A bifunctional superconducting cell as flux qubit and neuron

• Dmitrii S. Pashin,
• Pavel V. Pikunov,
• Marina V. Bastrakova,
• Andrey E. Schegolev,
• Nikolay V. Klenov and
• Igor I. Soloviev

Beilstein J. Nanotechnol. 2023, 14, 1116–1126, doi:10.3762/bjnano.14.92

• context, the desire of designers to find additional uses for multiple “auxiliary” interferometers on a chip is understandable. The least “noisy” option for building the bulk of such quantum computing systems is based on the concepts of adiabatic superconducting logic (ASL), which can operate at

• therefore say with confidence that the same cell can be used both as a classical adiabatic neuron and as a qubit whose state can be controlled with an infidelity of the order of 0.0001. Conclusion The simplest cell of adiabatic superconducting logic can function even in quantum mode as an element of tuning

• -type neural network to process signals received from qubits. Such a cell can be used in quantum mode also as an auxiliary qubit with relatively fast “flux” control. Future research will address the problem of using more advanced adiabatic superconducting logic cells for such purposes. In addition

A superconducting adiabatic neuron in a quantum regime

• Marina V. Bastrakova,
• Dmitrii S. Pashin,
• Dmitriy A. Rybin,
• Andrey E. Schegolev,
• Nikolay V. Klenov,
• Igor I. Soloviev,
• Anastasiya A. Gorchavkina and
• Arkady M. Satanin

Beilstein J. Nanotechnol. 2022, 13, 653–665, doi:10.3762/bjnano.13.57

• superconducting logic cells with magnetic representation of information [43][45][51]. Fortunately, there are already such elements based on an inductively shunted two-contact interferometer with the ability to adjust parameters. However, their behavior in the quantum mode requires an additional study. Funding The

• classical perceptron and a control quantum co-processor (designed for the rapid search of the perceptron synaptic weights) to work in a single chip in a millikelvin cryogenic stage of a cryocooler. For the practical implementation of such neural networks, we need synapses, which are also based on adiabatic

Controlling the proximity effect in a Co/Nb multilayer: the properties of electronic transport

• Sergey Bakurskiy,
• Mikhail Kupriyanov,
• Nikolay V. Klenov,
• Igor Soloviev,
• Andrey Schegolev,
• Roman Morari,
• Yury Khaydukov and
• Anatoli S. Sidorenko

Beilstein J. Nanotechnol. 2020, 11, 1336–1345, doi:10.3762/bjnano.11.118

• investigate neural networks (and primarily synapses) with an ultra-small energy dissipation. That was done based on adiabatic superconducting logic cells with the presentation of information in the form of magnitudes and directions of currents in the superconducting circuits [17][18][19]. The main problem in

Unipolar magnetic field pulses as an advantageous tool for ultrafast operations in superconducting Josephson “atoms”

• Daria V. Popolitova,
• Nikolay V. Klenov,
• Igor I. Soloviev,
• Sergey V. Bakurskiy and
• Olga V. Tikhonova

Beilstein J. Nanotechnol. 2019, 10, 1548–1558, doi:10.3762/bjnano.10.152

• picosecond time scale. The experimental realization of a circuit-on-chip for the discussed ultrafast control is presented. Keywords: adiabatic superconducting logic; Josephson “atoms”; quantum-state-control; superconducting qubits; ultrafast quantum operations; Introduction One of the main problems of

• keeping them thermally isolated. On the other hand, the formation of a picosecond control pulse with appropriate parameters becomes a sophisticated problem here that requires advanced high-frequency design and was not addressed yet. A simpler solution could be utilization of adiabatic superconducting

• logic (ASL) circuits broadly used, e.g., to control qubits in D-Wave Systems quantum processors [32]. While ASL circuits are distinguished by their ultimate energy efficiency, the shape of the magnetic signal transferred by ASL transmission line can be easily tuned in situ. In comparison with a