Skip to content

Quantum Computing News

Latest quantum computing, quantum tech, and quantum industry news.

  • Tutorials
    • Rust
    • Python
    • Quantum Computing
    • PHP
    • Cloud Computing
    • CSS3
    • IoT
    • Machine Learning
    • HTML5
    • Data Science
    • NLP
    • Java Script
    • C Language
  • Imp Links
    • Onlineexams
    • Code Minifier
    • Free Online Compilers
    • Maths2HTML
    • Prompt Generator Tool
  • Calculators
    • IP&Network Tools
    • Domain Tools
    • SEO Tools
    • Health&Fitness
    • Maths Solutions
    • Image & File tools
    • AI Tools
    • Developer Tools
    • Fun Tools
  • News
    • Quantum Computer News
    • Graphic Cards
    • Processors
  1. Home
  2. Quantum Computing
  3. Silicon Chips Use Conveyor Belt Qubits for Teleportation
Quantum Computing

Silicon Chips Use Conveyor Belt Qubits for Teleportation

Posted on May 10, 2026 by RAMESH AGARAPU4 min read
Silicon Chips Use Conveyor Belt Qubits for Teleportation

Scientists Reach High-Fidelity Logic and Teleportation in Silicon Chips with a Quantum “Conveyor Belt” Innovation

Researchers at QuTech, a partnership between the Delft University of Technology and TNO, have demonstrated a revolutionary approach to quantum computing by executing high-fidelity logic operations and quantum teleportation using mobile electron spin qubits. This advancement addresses one of the main challenges in quantum engineering: the limitations of traditional, static qubit designs. The group successfully transported quantum states over a distance of 320 nanometers and attained two-qubit gate fidelities of about 99% by using a “conveyor belt” for electrons.

Overcoming the Distance Problem

Static qubits, which can only communicate with their immediate neighbors, are commonly used in conventional solid-state quantum computers. This “nearest-neighbour” constraint restricts the flexibility of the processor’s structure and adds significant complexity for quantum error correction. The Delft team, lead by Lieven Vandersypen, Maxim De Smet, and Yuta Matsumoto, used the idea of mobile qubits to address this.

To move individual electrons across a silicon chip, the researchers employed a method called conveyor-mode shuttling. This technique creates a travelling wave potential that transports the electron spin like a passenger on a conveyor belt by applying phase-shifted sinusoidal voltages to a number of gate electrodes. This made it possible for the researchers to transfer qubits from designated storage areas to particular “interaction zones” where logic operations are carried out.

A Novel Approach to Mobile Logic

The demonstration of two-qubit logic gates applied directly to these moving spins is the study’s main innovation. The scientists initiated a controlled exchange contact by simultaneously moving two electron spins in the direction of each other until their wavefunctions intersected. With an average fidelity of 98.86%, they successfully developed a conditional-Z (CZ) gate, a key component of quantum algorithms.

This gate takes only 58 nanoseconds to complete, despite the qubits’ initial distance from one another being 270 nanometers, or four quantum dots. The team used “motional narrowing,” a phenomenon where the fast movement of the qubit through various local magnetic environments actually averages out noise, thereby extending the qubit’s coherence time compared to a stationary position, to preserve the delicate quantum information during this transit.

Teleporting Across the Chip

The researchers performed quantum state teleportation, which goes beyond local logic and involves transferring a qubit’s information to another distant qubit without actually moving the physical particle. To do this, two mobile qubits (Q2 and Q5) were initially entangled in a “Bell pair” before being separated.

Over a distance of 320 nanometers, or five quantum dots, the researchers transported the state of a third qubit (Q6) to the now-distant Q2. The protocol demonstrated that the information transmission was truly quantum in nature by achieving a conditional post-selected fidelity of 87%, which was far higher than the “classical limit” of 66.7%. For distributed quantum computing, where several processing components must quickly exchange information without being physically close to one another, this feature is crucial.

Silicon: The Frontier in Scalability

The device’s isotopically pure silicon-28 heterostructure was chosen for its ability to provide a “clean” environment for qubits. Because silicon is compatible with current semiconductor manufacturing processes used to create contemporary computer chips, it is very appealing to the industry.

By proving that movable qubits can maintain high fidelity, the QuTech team has developed a model for reconfigurable quantum computers. In such a system, the hardware’s connection is not set; rather, the processor’s “wiring” may be altered instantly by moving electrons to other places to execute various codes or algorithms.

You can also read Terra Quantum Company Defense Deal Leads to Nasdaq Listing

The Path to Large-Scale Processors

The present experiment employed a linear array of six quantum dots, but the researchers want to use a “spiderweb” of conveyor belts in the future. Future versions will concentrate on improving non-demolition readout techniques to enable “deterministic” teleportation that operates consistently without the need for post-selection, as well as long-distance transmission using common control lines to simplify the wiring.

