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HyperXtract: Rapid, Memory-Efficient Data Extraction for Nanopore Data
TS-070331 — Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.
The Need Nanopore sensing is revolutionizing genomics, proteomics, and diagnostics, but the explosive growth in data volume has outpaced the capabilities of current analysis tools. Researchers often face bottlenecks due to slow processing speeds, memory limitations, and the need for specialized har…
  • College: College of Arts & Sciences
  • Inventors: Bandara, Nuwan
  • Licensing Officer: Panic, Ana

Quantum Leap: Revolutionizing Computing and Sensing with Modular Zero-Dimensional Tunnel Junction Devices
TS-065414 — The Need Innovations in the field of quantum information technology are paramount to addressing the escalating demand for advanced computational capabilities and sensitive sensor applications. As these new technologies are poised to disrupt traditional computing and sensing methodologies, there ari…
  • College: College of Arts & Sciences
  • Inventors: Johnston-Halperin, Ezekiel; Gupta, Jay; Hamilton, Morgan; Kavand, Marzieh; Koll, Will; Perez-Hoyos, Ethel; Phillips, Zoe
  • Licensing Officer: Dahlman, Jason "Jay"

New Class of Error Correction Codes for Quantum Computing
TS-058447 — The emergence of quantum computing has uncovered a new set of error code detection and correction challenges. New technologies are needed to correct quantum and data transmission errors to accelerate the field’s growth and implementation.
The Need: In today's rapidly advancing technological landscape, reliable error correcting codes are indispensable for ensuring seamless data transmission and quantum computation. Classical error correcting codes have been effective in addressing transmission errors, while quantum error correcti…
  • College: College of Arts & Sciences
  • Inventors: Joshua, Roy
  • Licensing Officer: Dahlman, Jason "Jay"

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