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MicroAlgo Inc. Develops Hybrid Classical-Quantum Algorithms to Optimize Multi-Query Problems

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SHENZHEN, China, Jan. 2, 2025 /PRNewswire/ — MicroAlgo Inc. (the “Company” or “MicroAlgo”) (NASDAQ: MLGO), today announced the development of an innovative hybrid algorithm that combines the advantages of classical and quantum computing to optimize Multi-Query Optimization (MQO) problems.

Quantum computing is a technology that uses the principles of quantum mechanics to process information. Compared to traditional classical computers, quantum computers exhibit the potential to outperform classical computers in handling certain types of problems, such as search, optimization, and simulating quantum systems. However, the realization of quantum computers faces technical challenges, particularly in constructing quantum computers with a sufficient number of qubits and low error rates.

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning algorithms, and network routing. The core of the MQO problem lies in how to effectively handle multiple query requests to minimize the overall computational cost or time.

Although quantum computers theoretically have tremendous potential, current quantum computers are far from being fully practical. The limited number of qubits and high error rates restrict their ability to solve large-scale problems. To address these issues, MicroAlgo has proposed a hybrid algorithm that combines the stability of classical computers with the efficiency of quantum computers.

MicroAlgo’s hybrid algorithm design is based on the following key points:

Efficient Use of Qubits: Through carefully designed quantum circuits, the algorithm ensures efficient utilization of qubits, achieving a qubit efficiency close to 99%.

Reduction of Error Rates: By integrating error correction mechanisms from classical algorithms, the error rate during the quantum computation process is significantly reduced.

Scalability of the Algorithm: The algorithm design by MicroAlgo takes scalability into account, enabling it to adapt to problems of varying sizes.

Compatibility with Existing Technologies: MicroAlgo’s algorithm is compatible with existing gate-based quantum computers, meaning it can run on current hardware.

MicroAlgo’s hybrid algorithm first transforms the MQO problem into a form that can be handled by quantum computing. Quantum circuits are designed to perform the necessary quantum operations, including quantum state preparation, application of quantum gates, and quantum measurement. Then, during the quantum computation process, classical computers are used to assist the quantum computation, such as in qubit error correction and post-processing of the results. Through experiments and simulations, the algorithm’s performance is continuously optimized to ensure optimal performance with limited qubit resources.

MicroAlgo has conducted detailed experimental evaluations of the algorithm, including testing its performance on problems of various scales. The experimental results show that, despite the current limitations in qubit numbers, our algorithm is still able to handle smaller-scale problems and demonstrate a qubit efficiency close to 99%. Compared to quantum computers based on quantum annealing, MicroAlgo’s algorithm shows a significant improvement in efficiency.

In exploring the vast field of quantum computing, MicroAlgo’s hybrid algorithm represents an innovative solution that combines the stability of classical computing with the efficiency of quantum computing to address the challenges of Multi-Query Optimization (MQO). Through carefully designed quantum circuits and algorithmic optimizations, the algorithm not only improves qubit utilization efficiency but also significantly reduces error rates, enabling it to run on existing quantum hardware while maintaining scalability for large-scale problems. This achievement marks a significant step forward in the practical realization of quantum computing.

With the ongoing advancements in quantum technology, there is every reason to believe that MicroAlgo’s hybrid algorithm will play an even more important role in the future. As quantum computer hardware improves and the number of qubits increases, the algorithm will be able to tackle larger-scale problems, unlocking greater potential in fields such as chemistry, physics, and machine learning.

MicroAlgo’s hybrid algorithm is not only a major breakthrough in existing technology but also a powerful outlook on the future applications of quantum computing. We firmly believe that, through continuous research and innovation, quantum computing will gradually transition from theory to practice, becoming a powerful driver of technological progress and societal development. We look forward to a future where quantum computing will bring even more surprises and possibilities, opening a new era of computing.

About MicroAlgo Inc.

MicroAlgo Inc. (the “MicroAlgo”), a Cayman Islands exempted company, is dedicated to the development and application of bespoke central processing algorithms. MicroAlgo provides comprehensive solutions to customers by integrating central processing algorithms with software or hardware, or both, thereby helping them to increase the number of customers, improve end-user satisfaction, achieve direct cost savings, reduce power consumption, and achieve technical goals. The range of MicroAlgo’s services includes algorithm optimization, accelerating computing power without the need for hardware upgrades, lightweight data processing, and data intelligence services. MicroAlgo’s ability to efficiently deliver software and hardware optimization to customers through bespoke central processing algorithms serves as a driving force for MicroAlgo’s long-term development.