“Operations on mobile qubits will become a universal feature of future large-scale semiconductor quantum processors,” the scientists say. This development represents a move away from static, grid-like processors and toward dynamic, fluid designs that may eventually realize the potential of fault-tolerant quantum computing.

You can also read FormFactor quantum on May 11, 2026 Nasdaq MarketSite events

Tags

Conveyor Belt Qubitsconveyor-mode shuttlingMobile qubitsQuantum teleportationSilicon ChipSilicon Quantum Chip

Written by

RAMESH AGARAPU

Post navigation

Previous: Hefei team shows a 14.5-km bell-verified quantum repeater
Next: Quantum Architecture Search QAS by MicroAlgo Company

Keep reading

Infleqtion at Canaccord Genuity Conference Quantum Symposium

Infleqtion at Canaccord Genuity Conference Quantum Symposium

4 min read
Quantum Heat Engine Built Using Superconducting Circuits

Quantum Heat Engine Built Using Superconducting Circuits

4 min read
Relativity and Decoherence of Spacetime Superpositions

Relativity and Decoherence of Spacetime Superpositions

4 min read

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Categories

  • Infleqtion at Canaccord Genuity Conference Quantum Symposium Infleqtion at Canaccord Genuity Conference Quantum Symposium May 17, 2026
  • Quantum Heat Engine Built Using Superconducting Circuits Quantum Heat Engine Built Using Superconducting Circuits May 17, 2026
  • Relativity and Decoherence of Spacetime Superpositions Relativity and Decoherence of Spacetime Superpositions May 17, 2026
  • KZM Kibble Zurek Mechanism & Quantum Criticality Separation KZM Kibble Zurek Mechanism & Quantum Criticality Separation May 17, 2026
  • QuSecure Named 2026 MIT Sloan CIO Symposium Innovation QuSecure Named 2026 MIT Sloan CIO Symposium Innovation May 17, 2026
  • Nord Quantique Hire Tammy Furlong As Chief Financial Officer Nord Quantique Hire Tammy Furlong As Chief Financial Officer May 16, 2026
  • VGQEC Helps Quantum Computers Learn Their Own Noise Patterns VGQEC Helps Quantum Computers Learn Their Own Noise Patterns May 16, 2026
  • Quantum Cyber Launches Quantum-Cyber.AI Defense Platform Quantum Cyber Launches Quantum-Cyber.AI Defense Platform May 16, 2026
  • Illinois Wesleyan University News on Fisher Quantum Center Illinois Wesleyan University News on Fisher Quantum Center May 16, 2026
View all
  • NSF Launches $1.5B X-Labs to Drive Future Technologies NSF Launches $1.5B X-Labs to Drive Future Technologies May 16, 2026
  • IQM and Real Asset Acquisition Corp. Plan $1.8B SPAC Deal IQM and Real Asset Acquisition Corp. Plan $1.8B SPAC Deal May 16, 2026
  • Infleqtion Q1 Financial Results and Quantum Growth Outlook Infleqtion Q1 Financial Results and Quantum Growth Outlook May 15, 2026
  • Xanadu First Quarter Financial Results & Business Milestones Xanadu First Quarter Financial Results & Business Milestones May 15, 2026
  • Santander Launches The Quantum AI Leap Innovation Challenge Santander Launches The Quantum AI Leap Innovation Challenge May 15, 2026
  • CSUSM Launches Quantum STEM Education With National Funding CSUSM Launches Quantum STEM Education With National Funding May 14, 2026
  • NVision Quantum Raises $55M to Transform Drug Discovery NVision Quantum Raises $55M to Transform Drug Discovery May 14, 2026
  • Photonics Inc News 2026 Raises $200M for Quantum Computing Photonics Inc News 2026 Raises $200M for Quantum Computing May 13, 2026
  • D-Wave Quantum Financial Results 2026 Show Strong Growth D-Wave Quantum Financial Results 2026 Show Strong Growth May 13, 2026
View all

Search

Latest Posts

  • Infleqtion at Canaccord Genuity Conference Quantum Symposium May 17, 2026
  • Quantum Heat Engine Built Using Superconducting Circuits May 17, 2026
  • Relativity and Decoherence of Spacetime Superpositions May 17, 2026
  • KZM Kibble Zurek Mechanism & Quantum Criticality Separation May 17, 2026
  • QuSecure Named 2026 MIT Sloan CIO Symposium Innovation May 17, 2026

Tutorials

  • Quantum Computing
  • IoT
  • Machine Learning
  • PostgreSql
  • BlockChain
  • Kubernettes

Calculators

  • AI-Tools
  • IP Tools
  • Domain Tools
  • SEO Tools
  • Developer Tools
  • Image & File Tools

Imp Links

  • Free Online Compilers
  • Code Minifier
  • Maths2HTML
  • Online Exams
  • Youtube Trend
  • Processor News
© 2026 Quantum Computing News. All rights reserved.
Back to top