IN. Capital的封面图片
IN. Capital

IN. Capital

科技、信息和网络

I.N. stands for Intelligence Network.

关于我们

IN. Capital is a digital-forward investment platform driven by deep scientific and technological insights from a global community of carefully curated experts and talents. We focus on deep tech. We enhance traditional capital with intellectual, social, and human capital to maximize the value we provide to our clients with thoughtfulness and sophistication.

网站
www.i-n-c.com
所属行业
科技、信息和网络
规模
11-50 人
类型
合营企业
创立
2022

IN. Capital员工

动态

  • IN. Capital转发了

    查看Jen Zhu Scott的档案

    Multifamily Direct Investments | Sustainable Data Centers | Board Chair | TED Speaker | Perpetual Student of Neuroscience, AI, Math, Physics, and History

    An Important Milestone for #QuantumComputing ?? - we are now below the quantum error threshold, which brings quantum computing one (major) step closer to reality. ?? Quantum Error Correction (QEC) has been a theory and roadblock for scalable quantum computing until now. Simplistically speaking, bits are 0 or 1. Qubits can be 0 and 1 simultaneously due to superposition, which allows qubits to exist in multiple states at once, providing a massive potential for parallelism. However, unlike classic computing states that are robust, errors are local, definite, and easy to identify, and quantum states are extremely fragile. Decoherence (a quantum system loses its superposition and entanglement, or random fluctuations (quantum noise) affect the state of a qubit and introduce errors in quantum computation. Due to the nature of multiple states and non-local (entanglement), quantum computing errors are difficult to identify and correct. But the team at Google, Qinghua University, and IBM all have made progress in QEC. The following paper by the Google team states that they implement a 101-qubit surface code; each time they increase the distance by two, the logical error rate is cut in half! This will bring hardware implications as well. Quite a significant and remarkable moment in #quantumcomputing ?? Full paper here: https://lnkd.in/gyRVnWij

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