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WiMi Develops a Quantum Technology-Based Random Access Memory Architecture

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BEIJING, Dec. 26, 2024 /PRNewswire/ — WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today announced the development of a Quantum Technology-Based Random Access Memory Architecture, known as QRAM. This architecture successfully implements fundamental logical operations such as AND, OR, NOT, and NOR gates in quantum logic gates by combining key basic operations in quantum computing, such as the CNOT gate, V gate, and V+ gate. Quantum Random Access Memory (QRAM) is a memory architecture specifically designed for quantum computing environments, with the core goal of enabling efficient reading and writing of information while maintaining the state of the quantum system. The design of QRAM is not only intended to leverage the parallel processing capabilities of quantum computing but also to utilize quantum properties such as superposition and entanglement to significantly enhance computational efficiency.

In WiMi’s QRAM architecture, the quantum CNOT gate, V gate, and V+ gate serve as the fundamental operation units. Each quantum operation is equivalent to certain logical operations in classical computing, but simultaneously leverages the properties of quantum states to achieve efficient computation.

CNOT Gate (Controlled-NOT Gate): The CNOT gate is a crucial operation in quantum computing, used to control the relationship between two quantum bits (qubits). In classical computing, this is similar to the function of an XOR gate, but in the quantum environment, it allows qubits to exist in a superposition of states, enabling the simultaneous processing of multiple states.

V Gate and V+ Gate: The V gate and V+ gate are quantum gates used to implement more complex logic. The operations of these two gates are similar to the AND and OR gates in classical computing. However, their advantage lies in the ability to process multiple potential outcomes in the quantum system simultaneously, without the need to evaluate each possibility separately.

By combining these fundamental quantum gates, basic operations in quantum logic such as AND, OR, NOT, and NOR can be successfully implemented. This provides the necessary support for designing complex quantum circuits, while being more flexible and efficient compared to classical logic gates.

One of the major advantages of the QRAM architecture is its full utilization of the properties of quantum superposition and quantum entanglement. In classical computing, memory read and write operations are linear and must be performed sequentially. However, in quantum computing, because qubits can exist in multiple states (superposition), parallel read and write operations can be performed simultaneously. This ability significantly enhances computational efficiency, especially when handling large-scale datasets or complex computational tasks.

Additionally, quantum entanglement enables the correlation between multiple qubits without the need for direct communication, further improving the speed of data transfer and computation. Memory operations with entangled qubits are much faster and more efficient than traditional memory operations, opening up new possibilities for parallel computing.

In WiMi’s QRAM architecture, the entire design logic includes several key steps and technical nodes, such as quantum state-based random access, the introduction of quantum error correction mechanisms, and seamless integration with quantum computers.

The core feature of QRAM is its ability to perform random access within a quantum system. Traditional computer RAM achieves reading and writing to memory units through address buses, data buses, and other components, whereas QRAM accomplishes this process through the states of quantum bits (qubits). By utilizing quantum superposition, multiple addresses can be accessed simultaneously in a single operation. This means that in a QRAM system, data can be accessed in parallel across multiple addresses, greatly improving the efficiency of data operations.

To achieve this, WiMi has designed a system based on CNOT gates, V gates, and V+ gates. These quantum gates allow flexible control over memory access processes while maintaining the quantum state of the system and ensuring the efficient transmission of qubits in an entangled state. Through this system, QRAM not only enables high-speed data reading and writing, but also ensures the reliability and accuracy of information processing.

Furthermore, error correction is crucial in any quantum computing system. Due to the fragile nature of qubit states, even small external disturbances can cause computational errors. Therefore, WiMi’s QRAM architecture incorporates a quantum error correction mechanism to ensure that the qubit states are accurately preserved and transmitted during data reading and writing. This includes an error correction method based on quantum entanglement, where redundant entangled qubits are introduced to detect and correct potential errors. This method not only effectively reduces the impact of external noise on the system but also ensures the stability of data during multiple read operations.

WiMi’s QRAM design is intended to seamlessly integrate with quantum computers. Since quantum computing operations depend on the superposition and entanglement states of qubits, the QRAM system demonstrates high compatibility when interfacing with a quantum processing unit (QPU). The design ensures smooth transmission of qubits between memory and processor during data access, thereby significantly improving computational efficiency.

By utilizing the V gate, V+ gate, and CNOT gate, WiMi’s QRAM system can quickly execute quantum logic operations and, when handling complex computational tasks, can read and write data at near-real-time speeds. This makes QRAM a key component in large-scale quantum computing applications.

The successful development of QRAM technology has had a revolutionary impact across multiple fields. As a critical component of quantum computers, QRAM will significantly enhance the overall performance of quantum computing systems. Its efficient parallel data access capabilities make it especially well-suited for handling large-scale computational tasks such as molecular simulations, climate modeling, and complex optimization problems. By significantly reducing computation time, QRAM will play an indispensable role in the future of high-performance quantum computing.

Another important application of QRAM is in quantum communication and quantum encryption. By leveraging quantum entanglement, QRAM can enable high-speed data transmission while ensuring data security. The non-locality of quantum entanglement guarantees that data cannot be intercepted during transmission, providing a solid foundation for future quantum encryption technologies.