Forward-Looking Statements

This press release contains statements that may constitute “forward-looking statements.” Forward-looking statements are subject to numerous conditions, many of which are beyond the control of MicroAlgo, including those set forth in the Risk Factors section of MicroAlgo’s periodic reports on Forms 10-K and 8-K filed with the SEC. Copies are available on the SEC’s website, www.sec.gov. Words such as “expect,” “estimate,” “project,” “budget,” “forecast,” “anticipate,” “intend,” “plan,” “may,” “will,” “could,” “should,” “believes,” “predicts,” “potential,” “continue,” and similar expressions are intended to identify such forward-looking statements. These forward-looking statements include, without limitation, MicroAlgo’s expectations with respect to future performance and anticipated financial impacts of the business transaction.

MicroAlgo undertakes no obligation to update these statements for revisions or changes after the date of this release, except as may be required by law.

View original content:https://www.prnewswire.com/news-releases/microalgo-inc-develops-hybrid-classical-quantum-algorithms-to-optimize-multi-query-problems-302341248.html

SOURCE Microalgo.INC

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Black Lake Technologies Shortlisted as SAIL Award TOP30 Finalist and Selected as Global Industrial AI Flagship Case, Showcasing Latest Industrial Agent at WAIC 2026

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SHANGHAI, July 18, 2026 /PRNewswire/ — The 2026 World Artificial Intelligence Conference (WAIC) opened in Shanghai on July 17. Shanghai Blacklake Technologies Co., Ltd. (“Black Lake”), an industrial AI company, is showcasing a portfolio of industrial AI agents at the conference. The company has also been named to the Top 30 shortlist for the 2026 WAIC Super AI Leader (SAIL) Award and selected as a Trusted Partner under the Global Call for Trusted Partners for Industrial AI in the Global South.

The accreditations highlight Black Lake’s latest progress in bringing AI into critical manufacturing decision-making workflows and deploying industrial AI capabilities on the shop floor around the world.

This year’s conference attracted over 1,100 exhibiting companies and showcased more than 3,000 exhibits, setting a new record for exhibition scale. The conference delivered a clear signal: as artificial intelligence becomes a common priority across global industries, attention is moving beyond model capabilities toward practical applications in real-world operating environments.

Manufacturing provides a particularly demanding test for this transition. Factory operations are governed by multiple constraints, including process specifications, equipment capabilities, material availability, production capacity, delivery schedules and quality requirements. Therefore, AI has to do so much more than simply comprehend information input. It must make reliable judgments within clearly defined business rules and operational constraints.

Black Lake has focused on industrial digitalization and industrial AI for years, developing and deploying AI applications in a range of factory environments.

At WAIC 2026, the company is presenting industrial AI agents covering order splitting and process planning, quotation and pricing, procurement, production scheduling, quality inspection, and order tracking. These applications are designed to move AI beyond an auxiliary role and into critical manufacturing decision-making workflows.

Traditional industrial software is primarily responsible for data recording, digital workflows, and worker coordination. However, critical decisions such as how to split an order, determine pricing, schedule production, and assess quality risks still depend heavily on the experience of engineers and frontline workers.

Industrial AI agents are intended to convert fragmented industrial knowledge and production experience into decision-making capabilities that can be invoked, reused and continuously refined by software systems.

Order decomposition and process planning are representative examples. After receiving an engineering drawing, a factory typically relies on experienced engineers to identify components, materials and dimensions, define the required manufacturing processes and technical specifications, and establish a basis for subsequent quotation and quality inspection.

The process is highly dependent on individual expertise and represents one of the first critical decision points after an order is received.

Black Lake Technologies’ CAD-to-Process Agent can understand product drawings and, taking into account the factory’s equipment capabilities, process requirements, and production practices, rapidly generate process steps along with the corresponding technical requirements. Drawing analysis that once took hours can now be completed in approximately one minute, achieving an accuracy rate of over 95% in real deployment and providing engineers with stable, efficient decision support. Currently, the industrial agents developed by the company cover core processes including design, scheduling, production, and quality inspection, and have entered the stage of large-scale deployment.

Founded in 2016, Black Lake serves nearly 40,000 factories worldwide. Its customers span more than 30 industries, including food and beverage, automotive components and equipment manufacturing.

By working across factory order management, production and fulfillment workflows, Black Lake has accumulated the technical capabilities and industry knowledge required to support decision-making in complex industrial environments.

In April 2026, Black Lake completed a Series D funding round of nearly RMB 1 billion. The company said the proceeds would primarily be used to accelerate the deployment of its industrial AI products and support its international expansion.

