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Silicon spin qubits are a potential technology for the scalable implementation of quantum computers due to their smaller footprint and compatibility with industrial silicon manufacturing. With increas...
Many Quantum computer venders have already announced their R&D roadmap to realize large scale QC. For the realization of over-10,000 qubits system, it is impossible to expand existing system d...
The focus of this talk is on state-of-the-art techniques to improve the linearity-efficiency tradeoff in RF power amplifiers (PAs) excited by wideband signals. At first, an algorithm capable of genera...
Quantum computing can potentially outperform today’s most powerful supercomputers to solve certain important, complex problems related to materials, medicine, energy, and climate. One of the most prom...
Quantum computing applications which require deep-cryogenic temperatures introduce unique challenges to achieving high-density scalability of RF control, readout, and addressing circuitry needed for m...
One of the primary challenges hindering the upscaling of current quantum computing (QC) systems to several hundred or even thousand qubits lie in the task of addressing and controlling circuits. Yet, ...
Modern digital communications signals require transmitter linearity and typically have a high Peak to Average Power Ratio (PAPR), especially for wideband modulated signals. It is desirable to transmit...
mm-Wave has gained popularity due its wide bandwidth and smaller footprint. However, mm-wave designs have many challenges, especially for the design of wideband power amplifiers. For example, antenna ...
At the mm-wave frequency, the broad bandwidth spectrum challenges the RF circuits on the specification of the bandwidth, gain, and efficiency. Those are design art and trade-offs for the RF-FE circuit...
Supply modulation is a known method to improve the efficiency of amplifiers. But this efficiency improvement often comes at a cost of reduced linearity. This contribution will discuss PA design aspect...