167 citations
- A. Melnikov3 profiles15 · h 10
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- Leibniz Institute for Solid State and Materials ResearchDE8 papers
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6 papers · 2 filters
Superior resilience of non-Gaussian entanglement against local Gaussian noises
Sergey Filippov, Alena Termanova
Entanglement distribution task encounters a problem of how the initial entangled state should be prepared in order to remain entangled the longest possible time when subjected to l…
An exponentially-growing family of universal quantum circuits
Mo Kordzanganeh, Pavel Sekatski, Leonid Fedichkin +1
Quantum machine learning has become an area of growing interest but has certain theoretical and hardware-specific limitations. Notably, the problem of vanishing gradients, or barre…
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms
Mohammad Kordzanganeh, Markus Buchberger, Basil Kyriacou +7
Powerful hardware services and software libraries are vital tools for quickly and affordably designing, testing, and executing quantum algorithms. A robust large-scale study of how…
Hybrid quantum neural network for drug response prediction
Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev +3
Cancer is one of the leading causes of death worldwide. It is caused by a variety of genetic mutations, which makes every instance of the disease unique. Since chemotherapy can hav…
Automated design of quantum optical experiments for device-independent quantum key distribution
Xavier Valcarce, Pavel Sekatski, Elie Gouzien +2
Device-independent quantum key distribution (DIQKD) reduces the vulnerability to side-channel attacks of standard QKD protocols by removing the need for characterized quantum devic…
Hybrid quantum ResNet for car classification and its hyperparameter optimization
Asel Sagingalieva, Mo Kordzanganeh, Andrii Kurkin +6
Image recognition is one of the primary applications of machine learning algorithms. Nevertheless, machine learning models used in modern image recognition systems consist of milli…