Auto-calibrating mixers in a quantum orchestration platform

US12314815B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12314815-B2
Application numberUS-202217682130-A
CountryUS
Kind codeB2
Filing dateFeb 28, 2022
Priority dateFeb 28, 2022
Publication dateMay 27, 2025
Grant dateMay 27, 2025

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  5. First independent claim

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Abstract

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This disclosure describes an auto-calibration of mixers in a quantum orchestration platform. Predistortion is computed according to an RF signal that is downconverted with a local oscillator tone that is offset from an upconverter tone. Three tones present in the original RF signal are distinguished and used to construct a cost function. The minimization of the cost function is used to cancel an unwanted LO leakage and an image tone. Because the quantum orchestration platform generates both the unconverted IQ signals and the cost function for their optimization, the optimization can be performed in real time inside a single device without the need to communicate with external devices. This allows for the optimization of single sideband upconverted signals in a fraction of the time it typically takes using distributed systems employing separate waveform generators and spectrum analyzers.

First claim

Opening claim text (preview).

What is claimed is: 1. A system, the system comprising: a signal generator configured to generate an in-phase (I) signal and a quadrature-phase (Q) signal, wherein the I signal and the Q signal are at an intermediate frequency (IF); a first mixer configured to mix the I signal and the Q signal with a local oscillator (LO) signal to produce a radio frequency (RF) signal, wherein the RF signal is sent to a quantum element; a second mixer configured to mix a portion of the RF signal with a tone offset from the LO signal to produce a baseband signal; and a signal analyzer configured to determine an adjustment to one or both of the I signal and the Q signal according to the baseband signal, wherein: the adjustment modifies the RF signal sent to the quantum element, the system comprises a quantum refrigerator configured to receive the RF signal and operable to generate a refrigerator response, and the second mixer is operable to switch between downconverting the portion of the RF signal and downconverting the quantum refrigerator response. 2. The system of claim 1 , wherein a quantum orchestration platform comprises the signal generator and the signal analyzer. 3. The system of claim 1 , wherein a quantum orchestration platform comprises the first mixer and the second mixer. 4. The system of claim 1 , wherein the signal analyzer is operable to determine a DC offset adjustment according to an LO leakage estimate and a history of LO leakage estimates. 5. The system of claim 4 , wherein the DC offset is applied, via the signal generator, to one or both of the I signal and the Q signal. 6. The system of claim 1 , wherein the signal analyzer is operable to determine a gain adjustment and a phase adjustment according to an image estimate and a history of image estimates. 7. The system of claim 6 , wherein the gain adjustment and the phase adjustment are applied, via the signal generator, to one or both of the I signal and the Q signal. 8. The system of claim 1 , wherein signal analyzer is configured to determine a transfer function of the quantum refrigerator according to a downconverted portion of the RF signal and a downconverted quantum refrigerator response. 9. A method, the method comprising: generating an in-phase (I) signal and a quadrature-phase (Q) signal, wherein the I signal and the Q signal are at an intermediate frequency (IF); mixing, via a first mixer, the I signal and the Q signal with a local oscillator (LO) signal to produce a radio frequency (RF) signal; sending the RF signal to a quantum element; mixing, via a second mixer, a portion of the RF signal with a tone offset from the LO signal to produce a baseband signal; determining an adjustment to one or both of the I signal and the Q signal according to the baseband signal; sending the RF signal to a quantum refrigerator; generating a refrigerator response; and mixing the refrigerator response, via the second mixer, to produce a modified baseband signal. 10. The method of claim 9 , wherein a quantum orchestration platform is operable to generate the I signal and the Q signal. 11. The method of claim 9 , wherein a quantum orchestration platform comprises the first mixer and the second mixer. 12. The method of claim 9 , wherein determining an adjustment comprises determining a DC offset adjustment according to an LO leakage estimate and a history of LO leakage estimates. 13. The method of claim 12 , wherein generating the I signal and the Q signal comprises adding the DC offset to one or both of the I signal and the Q signal. 14. The method of claim 9 , wherein determining an adjustment comprises determining a gain adjustment and a phase adjustment according to an image estimate and a history of image estimates. 15. The method of claim 14 , wherein generating the I signal and the Q signal comprises applying the gain adjustment and the phase adjustment to one or both of the I signal and the Q signal. 16. The method of claim 9 , wherein the method comprises: determining a transfer function of the quantum refrigerator according to the baseband signal and the modified baseband signal.

Assignees

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Classifications

  • G06N10/40Primary

    Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control · CPC title

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Frequently asked questions

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What does patent US12314815B2 cover?
This disclosure describes an auto-calibration of mixers in a quantum orchestration platform. Predistortion is computed according to an RF signal that is downconverted with a local oscillator tone that is offset from an upconverter tone. Three tones present in the original RF signal are distinguished and used to construct a cost function. The minimization of the cost function is used to cancel a…
Who is the assignee on this patent?
Quantum Machines, Q M Tech Ltd
What technology area does this patent fall under?
Primary CPC classification G06N10/40. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 27 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).