With the development of quantum computing, the field of quantum machine learning has also gradually emerged. QRAM’s efficient data access capabilities make it highly suitable for handling large-scale datasets, enabling model training to be completed in a shorter time. This will significantly advance the development of quantum artificial intelligence, allowing complex machine learning tasks to be solved quickly on quantum computers.

As quantum technology continues to evolve, QRAM, as a core technology, will provide crucial support for the future of quantum computing. WiMi is committed to continuing the development of QRAM technology, continually optimizing its performance, reducing implementation costs, and expanding its applications across various industries.

The successful development of QRAM technology marks an important step in the advancement of quantum computing. As quantum computers progress and quantum technologies mature, QRAM will become an indispensable core component of quantum computing systems. With the ongoing optimization and promotion of this technology, QRAM is expected to bring disruptive innovations across multiple fields and lay a solid foundation for the arrival of the quantum era.

About WiMi Hologram Cloud

WiMi Hologram Cloud, Inc. (NASDAQ:WiMi) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.

Safe Harbor Statements

This press release contains “forward-looking statements” within the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” and similar statements. Statements that are not historical facts, including statements about the Company’s beliefs and expectations, are forward-looking statements. Among other things, the business outlook and quotations from management in this press release and the Company’s strategic and operational plans contain forward−looking statements. The Company may also make written or oral forward−looking statements in its periodic reports to the US Securities and Exchange Commission (“SEC”) on Forms 20−F and 6−K, in its annual report to shareholders, in press releases, and other written materials, and in oral statements made by its officers, directors or employees to third parties. Forward-looking statements involve inherent risks and uncertainties. Several factors could cause actual results to differ materially from those contained in any forward−looking statement, including but not limited to the following: the Company’s goals and strategies; the Company’s future business development, financial condition, and results of operations; the expected growth of the AR holographic industry; and the Company’s expectations regarding demand for and market acceptance of its products and services.

Further information regarding these and other risks is included in the Company’s annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement except as required under applicable laws.

 

 

 

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SOURCE WiMi Hologram Cloud Inc.

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Baidu to Report First Quarter 2026 Financial Results on May 18, 2026

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BEIJING, April 23, 2026 /PRNewswire/ — Baidu, Inc. (Nasdaq: BIDU; HKEX: 9888 (HKD Counter) and 89888 (RMB Counter)) (“Baidu” or the “Company”), a leading AI company with strong Internet foundation, today announced that it will report its financial results for the First Quarter 2026 ended March 31, 2026, before the U.S. market opens on May 18, 2026. Baidu’s management will hold an earnings conference call at 8:00 AM on May 18, 2026, U.S. Eastern Time (8:00 PM on May 18, 2026, Beijing Time).

Please register in advance of the conference call using the link provided below. It will automatically direct you to the registration page of “Baidu Inc. Q1 2026 Earnings Conference Call”. Please follow the steps to enter your registration details, then click “Register”. Upon registering, you will then be provided with the dial-in number, the passcode, and your unique access PIN. This information will also be emailed to you as a calendar invite.

For pre-registration, please click:
https://s1.c-conf.com/diamondpass/10054331-iu876y.html

In the 10 minutes prior to the call start time, you may use the conference access information (including dial-in number(s), the passcode and unique access PIN) provided in the calendar invite that you have received following your pre-registration.

Additionally, a live and archived webcast of this conference call will be available at https://ir.baidu.com.

A replay of the conference call may be accessed by phone at the following number until May 25, 2026:
US: 1 855 883 1031
Reply PIN: 10054331

About Baidu

Founded in 2000, Baidu’s mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong Internet foundation, trading on Nasdaq under “BIDU” and the HKEX under “9888.” One Baidu ADS represents eight Class A ordinary shares.

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SOURCE Baidu, Inc.

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Phase 1 of 139th Canton Fair Introduces New Dedicated Product Zones as Emerging Technologies Take Center Stage

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GUANGZHOU, China, April 23, 2026 /PRNewswire/ — The 139th China Import and Export Fair (Canton Fair) has further optimized its exhibition landscape with nine new dedicated product zones, reflecting ongoing structural shifts in global trade and the continued upgrading of China’s export portfolio.

Among the most closely watched additions in Phase 1 are the consumer and agricultural drone zones, both making their debut at the Canton Fair and offering a focused showcase of applications in the low‑altitude economy. The consumer drone zone showcases progress in flight control, AI‑based obstacle avoidance and energy efficiency across imaging, tourism, emergency response and patrol. The agricultural drone zone highlights precision farming, with spraying, seeding and field‑management demonstrations showing terrain‑following, intelligent route planning, and precise payload control.

On day one, a Shandong‑based drone manufacturer welcomed buyers from 30+ countries, with over 50 strong leads. One buyer, after seeing load and wind‑resistance demonstrations, immediately confirmed three sample units and even proposed becoming a regional distributor.

