Resistance Temperature Sensor Calibration for Laser Annealing Control

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Solution Overview

Problem

The challenge in quantum computing is controlling the transition frequencies of qubits accurately, particularly in superconducting quantum bits, due to frequency crowding and frequency collisions, which is influenced by the junction resistance of Josephson junctions, requiring precise control of laser annealing processes.

Innovation Solution

Calibration of thermal annealing processes using microfabricated resistance temperature sensors that emulate the geometric structure and resistance of Josephson junctions, allowing for precise measurement and simulation of thermal profiles to adjust laser parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If laser annealing is used to adjust junction resistance, then the transition frequency of qubits can be controlled, but the precision of temperature control during annealing is insufficient leading to frequency collisions

Engineering Contradiction:
Improvejunction resistance control precisionVSAvoidtemperature measurement precision
Core Design Contradiction:
Manufacturing precisionVSMeasurement precision

Solution Approach 1:

The patent introduces resistance temperature sensors as intermediary elements that indirectly measure the temperature experienced by Josephson junctions during laser annealing. These sensors are positioned near the junctions and their resistance changes provide information about the thermal history, enabling precise temperature control without directly measuring the junction temperature, thus resolving the measurement precision limitation

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements a feedback mechanism where the resistance of temperature sensors is continuously monitored during laser annealing, and this information is used to adjust laser power and exposure time in real-time. This closed-loop control ensures that the junction resistance reaches the target value with high precision, preventing frequency collisions in scaled quantum circuits

Inventive Principle:
Principle #23Feedback

2Productivity

If multiple qubits are scaled up in quantum circuits, then computing power increases, but frequency crowding and frequency collisions occur due to imprecise frequency control

Engineering Contradiction:
Improvequantum circuit scaling capabilityVSAvoidfrequency control accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent performs preliminary characterization of laser annealing effects on test structures before fabricating actual quantum circuits. By establishing the relationship between laser parameters and junction resistance in advance through systematic testing, the methodology enables precise frequency control to be built into the manufacturing process, ensuring reliability even as quantum circuits scale to hundreds or thousands of qubits

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent systematically varies laser annealing parameters (power, exposure time, wavelength) to map out the parameter space that produces desired junction resistances. This creates lookup tables or calibration curves that guide the annealing process for different target frequencies, enabling reliable frequency control across large numbers of qubits without manual tuning

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If laser parameters are precisely controlled to achieve target junction resistance, then manufacturing complexity increases

Engineering Contradiction:
Improvejunction resistance precisionVSAvoidlaser annealing process complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent uses simplified test structures that replicate the thermal and electrical characteristics of actual Josephson junctions during laser annealing. These test structures are easier to fabricate and measure, allowing the complex laser parameters to be optimized in advance. Once optimized, the same parameter sets are copied and applied to the actual quantum circuit fabrication, reducing the complexity of the main manufacturing process while maintaining high precision

Inventive Principle:
Principle #26Copying

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables accurate control of junction resistance and transition frequencies, reducing frequency collisions and improving the scalability of quantum computers by refining laser annealing techniques.

Implementation Method 1

determining a maximum temperature to which the resistance temperature sensor was exposed as a result of the first thermal anneal process, based on the measured first resistance

Methodology Applied
Scientific EffectTemperature coefficient of resistance: Thermo-resistive Effect

Implementation Method 2

performing a first thermal anneal process by irradiating the test structure using the selected laser beam illumination pattern at the first laser power setting to thermally anneal the resistance temperature sensor

Methodology Applied
Scientific EffectLaser heating: Laser

Data Source

PatentUS20260049873A1Thermal annealing calibration using microfabricated resistance temperature sensors
Publication Date: 2026.02.19 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US20260049873A1 patent drawing
  • US20260049873A1 patent drawing
  • US20260049873A1 patent drawing

AI summary

Techniques are provided for calibrating thermal annealing processes (e.g., laser annealing) using microfabricated resistance temperature sensors. For example, a device comprises a substrate, and a resistance temperature sensor disposed on the substrate. The resistance temperature sensor comprises a stack of alternating metal layers of a first metal and a second metal, wherein the first metal and the second metal are different types of metals.