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WARF: P190053US01

Simplified Optical Traps for Quantum Computing


INVENTORS -

Mark Saffman

The Wisconsin Alumni Research Foundation (WARF) is supporting the development of optical traps for neutral atom quantum computing. This technology simplifies the apparatus for particle trapping and is expected to reduce the cost and complexity of quantum computing devices.
OVERVIEWQuantum computing is expected to revolutionize the field of computation and provide major improvements for optimization, modeling and cryptography. Over the course of decades, different methods to make a functional quantum supercomputer have emerged, all with various advantages and at different stages of development. One method, neutral atom quantum computing, is based on atomic particles confined and controlled by optical traps created by lasers.

To date, solutions to implement optical traps are highly complex and present inherent control problems during scale-up. As tech giants and startups continue to advance in this space, there is strong interest in making optical confinement techniques more stable and scalable, and reducing crosstalk among trapped particles.
THE INVENTIONA UW–Madison researcher has developed a novel method and hardware to create optical traps for neutral atom quantum computing. The new design is a simple yet efficient method for creating large arrays of bright or dark optical patterns for particle trapping and for arrays of atomic qubits for quantum computing.

Rather than using a relatively complex arrangement of optical elements, the new approach requires only lenses and circular apertures. Compared to prior designs, this approach is cheaper to implement and has improved technical characteristics for efficient utilization of laser light and improved localization of the trapped particles.
BUSINESS OPPORTUNITYThe market for quantum computers is expected to grow to $160.8M by 2022 and $1.34B by 2027. Experts believe that this year, quantum computers will achieve "quantum supremacy," where quantum computers will solve problems considered too difficult for conventional computer systems. Other major announcements include that Rigetti is planning to build a 128-qubit quantum computer processor and that Google currently has a 72-qubit processor. According to Frost & Sullivan, private investors have invested over $1.15B into quantum computing.

This technology improves and simplifies the apparatus for particle trapping, which will reduce the cost and complexity of quantum computing devices.
APPLICATIONS
  • Quantum computer hardware, simulation experiments, atomic clocks and sensors
KEY BENEFITS
  • Potential to improve the performance of quantum computers and sensors
  • Simpler and easier to implement than prior technology
  • Traps are more stable, effective and efficient.
  • Requires less power to trap each particle
  • Robust and less susceptible to source phase noise
ADDITIONAL INFORMATION
For More Information About the Inventors
Contact Information
For current licensing status, please contact Emily Bauer at emily@warf.org or 608-960-9842.
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