Display technology is another focal point of Phase 1, highlighting advances in color accuracy, energy efficiency, and overall visual performance. Developments in fine‑grained control, expanded color gamut, and reduced power consumption point to a clear trend toward immersive viewing experiences combined with sustainability gains.

The smart wearables zone underscores how intelligent devices are becoming key interfaces for human‑machine interaction. From real‑time language translation and adaptive noise cancellation to long‑term health monitoring and AI‑enabled eyewear, wearables are evolving from standalone products into integrated systems that support communication, well‑being, and productivity across daily and professional settings.

The service robots zone further illustrates how artificial intelligence is moving from conceptual exploration to large‑scale deployment. Advanced robots showcased across industrial, commercial, medical, and public‑service scenarios demonstrate growing autonomy, multi‑sensory perception, and closer human-robot collaboration.

By bringing emerging technologies into clearer focus through dedicated zones, the 139th Canton Fair is reinforcing its function as a platform where trade trends take shape, innovation meets application, and global buyers gain early insights into cutting-edge technologies.

For pre-registration, please click: https://buyer.cantonfair.org.cn/register/buyer/email?source_type=16

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OZMOSI Announces Strategic Partnership with Planview to Advance AI-Driven Planning in Pharmaceutical R&D

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By combining structured clinical intelligence with AI-driven portfolio planning, the partnership gives pharmaceutical teams a faster, clearer way to make high-stakes R&D decisions

SPRING LAKE HEIGHTS, N.J., April 23, 2026 /PRNewswire/ — OZMOSI, a leading provider of structured pharmaceutical development intelligence, today announced a strategic partnership with Planview, the leading AI-powered end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD).

By integrating OZMOSI’s machine-readable clinical datasets directly into Planview’s AI-driven portfolio planning platform, external scientific data is now connected to internal R&D planning in one system,  helping pharmaceutical organizations better predict market shifts, prioritize R&D investments, and make faster, more confident decisions.

This integration brings external clinical reality into internal R&D decision-making, so teams can plan based on what’s actually happening, not just on what they hope will happen.

The two organizations combine deep expertise in complementary areas, united by a shared focus on improving the quality and usability of data for strategic decision-making. OZMOSI provides structured, machine-readable intelligence across clinical trials, drug development programs, regulatory activity, and scientific literature, built on a consistent taxonomy that standardizes how data is connected and understood. Planview’s platform enables organizations to model complex investment scenarios, align initiatives with corporate strategy, and optimize resource allocation.

Together, these capabilities give teams a clearer, more complete view of the R&D landscape, grounded in clean, standardized data and strengthened by AI-driven analysis.

“AI is only as powerful as the data that fuels it,” said Beau Bush, President and Founder of OZMOSI. “Pharmaceutical organizations have no shortage of data, but too often it’s fragmented, inconsistent, and difficult to operationalize. By bringing OZMOSI’s structured data foundation together with Planview’s AI-driven planning capabilities, we’re enabling teams to move beyond disconnected analysis and toward truly integrated, forward-looking decision-making.”

“Strategic planning in pharmaceutical R&D is becoming increasingly dependent on advanced analytics and AI,” said  Louise Allen, Chief Product Officer at Planview. “Integrating OZMOSI’s clinical intelligence into Planview’s platform enables pharmaceutical leaders to make better decisions by combining trusted external data with AI-driven planning

OZMOSI’s dataset spans more than 800,000 clinical trials, over 35,000 drugs, and 4,000 diseases and conditions. It brings together insights from clinical trial registries, regulatory filings, scientific literature, company disclosures, and industry announcements into a unified, structured dataset.

When integrated into Planview’s platform, this intelligence enables pharmaceutical and biotech organizations to evaluate competitive landscapes, identify emerging clinical trends, and simulate portfolio outcomes with unprecedented precision.

Together, OZMOSI and Planview are redefining how pharmaceutical organizations approach R&D strategy, ensuring that investment decisions are guided by accurate, standardized, and AI-ready data. By combining internal portfolio visibility with a continuously updated external view of the market, the partnership helps leaders not only understand what they have, but what to do next.

About OZMOSI

Founded in 2013, OZMOSI specializes in transforming complex pharmaceutical R&D intelligence into structured, machine-readable data. The company provides the foundation needed for accurate competitive analysis, product forecasting, and portfolio strategy. Through its proprietary taxonomy and semantic layer, OZMOSI connects fragmented data across the pharmaceutical ecosystem, enabling faster, more confident decision-making for global pharma, biotech, and investment teams.

Based in Spring Lake Heights, New Jersey, OZMOSI is focused on making pharmaceutical intelligence clear, usable, and ready for the future of AI-driven strategy. Learn more at www.ozmosi.com.

About Planview

Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD), powered by advanced AI capabilities that give business and technology leaders the strategic foresight to prioritize investments and initiatives, make plans real within constraints, and pivot with certainty when things change. Our AI-driven connected platform of solutions underpins the business and digital transformations of more than 3,000 customers and 3.1 million users globally. Headquartered in Austin, Texas, Planview has over 1,500 employees worldwide. Learn more at www.planview.com.

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SOURCE Ozmosi Company

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