AI-related products are becoming a new source of growth for the company. In a recent interview, Black Lake founder and CEO Zhou Yuxiang said that the company had recorded significant growth in AI-related revenue since the beginning of 2026. He also said that manufacturing customers were taking less time to make purchasing decisions for industrial AI agents.

Zhou expects AI adoption among Chinese factories to increase substantially over the next three to four years.

Unlike consumer-facing AI, which is primarily associated with content generation and personal productivity, industrial AI agents can directly affect production costs, capacity utilization, delivery performance, and product quality. Their commercial value therefore depends largely on whether they can perform specific tasks reliably in complex production environments.

During WAIC 2026, Black Lake was named to the Top 30 shortlist for the 2026 Super AI Leader (SAIL) Award. The SAIL Award is one of WAIC’s major awards and recognizes achievements in technological breakthroughs, application innovation, and industrial value.

Black Lake was also selected as a Trusted Partner under UNIDO’s Global Call for Trusted Partners for Industrial AI in the Global South.

The Global Call was launched under the guidance of the United Nations Industrial Development Organization (UNIDO), in partnership with the Shanghai Artificial Intelligence Research Institute, and in connection with the work of UNIDO AIM Global and its Shanghai-based Centre of Excellence.

The initiative aims to build a curated pool of leading partners to co-develop scalable industrial AI solutions and public goods for the Global South.

For Black Lake, the two accreditations underscore the growing importance of reliability, explainability, and scalability in the evaluation of industrial AI, in addition to the capabilities of AI models.

Global expansion will be a major priority in the company’s next phase of development. Black Lake is currently focusing on Southeast Asia, Latin America and Eastern Europe, adapting its industrial AI agents to the industrial structures, production processes and management requirements of different markets.

Although manufacturing operations vary across countries and regions, manufacturers share similar concerns about efficiency, quality, delivery reliability and production flexibility.

Black Lake is transforming industrial AI capabilities that have been validated in complex factory environments into configurable and deployable products. Through these products, the company aims to work with manufacturers worldwide to explore more efficient, flexible and intelligent approaches to production.

View original content:https://www.prnewswire.com/apac/news-releases/black-lake-technologies-shortlisted-as-sail-award-top30-finalist-and-selected-as-global-industrial-ai-flagship-case-showcasing-latest-industrial-agent-at-waic-2026-302828984.html

SOURCE Black Lake

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76% of Coupon Codes Work at Checkout, but Most Failures Trace Back to Terms Shoppers Never Read, CouponDopa Study Finds

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Study Finds 76% of Coupon Codes Work at Checkout

NEW YORK, July 18, 2026 /PRNewswire-PRWeb/ — Multi-country research across 11 regions finds that most coupon code failures were not due to expired codes, but to terms and conditions shoppers did not check before checkout.

Our research shows that most coupon code failures are caused by overlooked terms and conditions not expired codes. Understanding the offer requirements can significantly improve checkout success.” — Anderson Joe, CMO, CouponDopa

A new study testing 1,000 coupon codes across 11 countries found that three in four online discount codes applied successfully at checkout, while the remaining failures were tied more often to unmet terms than to expired or invalid codes.

The research was conducted by CouponDopa, a multi-regional coupon platform operating in 11 countries. Codes were tested across multiple retail categories in July 2026 to measure real checkout success rates.

KEY FINDINGS

Overall success rate: 76%. Overall failure rate: 24%. Highest-performing country: Netherlands, 81%. Lowest-performing countries: Poland and Italy, tied at 70%. Highest-performing category: Electronics. Lowest-performing category: Travel. Desktop success rate: 78%. Mobile success rate: 74%.

The study’s most significant finding was not the failure rate itself, but the reasons behind it.

“The assumption most shoppers make is that a coupon code doesn’t work because it’s expired,” said Anderson Joe, CMO at CouponDopa. “Our testing found that expiry was rarely the primary issue. In most failed attempts, the code was still active, but the shopper’s cart did not meet a listed condition, such as a minimum spend or a region restriction.”

WHY COUPON CODES ACTUALLY FAIL

Minimum spend not met: the most common reason for failure across all 11 regions, since many codes require a basket value above a set threshold.Region-specific restrictions: codes valid in one country frequently failed in another.Unread terms and conditions: codes were applied to excluded categories, sale items, or specific product ranges without checking eligibility first.Delivery and shipping thresholds: free shipping codes requiring a minimum order value were sometimes mistaken for blanket offers.

No exact percentage breakdown of failure causes is available. Minimum spend is confirmed as the single most common cause; the other three were not ranked against each other.

“In our view, a code that fails because of an unmet minimum spend is not necessarily a broken code,” said Anderson. “It may simply be a condition the shopper did not see before checkout.”

