Core Insights - Major stock indexes are near all-time highs, but leading companies in AI and quantum computing have experienced significant corrections, indicating a market rotation [1][2] - This correction may set the stage for future advances, as many innovative companies have reached major technical support levels, presenting favorable risk-reward opportunities for investors [2][4] Group 1: Company Analysis - IonQ has seen a 50% correction over the past month but is showing signs of stabilization after testing its 200-day moving average, suggesting a potential bottom formation [5][6] - Arista Networks has retraced into a buy zone, filling a prior gap, which often attracts institutional buyers and positions the stock for a potential upward movement [9][10][11] - AppLovin, while not traditionally categorized as an AI stock, has demonstrated strong growth driven by AI enhancements and is forming a bullish consolidation pattern, indicating a potential breakout opportunity [12][13][14] Group 2: Investment Opportunities - The recent pullbacks in the AI and quantum sectors have created technically attractive levels for IonQ, Arista Networks, and AppLovin, all of which are benefiting from strong long-term growth drivers [17][18] - Investors looking to accumulate shares in leading AI infrastructure, quantum computing, and AI implementation companies may find favorable risk-reward setups at current price levels [18]

Market Overview - Tech sector was the biggest market mover, with the Nasdaq Composite experiencing its best single-day percentage gain since May, followed by a decline due to valuation concerns [1] - The Dow Jones Industrial Average closed above 48,000 for the first time, while both the Dow and S&P 500 are on track for weekly gains despite significant daily drops [2] Sector Performance - Chip stocks faced pressure from SoftBank's sale of its entire Nvidia stake for $5.83 billion and disappointing earnings from Kioxia [3] - Airline stocks were highlighted due to flight reductions and delays, while gold futures surged, pushing gold stocks toward recent record highs [3] Earnings Reports - Walt Disney reported disappointing revenue, leading to a sharp decline in shares [4] - Rigetti Computing also fell after missing revenue expectations, while BigBear.ai saw a surge following a mixed report and acquisition announcement [4] Upcoming Events - The White House indicated that October jobs and inflation data might not be released, but other economic data is scheduled for next week [5] - Nvidia's earnings report is highly anticipated, set to be released after the close on November 19, and Netflix announced a 10-for-1 stock split effective Monday [5]

Martin Shkreli, notorious for his market commentary and controversial strategies, has been aggressively shorting quantum computing stocks. And it looks like his bearish bets are paying off. RGTI stock is up today. See the real-time price action here. Shkreli placed short bets against major players, including IonQ Inc. (NYSE:IONQ) , D-Wave Quantum, Inc. (NYSE:QBTS) , Rigetti Computing (NASDAQ:RGTI) and Quantum Computing Inc. (NASDAQ:QUBT) , which initially rallied after the sector received attention from ret ...

Group 1 - The stock market initially rebounded on expectations that the government shutdown would end, which occurred on Wednesday night [1] - The Dow Jones reached a record high on Wednesday but later pared gains, while the Nasdaq and S&P 500 broke below key support levels [1] - Many growth leaders experienced significant declines as the odds of a Federal Reserve rate cut diminished [1] Group 2 - Cisco reported earnings that exceeded expectations, with an outlook that is above market views, driven by strong orders in the AI sector [4] - AMD's stock rose after the chipmaker raised its financial targets, indicating positive momentum in the semiconductor industry [4] - The stock market showed mixed but positive action, with companies like Eli Lilly and Deutsche Bank gaining attention [4]

Key Points IonQ holds $3.5 billion in cash and short-term investments. The company's revenue is growing exponentially, thanks to a series of acquisitions. Meanwhile, its expenses are growing -- contributing to mounting operating losses. 10 stocks we like better than IonQ › In the world of quantum computing stocks, perhaps no other name commands more attention than IonQ (NYSE: IONQ). On the surface, investing in IonQ might look compelling. The company's systems integrate with each major cloud hype ...

Quantum computing has generated huge buzz, with potential to tackle problems in drug discovery, materials science, and optimization that stump traditional computers. ...

