Building a large-scale quantum computer requires the co-optimization of both the quantum bits (qubits) and their control electronics. By operating the CMOS control circuits at cryogenic temperatures (cryo-CMOS), and hence in close proximity to the cryogenic solid-state qubits, a compact quantumcomputing system can be achieved, thus promising scalability to the large number of qubits required in a practical application. This work presents a cryo-CMOS microwave signal generator for frequency-multiplexed control of 4 × 32 qubits (32 qubits per RF output). A digitally intensive architecture offering full programmability of phase, amplitude, and frequency
In distribution systems, the distributed generator is renowned as a feasible solution in order to control the line losses, voltage stability, and bus voltage, etc. This paper concentrates on an advanced technique in order to position the distributed generator. It is exploited for minimization of the energy loss and active power loss for the distribution lines when concerning the voltage stability index and bus voltage. Based on the optimal positioning and sizing of the DGs, the optimization is performed. Here, a hybrid ABC and Bat Algorithm (HABC-BA) is presented to solve the optimal distributed generators allocation issue of distribution networks. The proposed HABC-BA method experimented on standard 33-bus, 69bus in radial distribution networks to examine the possibility and efficiency. Hence, the experimental analysis shows that placement of distributed generators in the optimal position can extensively minimize the power loss in a DS Finally, the proposed method is compared with other meta-heuristic approaches such as GWO, WOA and PSO and the analysis exhibit that the proposed technique has the capability to find enhanced quality solutions.
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