Search Results - prineha+narang

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Topological Qubits Based on Square-Root Graphene Nanoribbons Induced by Electric Fields (Case No. 2024-192)
Summary: Researchers in the Physical Sciences Division and Electrical and Computer Engineering Department have developed a new class of graphene nanomaterial that can be tuned by electric fields. Background: Graphene nanoribbons (GNRs) are narrow strips of graphene, which is a two-dimensional material composed of a single layer of carbon atoms arranged...
Published: 8/23/2024   |   Inventor(s): Prineha Narang, Haiyue Huang, Mamun Sarker, Alexander Sinitskii
Keywords(s):  
Category(s): Electrical, Electrical > Quantum Computing
Prineha Narang Quantum Computing Portfolio
Lab Interview: Quantum Trailblazers: NarangLab’s Pursuit Technology Portfolio: Contracted Quantum Eigensolver for Excited States (Quantum Algorithm) (Case No. 2023-180) Prineha Narang and her team have developed a new quantum algorithm for calculating the excited states using a contracted quantum eigensolver (ES-CQE). ES-CQE uses a contraction...
Published: 3/27/2024   |   Inventor(s): Prineha Narang
Keywords(s):  
Category(s): Materials, Materials > Semiconducting Materials, Materials > Functional Materials, Electrical, Electrical > Quantum Computing
Contracted Quantum Eigensolver for Excited States (Quantum Algorithm) (Case No. 2023-180)
Summary: UCLA researchers from the Division of Physical Sciences and Engineering have developed a quantum algorithm that can calculate excited states in quantum computing. Background: Quantum computing operates based on the principle of superposition. While the bits used in classical computing exist in binary (0 or 1), bits in quantum computing...
Published: 9/18/2024   |   Inventor(s): Prineha Narang, Scott Smart, Davis Welakuh
Keywords(s):  
Category(s): Electrical, Electrical > Quantum Computing, Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Statistical Models
Simulation of Open Quantum Systems via Low-Depth Convex Unitary Evolutions (Case No. 2023-183)
Intro Sentence: UCLA researchers in the Division of Physical Sciences & Engineering have developed an efficient and cost-effective method for the improved simulation of open quantum systems. Background: Open quantum systems are quantum systems that interact with their surroundings and possess dynamics that can be influenced by these interactions,...
Published: 10/22/2024   |   Inventor(s): Prineha Narang, Joseph Peetz, Scott Smart, Spyridon Tserkis
Keywords(s):  
Category(s): Electrical, Electrical > Quantum Computing, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Signal Processing
Molecular Quantum Random Access Memory (Case No. 2023-182)
Summary: UCLA Researchers have developed a molecular quantum information system, showcasing its potential for room-temperature operation and scalability compared to current quantum random access memory (qRAM). Background: Quantum computing stands as an emerging technology with immense market significance. Leveraging the unique properties of quantum...
Published: 10/16/2024   |   Inventor(s): Prineha Narang, Paul Weiss, Tianhan Liu, Peng Xiong, Yuwaraj Adhikari
Keywords(s):  
Category(s): Electrical, Electrical > Quantum Computing, Software & Algorithms, Software & Algorithms > Communication & Networking, Electrical > Signal Processing
Quantum Cross-Resonator Spectrometer (Case No. 2023-181)
Summary: UCLA researchers in the Division of Physical Sciences and Engineering have developed a novel method of characterizing the complex dielectric function of a material. Background: The complex dielectric function is a measure of a material’s response to static or alternating electromagnetic fields and describes the microscopic behavior...
Published: 9/23/2024   |   Inventor(s): Prineha Narang, Ioannis Petrides, Jonathan Curtis, Amir Yacoby, Marie Wesson
Keywords(s): Quantum Computer, quantum processing, quantum processor
Category(s): Electrical, Materials, Materials > Semiconducting Materials, Electrical > Quantum Computing