Core Viewpoint - MicroCloud Hologram Inc. has launched a multi-class classification method based on Quantum Convolutional Neural Network (QCNN) using hybrid quantum-classical learning, showcasing the potential of quantum computing in artificial intelligence and addressing limitations of traditional computing architectures [1][12]. Technology Development - The new technology addresses bottlenecks in classical neural networks, particularly in computing power, energy consumption, and model complexity, as data scales and classification categories expand [2][10]. - The core of the technology is a multi-class classification model that integrates quantum convolutional neural networks with a hybrid quantum-classical optimization framework, utilizing the TensorFlow Quantum platform [3][9]. Model Design - HOLO introduced a quantum perceptron model that leverages quantum state evolution and measurement, enhancing feature extraction through quantum gates, which allows for high-dimensional feature mappings [4][9]. - The model optimizes circuit complexity and improves expressive power by reducing redundant gate operations and enhancing entanglement structures [4][9]. Training Mechanism - The hybrid quantum-classical learning mechanism significantly improves training efficiency and model convergence speed by combining quantum state encoding with classical optimization algorithms [5][12]. - The training process involves quantum circuits encoding input samples, producing measurement results that are normalized and used to update quantum circuit parameters iteratively [5][8]. Experimental Results - Experimental results indicate that HOLO's quantum convolutional neural network achieves accuracy comparable to classical convolutional networks in four-class classification tasks, validating the feasibility of quantum neural networks for practical applications [6][12]. Industry Context - The technology is positioned to address challenges in various fields such as computer vision, medical image analysis, and natural language processing, where traditional deep learning methods face limitations due to high energy consumption and long training times [10][12]. - HOLO's quantum convolutional neural network method aims to reduce computational complexity and leverage future advancements in quantum hardware for significant breakthroughs in computing power [10][11]. Future Prospects - The technology lays the groundwork for broader applications of quantum machine learning, with expectations for expansion into large-scale image recognition and real-time video processing as quantum hardware advances [11][12]. - HOLO plans to further optimize quantum circuits and explore multi-layer quantum convolutional networks combined with deep residual structures in future research [11].

Group 1 - Rigetti Computing, Inc. (NASDAQ:RGTI) has seen a significant increase in its stock price, rising from $0.149 a year ago to approximately $28, with a peak of $58 last month [1] - Despite the stock's performance, Rigetti is experiencing declining revenues and substantial losses, raising concerns about the sustainability of its stock price [1] - The company is categorized as a hyper-speculative investment, with the current market environment suggesting that the era of high-risk investing may be coming to an end [1] Group 2 - Rigetti develops quantum computing systems and superconducting processors, offering cloud-based access through its Quantum Computing as a Service platform [2] - There is a belief that certain AI stocks may present greater upside potential and lower downside risk compared to Rigetti [2] - The article suggests that investors should consider undervalued AI stocks that could benefit from current economic trends, such as tariffs and onshoring [2]

智通财经APP获悉，周五，多数量子计算概念股强势反弹，截至发稿，昆腾(QMCO.US)涨超10%， Quantum Computing(QUBT.US)涨超10%，D-Wave Quantum(QBTS.US)涨超2%，Rigetti Computing(RGTI.US)微涨。 ...

Core Viewpoint - The successful construction of the "Tianyan-287" superconducting quantum computer marks a significant advancement in China's efforts to promote the practical application of quantum computing, showcasing the country's capabilities in developing a fully domestic quantum computing supply chain and integrating AI technology for enhanced performance [1][4]. Group 1: Quantum Computer Development - The "Tianyan-287" quantum computer features 105 data qubits and 182 coupling qubits, developed by China Telecom Quantum Group in collaboration with Keda Guandun Quantum Technology Co., Ltd [1]. - This quantum computing system demonstrates "quantum computing superiority," processing specific problems 450 million times faster than the fastest supercomputers currently available [4]. Group 2: Technological Breakthroughs - The construction process highlighted three key technological breakthroughs: full domestic production, AI empowerment, and ultra-large integration [4]. - All hardware and components used in the quantum computer were developed and produced by domestic manufacturers, establishing a fully domestic superconducting quantum computing supply chain [4]. - An AI-enabled automatic calibration system for superconducting chip parameters was developed, allowing for efficient and precise calibration and maintenance of the quantum computing system [4]. Group 3: Cloud Platform Integration - In November 2023, the "Tianyan" quantum computing cloud platform was officially launched, integrating Tianyi Cloud supercomputing capabilities with 176 qubits of superconducting quantum computing power [5]. - The platform has surpassed 37 million visits and serves users in over 60 countries, with more than 2.7 million experimental tasks completed [5]. - The goal is to provide computational support to various industry users and research institutions, expanding the application boundaries of quantum computing and enhancing China's core competitiveness in this field [5].