Northrop Grumman has been granted a patent for a reciprocal quantum logic (RQL) bias-level sensor that utilizes a stack of DC SQUIDs to measure and calibrate AC and DC bias signals. The sensor outputs a voltage signal indicative of bias parameter optimization, enhancing RQL circuitry performance. GlobalData’s report on Northrop Grumman gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Northrop Grumman, Superconducting quantum circuits was a key innovation area identified from patents. Northrop Grumman's grant share as of June 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Rql bias-level sensor for measuring bias parameters
The patent US12045692B2 describes a reciprocal quantum logic (RQL) bias-level sensor designed to measure and output voltage signals that vary based on bias parameters, such as AC bias amplitude or DC bias value. The sensor comprises a stack of direct current superconducting quantum interference devices (DC SQUIDs), each featuring a superconducting loop with two Josephson junctions (JJs). These DC SQUIDs are transformer-coupled to respective Josephson transmission lines (JTLs) that receive flux from a bias signal source. The configuration allows the sensor to output a voltage signal between its terminals that reflects changes in at least one bias parameter, enhancing the precision of measurements in RQL systems.
Additionally, the patent outlines a system that incorporates multiple instances of the RQL bias-level sensor, with outputs connected to bias parameter adjustment logic. This logic is responsible for adjusting the bias parameters of clock signals provided to the RQL system, ensuring optimal performance. The system can include complementary metal-oxide-semiconductor (CMOS) logic located outside the cryogenic environment where the sensors operate. The method described in the patent involves driving multiple RQL bias parameter sensors with AC clock bias signals that are phase-shifted relative to one another, allowing for comparative analysis and adjustments to the signals based on their outputs. This innovative approach aims to improve the accuracy and efficiency of bias signal adjustments in quantum computing applications.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
