Quantum Simulation with Trapped Ions in a Gradient Field

  • Yeda
  • From Israel
  • Responsive
  • Patents for licensing

Summary of the technology

Progress in a broad range of scientific and technological fields is hampered by the difficulty of understanding and predicting the behavior of highly complex systems. Simulating the behavior of these systems is difficult with classical computers but can be performed efficiently using quantum simulators. Currently, the scope of models which such simulators can accommodate with current techniques is restricted because of limitations in managing and configuring the ion chain. We have developed a novel technique for quantum simulation which significantly increase the range of models that can be implemented on a quantum simulator.


The Need

Quantum simulators are highly controlled quantum machines with which it is possible to engineer and study complex quantum states and dynamics. Such machines, when large and accurate enough, are expected to elucidate the behavior of quantum systems that defy analytical treatment and are intractable for classical numerical simulations1. Although quantum simulation is related to quantum computing, it is far easier and less costly to implement in many practical applications. Quantum simulation offers reduced system complexity, avoids the high engineering cost of universal gates and fault tolerant architecture to compensate for fidelity loss, uses much smaller qubit arrays, and does not require the development and debugging of complex algorithms in order to represent target models accurately and faithfully. The leading platform for quantum simulations is a chain of ions in a linear radio-frequency trap. However, a wide range of quantum models and phenomena have, so far, remained beyond the reach of such simulators because of limitations in managing and configuring the ion chain. For example, linear trapped ion simulators lack the ability to simulate magnetic flux, an important factor in many interactions and physical phenomena.

The Solution

Prof. Roee Ozeri and his team developed a novel method for quantum simulation with a chain of ions in a linear RF trap which expands the range of models that can be quantum-simulated.

Technology Essence

Current methods allow for interaction only between two adjacent ions limiting the flexibility and potential complexity of calculations. Prof. Roee Ozeri and his team invented a technique that will allow more complex interactions of also non-adjacent ions, enhancing the calculation possibilities of the system in a controlled manner by applying a magnetic field. The heart of this technique is the addition of an external field gradient in combination with specific laser spectral content, which together modify the ion array and/or the interaction of the laser with the ion array in a particular way that benefits quantum simulation. This technique can be used also to generate both static and time varying synthetic gauge fields in a linear chain of trapped ions and enables continuous simulation of a variety of coupling geometries and topologies, including periodic boundary conditions and high-dimensional Hamiltonians.


  • Atomic and molecular physics.
  • Chemistry - molecular simulations and drug discovery.

Material engineering.


  • Enables scientists and developers to understand the molecular formations that underly chemical and drug discovery.
  • Expands the range of molecules available for simulation with trapped ion platforms.
  • Solves optimization problems, which are prevalent in many technological applications.
  • Simulates complex quantum phenomena in condensed matter, high energy, chemical, atomic and molecular physics.

Development Status

Currently, the idea is theoretical. Validations and proof of-principle experiments will be executed within the next few months.

Market Opportunity

Successful marketing of quantum computers and quantum simulators will likely have large benefits. Relevant markets and potential clients are the academia for developed technology, and companies that are developing quantum simulator in the ion trap technology (such as Honeywell ionQ and Infineon).


Feynman R. P., (1982). Simulating physics with computers. Int. J. Theor. Phys. 21, 467 DOI: 10.1007/BF02650179
Manovitz, T., Shapira, Y., Akerman, N., Stern, A., & Ozeri, R. (2020). Quantum simulations with complex geometries and synthetic gauge fields in a trapped ion chain. PRX Quantum, 1(2), 020303.? DOI: 10.1103/PRXQuantum.1.020303 [2]

Intellectual property status

  • Granted Patent
  • Patent application number :PCT Published: Publication Number: WO 2021/245666

Related Keywords

  • Electronics, IT and Telecomms
  • Electronics, Microelectronics
  • IT and Telematics Applications
  • Quantum Informatics
  • Physical Sciences and Exact Sciences
  • Other

About Yeda

Yeda ("Knowledge" in Hebrew) Research and Development Company Ltd. is the commercial arm of the Weizmann Institute of Science (WIS) and is the second company of its kind established in the world.

WIS is one of the world’s leading multidisciplinary basic research institutions in the natural and exact sciences. It is located in Rehovot, Israel, just south of Tel Aviv. It was initially established as the Daniel Sieff Institute in 1934, by Israel and Rebecca Sieff of London in memory of their son Daniel. In 1949, it was renamed for Dr. Chaim Weizmann, the first President of the State of Israel and Founder of the Institute.

Yeda initiates and promotes the transfer to the global marketplace of research findings and innovative technologies developed by WIS scientists. Yeda holds an exclusive agreement with WIS to market and commercialize its intellectual property and generate income to support further research and education.

Since 1959 Yeda has generated the highest income per researcher compared to any other TTO worldwide. Weizmann has generated a number of groundbreaking therapies, such as Copaxone, Rebif, Tookad, Erbitux, Vectibix, Protrazza, Humira, and recently the CAR-T cancer therapy Yescarta.

Yeda performs the following activities:

◣ Identifies and assesses research projects with commercial potential.
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