tag: California Institute of Technology

Chip Industry Technical Paper Roundup: Feb. 18
By Linda Christensen - 18 Feb, 2025 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=406 /] Find all technical papers here. » read more

High-Temperature Nonreciprocal Thermal Radiative Properties From Semiconductors (U. Houston, Caltech, UW-Madison)
By Technical Paper Link - 12 Feb, 2025 - Comments: 0

A new technical paper titled "High-Temperature Strong Nonreciprocal Thermal Radiation from Semiconductors" was published by University of Houston, California Institute of Technology and University of Wisconsin-Madison. Abstract "Nonreciprocal thermal emitters that break the conventional Kirchhoff's law allow independent control of emissivity and absorptivity and promise exciting new funct... » read more

Research Bits: Nov. 11
By Jesse Allen - 11 Nov, 2024 - Comments: 0

Quantum tunneling transistor Researchers from MIT and University of Udine fabricated a transistor that uses ultrathin layers of gallium antimonide and indium arsenide arranged in vertical nanowire heterostructures with a diameter of 6nm. The quantum tunneling effects of the material enable it to simultaneously achieve low-voltage operation and high performance. “This is a technology with ... » read more

Photonic Compact Chip That Seamlessly Converts Light Into Microwaves (NIST, et al.)
By Technical Paper Link - 15 Mar, 2024 - Comments: 0

A new technical paper titled "Photonic chip-based low-noise microwave oscillator" was published by researchers at NIST, University of Colorado Boulder, California Institute of Technology, UCSB, University of Virginia and Yale University. Abstract "Numerous modern technologies are reliant on the low-phase noise and exquisite timing stability of microwave signals. Substantial progress has b... » read more

An Engineering Algorithm For Chemical Accuracy With Shallow Quantum Circuits
By Technical Paper Link - 15 Jan, 2024 - Comments: 0

A technical paper titled “Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach” was published by researchers at California Institute of Technology (Caltech), Microsoft Research AI4Science Lab, and Tencent Quantum Lab. Abstract: "Achieving chemical accuracy with shallow quantum circuits is a significant challenge in quantum computationa... » read more

Research Bits: November 21
By Jesse Allen - 21 Nov, 2023 - Comments: 0

MoS2 in-memory processor Researchers from École Polytechnique Fédérale de Lausanne (EPFL) developed a large-scale in-memory processor using the 2D semiconductor material, molybdenum disulfide (MoS2), for the channel material in the more than 1,000 transistors that comprise the processor. The MoS2-based in-memory processor is dedicated to vector-matrix multiplication, key for digital signal ... » read more

Chip Industry’s Technical Paper Roundup: June 20
By Liz Allan - 20 Jun, 2023 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=112 /] » read more

End-To-End System Architecture For Quantum RAM (Yale, AWS, Caltech)
By Technical Paper Link - 14 Jun, 2023 - Comments: 0

A technical paper titled “Systems Architecture for Quantum Random Access Memory” was published by researchers at Yale University, AWS Center for Quantum Computing, and California Institute of Technology. Abstract: "Operating on the principles of quantum mechanics, quantum algorithms hold the promise for solving problems that are beyond the reach of the best-available classical algorithms.... » read more

Chip Industry’s Technical Paper Roundup: Nov. 21
By Linda Christensen - 21 Nov, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=65 /] » read more

Lithography Modeling: Data Augmentation Framework
By Technical Paper Link - 17 Nov, 2022 - Comments: 0

A new technical paper titled "An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design" was published by researchers at the University of Texas at Austin, Nvidia, and the California Institute of Technology. Abstract: "Lithography modeling is a crucial problem in chip design to ensure a chip design mask is manufacturable. It requires rigorous simulation... » read more

← Older posts

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy