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Quantum Machine Intelligence最新文献

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Meta-variational quantum Monte Carlo 元变分量子蒙特卡罗
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-22 DOI: 10.1007/s42484-022-00094-w
Tianchen Zhao, J. Stokes, S. Veerapaneni
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引用次数: 0
Faster quantum state decomposition with Tucker tensor approximation 基于Tucker张量近似的更快量子态分解
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1007/s42484-023-00113-4
Stanislav Protasov, M. Lisnichenko
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引用次数: 0
SARS-CoV-2 spike and ACE2 entanglement-like binding. SARS-CoV-2刺突和ACE2缠结样结合。
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1007/s42484-023-00098-0
Massimo Pregnolato, Paola Zizzi

We describe the binding between the glycoprotein Spike of SARS-CoV-2 and the human host cell receptor ACE2 as a quantum circuit, comprising the one-qubit Hadamard quantum logic gate performing the quantum superposition of the S1 subunit of the Spike protein, and the two-qubit quantum logic gate CNOT, which performs maximum entanglement between the Spike-qubit S1 and the ACE2 receptor protein. Also, we consider two strategies to prevent the binding process between the Spike-qubit S1 and the ACE2 receptor. The first one is the use of competitive peptidomimetic inhibitors that can selectively bind to the receptor binding domain (RBD) of the Spike glycoprotein with much higher affinity than the cell surface receptor itself. These inhibitors are targeted to the CNOT quantum logic gate and will get maximally entangled with the S1 qubit in place of the natural ACE2 receptor. The second one is to use covalent inhibitors, which will destroy S1 by acting as a projective quantum measurement. Finally, the conjecture that S1 is a quantum bio-robot is formulated.

我们将SARS-CoV-2糖蛋白Spike与人类宿主细胞受体ACE2之间的结合描述为一个量子电路,包括执行Spike蛋白S1亚基量子叠加的单量子比特Hadamard量子逻辑门,以及执行Spike-量子比特S1与ACE2受体蛋白之间最大纠缠的双量子比特量子逻辑门CNOT。此外,我们考虑了两种策略来阻止Spike-qubit S1与ACE2受体之间的结合过程。第一种是竞争性拟肽抑制剂的使用,这种抑制剂可以选择性地结合到Spike糖蛋白的受体结合域(RBD)上,其亲和力远高于细胞表面受体本身。这些抑制剂针对CNOT量子逻辑门,并将最大限度地与S1量子比特纠缠,以代替天然ACE2受体。第二种是使用共价抑制剂,它将通过充当投影量子测量来破坏S1。最后,提出了S1是量子生物机器人的猜想。
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引用次数: 1
Quantum image representation: a review 量子图像表示:综述
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-12-26 DOI: 10.1007/s42484-022-00089-7
M. Lisnichenko, Stanislav Protasov
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引用次数: 4
An invitation to distributed quantum neural networks 分布式量子神经网络的邀请
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-14 DOI: 10.1007/s42484-023-00114-3
Lirande Pira, C. Ferrie
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引用次数: 1
The effect of the processing and measurement operators on the expressive power of quantum models 处理和测量算子对量子模型表达能力的影响
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-06 DOI: 10.1007/s42484-023-00109-0
A. Gratsea, Patrick Huembeli
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引用次数: 2
Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints 更正:用于具有硬约束的量子优化的Mixer‑phaser ansätze
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-10-26 DOI: 10.1007/s42484-022-00085-x
Ryan LaRose, Eleanor Riefel, D. Venturelli
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引用次数: 3
Computational complexity in high-dimensional quantum computing 高维量子计算中的计算复杂性
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-09-12 DOI: 10.1007/s42484-022-00084-y
K. Nagata, Do Ngoc Diep, Tadao Nakamura
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引用次数: 1
Decohering tensor network quantum machine learning models 退相干张量网络量子机器学习模型
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-09-02 DOI: 10.1007/s42484-022-00095-9
Haoran Liao, Ian Convy, Zhibo Yang, K. B. Whaley
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引用次数: 4
Non-IID quantum federated learning with one-shot communication complexity 具有一次性通信复杂性的非IID量子联合学习
IF 4.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-09-02 DOI: 10.1007/s42484-022-00091-z
Haimeng Zhao
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引用次数: 4
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Quantum Machine Intelligence
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