We plan to present a technique for implementing a frequency doubler in NbTiN on silicon for operation in a cryogenic environment at IMS 2024. The kinetic inductance of a superconducting coplanar waveguide is exploited for efficient frequency conversion, while the fabrication allows for co-location with other cryogenic circuits. A conversion efficiency greater than 10% is demonstrated at a frequency of 9.87 GHz, offering lower input power requirements and competitive conversion efficiencies relative to other state-of-the-art solutions. This dataset contains information related to this presentation, specifically: (Fig. 2) Simulated conversion efficiency result, (Fig. 4) 2nd and 3rd order harmonic conversion efficiency data with input RF power ranging from (3 to 7), and (Fig. 5) second harmonic power as a function of dc bias current.

These data will appear in [1]. The abstract for that paper is given below:We report on the design, fabrication, and measurement of a Very High Frequency band Josephson Arbitrary Waveform Synthesizer (VHF-JAWS) at frequencies from 1~kHz to 50.05~MHz. The VHF-JAWS chip is composed of a series array of 12,810 Josephson junctions (JJs) embedded in a superconducting coplanar waveguide. Each JJ responds to a pattern of current pulses by creating a corresponding pattern of voltage pulses, each with a time-integrated area related to fundamental constants as $ extit{ extbf{h/2e}}$. The pulse patterns are chosen to produce quantum-based single-tone voltage waveforms with an open-circuit voltage of 50~mV~rms (\mbox{-19.03~dBm} output power into 50~$\Omega$ load impedances) at frequencies up to 50.05~MHz, which is more than twice the voltage that has been generated by previous RF-JAWS designs at 1~GHz. The VHF-JAWS is "quantum-locked", that is, it generates one quantized output voltage pulse per input current pulse per JJ while varying the dc current through the JJ array by at least 0.4~mA and the amplitude of the bias pulses by at least 10~\%. We use the large bias pulse quantum-locking range to investigate one source of error in detail: the direct feedthrough of the current bias pulses into the DUT at VHF frequencies. We reduce this error by high-pass filtering the current bias pulses and measure the error as a function of input pulse amplitude using two techniques: by measuring small changes over the quantum-locking range and by passively attenuating the input pulse amplitude so that the nonlinear JJs no longer generate voltage pulses while the error is only linearly scaled.

These data will appear in [1]. The abstract for that paper is given below:We report on the design, fabrication, and measurement of a Very High Frequency band Josephson Arbitrary Waveform Synthesizer (VHF-JAWS) at frequencies from 1~kHz to 50.05~MHz. The VHF-JAWS chip is composed of a series array of 12,810 Josephson junctions (JJs) embedded in a superconducting coplanar waveguide. Each JJ responds to a pattern of current pulses by creating a corresponding pattern of voltage pulses, each with a time-integrated area related to fundamental constants as $ extit{ extbf{h/2e}}$. The pulse patterns are chosen to produce quantum-based single-tone voltage waveforms with an open-circuit voltage of 50~mV~rms (\mbox{-19.03~dBm} output power into 50~$\Omega$ load impedances) at frequencies up to 50.05~MHz, which is more than twice the voltage that has been generated by previous RF-JAWS designs at 1~GHz. The VHF-JAWS is "quantum-locked", that is, it generates one quantized output voltage pulse per input current pulse per JJ while varying the dc current through the JJ array by at least 0.4~mA and the amplitude of the bias pulses by at least 10~\%. We use the large bias pulse quantum-locking range to investigate one source of error in detail: the direct feedthrough of the current bias pulses into the DUT at VHF frequencies. We reduce this error by high-pass filtering the current bias pulses and measure the error as a function of input pulse amplitude using two techniques: by measuring small changes over the quantum-locking range and by passively attenuating the input pulse amplitude so that the nonlinear JJs no longer generate voltage pulses while the error is only linearly scaled.

Most data generated are averaged heterodyne IQ voltages of a reflectometry of a superconducting cavity dispersively coupled to a transmon qubit, where the phase shift of the cavity probe tone is used to infer the qubit state. These data are collected while performing various parameter sweeps to track the qubit state evolution in response to various stimuli.There is also simulation data used to model qubit state evolution when driven with digital pulses.

Most data generated are averaged heterodyne IQ voltages of a reflectometry of a superconducting cavity dispersively coupled to a transmon qubit, where the phase shift of the cavity probe tone is used to infer the qubit state. These data are collected while performing various parameter sweeps to track the qubit state evolution in response to various stimuli.There is also simulation data used to model qubit state evolution when driven with digital pulses.

This is the dataset for 4 publishable figures in 2 page abstracted titled "Josephson arbitrary waveform synthesizer for ac voltage calibrations" submitted to the Conference on Precision Electromagnetic Measurements, CPEM 2022. QLR=Quantum Locking Range.Fig. 1. QLR (2 V rms waveforms) as a function of the dc bias current offset in all 4 arrays of Bias 1.Fig. 2. QLR (2 V rms waveforms) as a function of the compensation current amplitude in all 4 arrays of Bias 1.Fig. 3. QLR (2 V rms waveform) as a function of the pulse amplitude on Bias 1 or Bias 2 high-speed current pulse channel.Fig. 4. QLR (2 V rms waveforms) as a function of the compensation current phase in all 4 arrays of Bias 1.

This is the dataset for 4 publishable figures in 2 page abstracted titled "Josephson arbitrary waveform synthesizer for ac voltage calibrations" submitted to the Conference on Precision Electromagnetic Measurements, CPEM 2022. QLR=Quantum Locking Range.Fig. 1. QLR (2 V rms waveforms) as a function of the dc bias current offset in all 4 arrays of Bias 1.Fig. 2. QLR (2 V rms waveforms) as a function of the compensation current amplitude in all 4 arrays of Bias 1.Fig. 3. QLR (2 V rms waveform) as a function of the pulse amplitude on Bias 1 or Bias 2 high-speed current pulse channel.Fig. 4. QLR (2 V rms waveforms) as a function of the compensation current phase in all 4 arrays of Bias 1.

This paper presents a 2 V programmable Josephson voltage standard with dual microwave frequency inputs and multiple output taps. The design provides three main features: (1) output voltages with nanovolt resolution, (2) the ability to perform a microwave frequency self-check based on a null voltage measurement, and (3) additional voltage output taps providing simultaneous 10:1 (or 5:1) divided voltage reference for resistive divider calibration. With low heat dissipation this device is well suited for implementation with a compact cryocooler as a turnkey traveling system.

This paper presents a 2 V programmable Josephson voltage standard with dual microwave frequency inputs and multiple output taps. The design provides three main features: (1) output voltages with nanovolt resolution, (2) the ability to perform a microwave frequency self-check based on a null voltage measurement, and (3) additional voltage output taps providing simultaneous 10:1 (or 5:1) divided voltage reference for resistive divider calibration. With low heat dissipation this device is well suited for implementation with a compact cryocooler as a turnkey traveling system.

The government, and particularly NSA, has a continuing need for ever-increasing computational power. The Agency is concerned about projected limitations of conventional silicon-based technology and is searching for possible alternatives to meet its future mission-critical computational needs. This document presents the results of a Technology Assessment, chartered by the Director of NSA, to assess the readiness of ultra-high-speed superconductive SC Rapid Single Flux Quantum RSFQ circuit technology for application to very-high-performance petaflops-scale computing systems...