REGIONAL FINDINGS — NETHERLANDS LEADS

Country Success Rate

Netherlands 81%

Germany 79%

United States 77%

Canada 77%

United Kingdom 76%

Australia 75%

New Zealand 74%

France 73%

Spain 72%

Poland 70%

Italy 70%

Netherlands recorded the highest success rate of the 11 regions tested. Germany followed closely. The United Kingdom matched the overall study average, and Canada and the United States recorded the same rate. Poland and Italy recorded the lowest rates in the study, tied at 70%.

ELECTRONICS OUTPERFORMS TRAVEL

Electronics recorded the highest coupon code success rate of any category tested, at 80%, while travel recorded the lowest, at 69%.

“Electronics codes in our sample tended to carry fewer conditions,” noted Anderson Joe. “Travel codes more often included conditions tied to dates, destinations, or booking windows, which may explain the difference.”

MOBILE SHOPPERS RECORD LOWER SUCCESS RATES

Desktop checkouts recorded a 78% success rate compared with 74% for mobile, a 4-point gap. Researchers said the difference may relate to how terms are displayed on smaller screens, though this was not directly tested.

“We saw a consistent gap between desktop and mobile across our markets,” said Anderson Joe. “We can’t say precisely why from this data alone, but it’s a pattern worth further study.”

ABOUT THE STUDY

CouponDopa tested 1,000 coupon codes across 11 countries during July 2026, across electronics, fashion, food delivery, travel, beauty, and home categories. Codes were manually tested at real checkouts on desktop and mobile. A code counted as successful only when the discount appeared in the checkout total. Failed codes were categorized by reason. Read the complete methodology available at CouponDopa tested 1000 coupon codes in 11 regions.

ABOUT COUPONDOPA

CouponDopa is a multi-regional coupon and discount platform operating across 11 countries. CouponDopa verifies coupon codes across hundreds of brands before publishing, providing shoppers with discount information across major retail categories, including verified codes available on CouponDopa’s store pages.

MEDIA CONTACT

Organization: Coupondopa

Contact Person Name: Anderson Joe

Website: https://www.coupondopa.com/

Email: info@coupondopa.com

Contact Number: +1 (530) 269-6377

Address: 165 ithaca Bayshore NY, 11706 USA

City: Bay Shore

State: NY

Country: United States

Media Contact

Anderson Joe, Coupondopa, 1 631 404-9968, coupondopa@gmail.com, https://www.coupondopa.com/

View original content:https://www.prweb.com/releases/76-of-coupon-codes-work-at-checkout-but-most-failures-trace-back-to-terms-shoppers-never-read-coupondopa-study-finds-302828186.html

SOURCE CouponDopa

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Global Times: Head-of-state diplomacy shines at WAIC, fostering ties and advancing global governance consensus

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BEIJING, July 17, 2026 /PRNewswire/ — Chinese President Xi Jinping on Friday held a series of high-level meetings on the sidelines of the 2026 World Artificial Intelligence Conference (WAIC) and High-Level Meeting on Global AI Governance in Shanghai, sitting down successively with Thai Prime Minister Anutin Charnvirakul, Cambodian Prime Minister Hun Manet, and UN Secretary-General António Guterres. The bustling diplomatic activity transformed the WAIC from a premier showcase of AI technologies and industrial breakthroughs into a vibrant platform for head-of-state diplomacy and global governance coordination.

Analysts said hosting intensive head-of-state diplomatic events in Shanghai, a core hub of reform, opening-up and technological innovation, carries profound meaning. In addition, Friday’s high-level meetings embody the innovative model of “technology builds the stage while diplomacy takes the leading role.” It not only deepens China’s bilateral relations with ASEAN members, but also helps advance inclusive global AI governance centered on the UN mechanism.

Strategic guidance

According to the two separate official releases by Xinhua, during his meetings with the prime ministers of Thailand and Cambodia, President Xi spoke of the long-standing friendship China shares with both nations. He called on China and Thailand, as well as China and Cambodia, to join hands to advance the development of their respective communities with a shared future.

Furthermore, the Chinese leader stressed the need for China to expand pragmatic cooperation with Thailand and Cambodia respectively across traditional and emerging sectors, and work with each country to jointly crack down on cross-border crimes such as online gambling and telecom fraud, according to Xinhua.

He called for the proper handling of border frictions between Thailand and Cambodia and called on the two sides to resolve disputes through dialogue and consultation, with China standing ready to continue playing a constructive role in this regard, per Xinhua.

