Dual-Type Qubit System Spectral Crosstalk Elimination

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current dual-type qubit systems face challenges in eliminating crosstalk errors, which are caused by identical ancillary and data qubits leading to information loss and decoherence in quantum computing and quantum networks.

Innovation Solution

A dual-type qubit system is implemented using the same species of ions with at least two sets of long-lived energy levels, where ancillary qubits operate on one set of energy levels and data qubits on another, spectrally separated set, allowing for coherent conversion between the two types of qubits without spatial movement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If ancillary qubits and data qubits are identical (same ion species and state), then the system structure is simple and operations are easy, but crosstalk errors occur during cooling and measurement operations leading to information loss

Engineering Contradiction:
Improvequbit system structureVSAvoidquantum information coherence
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent applies local quality by assigning different functional properties to different qubits within the same system. Specifically, ancillary qubits are designated for operations (cooling, measurement, entanglement generation) while data qubits are designated for information storage, creating localized functional differentiation that eliminates crosstalk errors while maintaining system coherence

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the qubit population into distinct functional groups: ancillary qubits (for operations) and data qubits (for information storage). This segmentation allows independent optimization of each group's function and prevents operational disturbances from affecting the other group, thereby resolving the crosstalk problem

Inventive Principle:
Principle #1Segmentation

2Temperature

If continuous cooling is applied to maintain low temperature, then thermal stability is improved, but dissipative cooling causes information loss

Engineering Contradiction:
Improvethermal stabilityVSAvoidquantum information coherence
Core Design Contradiction:
TemperatureVSLoss of information

Solution Approach 1:

The patent introduces ancillary qubits as intermediary elements that absorb the dissipative effects of cooling operations. These ancillary qubits act as mediators between the cooling mechanism and the data qubits, allowing thermal management without directly exposing the information-carrying data qubits to cooling-induced decoherence

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent extracts the cooling function from the data qubits and assigns it to ancillary qubits. By separating the cooling operation from the information storage function, the system can maintain thermal stability while preventing information loss that would occur if data qubits were directly subjected to dissipative cooling

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If repetitive measurement of ancillary qubits is performed for error correction, then error detection capability is improved, but decoherence on nearby data qubits occurs leading to quantum computing failure

Engineering Contradiction:
Improveerror detection capabilityVSAvoidquantum computing process
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent applies local quality by designating specific qubits (ancillary) for measurement operations while protecting other qubits (data) from measurement-induced decoherence. This localized functional assignment allows repetitive error correction measurements on ancillary qubits without compromising the coherence of data qubits

Inventive Principle:
Principle #3Local quality

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

This approach efficiently eliminates crosstalk errors by ensuring that operations on ancillary qubits do not disturb data qubits, thereby protecting quantum information and enhancing the scalability of quantum networks.

Implementation Method 1

With spectral separation between different types of qubits, dual-type qubit system is useful to eliminate crosstalk error in trapped ion systems

Methodology Applied
Scientific EffectSpectral separation:

Implementation Method 2

the ion is excited by laser light to the upper energy level|e. Then the ion spontaneously decays to the lower energy levels with photon emitted

Methodology Applied
Scientific EffectSpontaneous emission:

Implementation Method 3

the entanglement between ion A and Photon 1 and that between ion B and Photon 2 are constructed first

Methodology Applied
Scientific EffectIon-photon entanglement:

Implementation Method 4

the photon state of Photon 1 and Photon 2 are jointly measured (for example, by subjecting Photon 1 and Photon 2 to interfere on a non-polarizing beam splitter)

Methodology Applied
Scientific EffectPhoton interference: Interference

Implementation Method 5

A practical cooling method is sympathetic cooling, in which ancillary qubits are laser cooled

Methodology Applied
Scientific EffectLaser cooling:

Implementation Method 6

data qubits are sympathetic cooled mediated by the interplay between ancillary qubits and the data qubits

Methodology Applied
Scientific EffectSympathetic cooling:

Data Source

PatentUS12314814B2Dual-type qubits system, quantum network and construction method thereof
Publication Date: 2025.05.27 TSINGHUA UNIVERSITY
  • US12314814B2 patent drawing
  • US12314814B2 patent drawing
  • US12314814B2 patent drawing

AI summary

A dual-type qubit system, a quantum network based on the dual-type qubit system and a construction method thereof are provided. The dual-type qubit system includes two types of qubits. The two types of qubits, with different functions, are implemented by the same species of ions. The ion has at least two sets of long-lived energy levels. The two types of qubits, carried by spectrally different sets of long-lived energy levels of the ions, are convertible to each other.