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Google Quantum Chip Breakthrough: Reducing Key Computation Error Rate, Early Bitcoin Wallet Quantum Risks Under Attention

Google stated that its Willow quantum chip reduces the error rate in preparing the special states (Magic States) required for quantum computing by about 40 times through a method called "Cultivation." The related research was published this week in Science, which is expected to lower the hardware costs of future large-scale quantum computers and draw more attention to the potential threat of cracking Bitcoin wallets.Magic States are a key resource needed to perform certain quantum computing operations, and their preparation process consumes a significant amount of hardware. Google's experiment achieved about 99.99% state fidelity, but only about 8% of attempts passed the screening. Researchers indicated that future experiments need to be scaled up and issues such as real-time operation and error correction need to be addressed. In March of this year, Google estimated that under specific hardware assumptions, future quantum computers might only need fewer than 500,000 physical qubits to crack the cryptography used in Bitcoin and Ethereum wallets.For Bitcoin, some early wallets' public keys have been public since their mining, theoretically making them targets for future quantum attacks; while wallets with undisclosed public keys may face different attack conditions. However, this breakthrough does not mean that quantum computers are capable of cracking Bitcoin. Google's previous cost estimates for attacks assumed the use of efficient Magic States preparation schemes, so this result cannot simply be understood as a 40-fold reduction in the cost of cracking Bitcoin. Research is still in the advancement stage of quantum hardware and error correction technology, and the complete equipment and engineering capabilities required for actual attacks have not yet been realized.

first_img DeepSeek open-source Ascend basic components, covering compilation, computation, and communication libraries

The artificial intelligence company DeepSeek has officially open-sourced infrastructure components for the Huawei Ascend computing platform, covering the TileLang high-level language compilation tool, computing libraries, and distributed communication libraries, corresponding to the previously open-sourced components for the NVIDIA platform. TileLang aims to provide a general-purpose, simpler programming language that can achieve the hardware performance limits, improving development efficiency and simplifying logic compared to CUDA, while its programming model can also leverage chip features.The TileLang route was first validated on the NVIDIA platform and has already supported the implementation of most operators in the training of the DeepSeek V4 series models. The open-sourced Ascend version encapsulates the underlying instructions of the Ascend C, providing a high-level programming approach without sacrificing hardware performance. Currently, every TileLang operator used in DeepSeek's training has a corresponding high-performance implementation on Ascend.The components open-sourced at the same time also include DeepGEMM, DeepEP, TileKernels, FlashMLA, and DeepSelect, which are used for general matrix operations, large-scale cross-device communication, conventional vector calculations and memory access, long-context sparse attention, and data filtering, respectively. DeepSeek claims that in multiple key tests, the related computing and communication performance has approached hardware limits; during the R&D process, the Huawei team provided support, and both parties collaborated to advance the 128-card supernode solution based on Ascend 950, with deep optimizations made for computing and communication.

first_img SMIC's revenue in the first half of 2026 was 38.635 billion yuan, with a year-on-year increase of 94.2% in net profit attributable to the parent company

SMIC (Hong Kong Stock 00981, A Share 688981) released its semi-annual report for 2026. The reporting period is from January 1, 2026, to June 30, 2026, and is unaudited. The company achieved operating revenue of 38.635 billion RMB, a year-on-year increase of 19.4%; total profit of 7.133 billion RMB, a year-on-year increase of 96.7%; net profit attributable to shareholders of the listed company of 4.467 billion RMB, a year-on-year increase of 94.2%; net profit attributable to the parent company after deducting non-recurring gains and losses of 2.994 billion RMB, a year-on-year increase of 57.2%.During the same period, the net cash flow generated from operating activities was 20.760 billion RMB, a year-on-year increase of 252.0%; earnings before interest, taxes, depreciation, and amortization (EBITDA) was 24.511 billion RMB, a year-on-year increase of 40.7%. The gross profit margin was 23.2%, an increase of 1.3 percentage points compared to the same period last year; the net profit margin was 16.7%, an increase of 6.3 percentage points; basic and diluted earnings per share were both 0.56 RMB, a year-on-year increase of 93.1%. The board of directors approved the submission of this report on August 27, 2026, and the company has no profit distribution or capital reserve transfer plan.
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