During their respective meetings with the Chinese leader, the prime ministers of Thailand and Cambodia both expressed willingness to deepen multi-field cooperation with China and spoke highly of China’s positive efforts to facilitate the peaceful settlement of the Thailand-Cambodia border conflicts.

Xu Liping, Director of the Center for Southeast Asian Studies at the Chinese Academy of Social Sciences, told the Global Times that head-of-state diplomacy has charted the fundamental course for the advancement of China’s ties with both Cambodia and Thailand.

WAIC exemplifies the innovative model of “technology builds the platform, while diplomacy takes the leading role,” said Xu, “In addition, AI cooperation is also expected to serve as a vital entry point to further deepen and substantiate China’s ties with Thailand and Cambodia going forward.”

Furthermore, addressing the sensitive and thorny Thailand-Cambodia border dispute amid the relatively relaxed atmosphere of a tech summit enables all relevant parties to handle differences in a rational and pragmatic manner, which embodies Eastern wisdom and an Asian approach to resolving issues, said Xu.

The year 2026 marks the fifth anniversary of the establishment of the China-ASEAN comprehensive strategic partnership, witnessing the official rollout of the new Plan of Action on the China-ASEAN Comprehensive Strategic Partnership (2026-2030). It also kicks off the implementation of China’s 15th Five-Year Plan.

The critical juncture offers a perfect window to align China’s development plans closely with the national development strategies of Global South countries and ASEAN members, said Xu. “Thailand and Cambodia’s willingness to ramp up cooperation with China mirrors the aspiration of the majority of ASEAN members to leverage China’s development dividends and pursue win-win outcomes and common prosperity in the region.”

Firm support for UN

In his meeting with UN Secretary-General Antonio Guterres on Friday, Xi reiterated China’s firm support for the UN.

Noting that this year marks the 55th anniversary of the restoration of the lawful seat of the People’s Republic of China at the UN, the Chinese leader said China has since been committed to building world peace, contributing to global development, defending international order, and firmly supporting the UN, Xinhua reported.

Xi added that he proposed the vision of building a community with a shared future for humanity and the four global initiatives with one important consideration in mind – to uphold the status and authority of the UN.

Currently, the international landscape is marked by more pronounced changes and turbulence, making it all the more necessary to practice true multilateralism and reinvigorate the status and role of the UN, he said.

Guterres commended China for its steadfast support for multilateralism, the cause of the UN, and international cooperation, saying that China has set an example for the world.

Guterres said the UN will continue to strengthen cooperation with China, oppose unilateralism, protectionism, and hegemonic bullying, safeguard the UN Charter and international law, as well as advance the process toward a multipolar world.

At this pivotal juncture where talks on AI development and UN multilateral governance converge, China, leveraging head-of-state diplomacy as a top-tier platform, has elaborated in a systematic manner its vision for global governance in the AI era, Wang Yiwei, a professor at the School of International Studies, Renmin University of China, told the Global Times.

He added that China’s emphasis on the UN-centered global governance architecture will further strengthen the UN’s authority and operational capacity.

Before the official opening of the WAIC, on Thursday, representatives from 29 countries, including Kazakhstan, Laos, Pakistan, Russia and Indonesia, signed an agreement on establishing the World Artificial Intelligence Cooperation Organization (WAICO) in Shanghai. UN chief Guterres was among representatives from countries and international organizations present at the signing ceremony.

According to the agreement, WAICO will be an independent intergovernmental international organization, which aims to promote international cooperation and global governance on AI, ensuring that AI is beneficial, safe and fair, thereby promoting its healthy and orderly development to benefit all humanity.

President Xi on Friday also announced that in the next five years, China will provide developing countries with 5,000 opportunities in AI training and seminar programs. China will also develop international AI application cooperation centers with the ASEAN, the League of Arab States, the African Union, the Community of Latin American and Caribbean States, the Shanghai Cooperation Organization, and BRICS.

However, some international media, including Reuters and Nikkei, used the term “AI diplomacy” describing the grand gathering in Shanghai, claiming that Beijing seeks a new global AI order, challenging US dominance.

In rebuttal, Wang pointed out that China advocates open, inclusive technology that lets AI benefit all humanity under the vision of “AI for All”. In contrast, the US adheres to a mindset of “All for AI”, weaponizing AI for geopolitical rivalry and aiming to outpace China in technological competition. Driven by the “America First” doctrine and capital-centric priorities, Washington’s approach forms a sharp contrast with China’s.

Meanwhile, China’s resolute commitment to upholding the UN system underscores that for China and a wide array of Global South countries, the sensible path lies in reforming and improving the existing global governance architecture rather than discarding it to build parallel institutions from scratch, the expert added.

This article first appeared on Global Times

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SOURCE Global Times

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