strategy - IBM has reported nearing $1 billion in cumulative signings related to quantum computing, collaborating with numerous partners including established companies, start-ups, and academic institutions [4]. - The company plans to demonstrate a clear example of quantum advantage by 2026, with the goal of developing the first fault-tolerant quantum computer by 2029 [5]. - IBM's new Nighthawk quantum processor features 120 qubits and 218 tunable couplers, which will be crucial in demonstrating quantum advantage [6]. Group 3: Financial Stability and Market Position - IBM's market capitalization stands at $277 billion, with a gross margin of 57.22% and a dividend yield of 2.27% [7]. - Unlike pure-play quantum computing companies that may struggle to secure funding, IBM has a clear roadmap and a strong history of quantum innovations, making it a favorable investment choice [7].

Industry Overview - The global quantum computing market is projected to grow from $0.8 billion in 2025 to $1.08 billion in 2026, with a CAGR of 35.2% through 2035, driven by adoption in sectors like finance, pharmaceuticals, and manufacturing [1] - Quantum computing-related revenues could reach up to $72 billion by 2035, fueled by applications in optimization, materials science, drug discovery, and complex financial modeling [1] Investment Performance - Several pure-play quantum stocks have delivered quadruple-digit returns during 2024-2025, despite the lack of positive earnings, as revenues increased from a small base and order backlogs expanded [2] - The Defiance Quantum ETF (QTUM) gained 103.9% during this period, reflecting strong investor interest [2] Key Companies - **IonQ (IONQ)**: Focuses on trapped-ion qubits, aiming for 100-256 qubit systems by 2026, and expanding commercial engagements through partnerships. Projected earnings growth of 65.8% on revenue growth of 83.3% [12][13] - **IBM**: Introduced the Quantum Nighthawk processor, a 120-qubit system, targeting quantum advantage by the end of 2026. Projected earnings growth of 7.5% on revenue growth of 4.9% [14][15] - **NVIDIA (NVDA)**: Advances quantum computing through hybrid quantum-classical platforms, with a focus on integrating quantum processors with GPU systems. Projected earnings growth of 55% on revenue growth of 43.2% [16][17] Funding and Government Support - Quantum funding more than doubled year over year in 2025, with total equity funding reaching $3.77 billion in the first three quarters [7] - Global governments committed approximately $1.8 billion to quantum initiatives in 2024, with cumulative public funding expanding to $10 billion by April 2025 [8][10] Future Outlook - 2026 is anticipated to be a pivotal year for quantum computing, with sustained capital inflows, policy support, and technical advancements converging to create conditions for significant returns for investors [11]

BOULDER, Colo.--(BUSINESS WIRE)--Infleqtion, a global leader in neutral atom–based quantum technology, will participate in the quantum conference track at CES 2026, taking place January 7-10 in Las Vegas. [As the world's most influential technology event,] CES brings together tens of thousands of innovators, developers, and industry leaders to explore the latest breakthroughs shaping the future of consumer technology. Infleqtion plans to go public through a merger with Churchill Capital Corp X. ...

Calgary, Alberta--(Newsfile Corp. - December 30, 2025) - SuperQ Quantum Computing Inc. (CSE: QBTQ) (OTCQB: QBTQF) (FSE: 25X) ("SuperQ Quantum", "SuperQ", or the "Company") has named former PwC, EY and AECOM leader and sustainability expert Willem Krüger as Business Lead, a move aimed at accelerating the commercial rollout of its hybrid quantum-supercomputing stack.Krüger joins SuperQ as the Company moves to capitalize on its flagship Super™ platform. Unlike traditional quantum interfaces that require speci ...

Key Takeaways Pure-play quantum stocks QBTS and RGTI saw early 2025 gains fade into volatility as valuations stretched.Amazon's AWS advanced quantum via Braket and launched the Ocelot chip to improve error correction efficiency.IBM unveiled the 120-qubit Quantum Nighthawk, aiming to scale hardware and software for 2026 progress.In the first several months of 2025, pure-play quantum computing stocks such as Rigetti Computing (RGTI) and D-Wave Quantum (QBTS) delivered spectacular returns as investors chased e ...

Montreal, Quebec--(Newsfile Corp. - December 29, 2025) - Quantum eMotion (TSXV: QNC) (OTCQB: QNCCF) (FSE:34Q0) today highlighted a rare convergence of independent audit validation, quantum-attack performance testing, and formal certification progress, underscoring the real-world security performance of its patented quantum entropy technology.This announcement follows the publication of a perfect 100/100 security audit score and 5-Star Confidence Rating achieved by Krown Network and KrownDEX-one of the most ...