- Analog Optical Computing Chip for Neural Networks - Carries out multiply-accumulate computations in silicon photonic chip for AI.
- US Government Announces New Research Centers in AI and QC - $1B in government labs and universities funded by National Science Foundation and Dept. of Energy.
- Newsletter of IEEE Electron Devices Society features new IRDS™ Roadmap - Provides history of earlier semiconductor roadmaps and an overview of the latest roadmap.
- US Government funds 3 academic-based institutes on quantum information - $75M over five years going to research based at the University of Colorado, University of California at Berkeley, and the University of Illinois.
- Chip Proposals Seek to Revive US Manufacturing - US Congress proposes aid to advance US semiconductor industry.
- CCC Report on Embedded Security Research - Conclusions of Computing Community Consortium Workshop on Embedded Security in Connected Devices.
- DARPA Kicks Off Program in Quantum Computing - University-industry teams will investigate hybrid classical-quantum optimization algorithms.
- RAND Study Advocates Post-Quantum Cryptography - New report proposes development of communication security protocols that are more resistant against future quantum computers.
- Silicon Spin Qubits Demonstrated - Researchers fabricate silicon quantum dots that can operate at temperatures above 1 K.
- DoE issues report on AI for Science - Argonne National Laboratory summarizes town hall meetings on AI, big data, and high performance computing in the next decade.
- Roadmap for Wide Bandgap Semiconductors - IEEE Power Electronics Society releases Roadmap on development of ICs of GaN and SiC for high-power applications.
IBM’s Quantum Race to One Million Qubits
The critical test for any integrated circuit technology is its ability to scale to increased integration level. With this in mind, IBM has announced a Technology Roadmap for its superconducting quantum bits (qubits) for the next decade. For further information, read more at HPCwire.
IBM is projecting to double the number of qubits per chip every year for the next decade. The names of their chips are based on birds, starting out with Hummingbird (65 qubit) this month, and expanding to Condor (>1000 qubits) in 2023. At this rate, they are expecting to approach one million qubits by 2030.
These chips are designed to operate in a special refrigerator known as a helium dilution refrigerator at temperatures of less than 0.1 K. Commercially available refrigerators do not have the capacity to cool such large systems of qubits. IBM has been exploring the design of a larger dilution refrigerator that could cool one million qubits, codenamed “Goldeneye”, so that it will be available for testing and packaging the future systems, when needed. Furthermore, they are projecting massively parallel quantum computing systems comprising multiple systems of this scale, linked by true quantum interconnects, for the 2030s.
This assumes, of course, that the performance of these systems will continue to improve exponentially with the scale as expected. This requires increasing the Quantum Volume benchmark and incorporating quantum error correction technology. IBM is confident that they can achieve this.
DNA Storage and Computing at Catalog DNA
Interview with CTO Dave Turek
DNA has long been known as a biological data storage medium, with extremely high density, low energy, low error rates, and high long-term stability. It has been predicted as a medium for digital storage as well, but technological write and read rates have thus far been too slow for practicality.
That may be starting to change, according to a new MIT spinoff company called Catalog DNA. The CTO of Catalog, Dave Turek, until recently a VP with IBM, was recently interviewed in a video at InsideHPC.
Mr. Turek explained that Catalog has developed a prototype write system based on ink-jet printing technology, which enables write speeds of greater than 1 MB per second. This was demonstrated by storing the entire collection of Wikipedia pages (about 14 GB) in a small vial of liquid. Readout was also demonstrated using conventional DNA sequencing machines, although this is still somewhat slower. They anticipate major increases in both writing and reading speeds as the technology develops further. In addition, they believe that this technology can go beyond data storage to logical processing as well.
Further details of how this fabrication technology works is shown in this video.
- Rebooting Computing Video Overview
- IEEE Future Directions
- IEEE Future Directions Blog
- Computing in Science and Engineering on the End of Moore's Law
- IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JXCDC)
- Arch2030 Workshop Report (PDF, 948 KB)
- Workshop on Neuromorphic Computing
- Workshop on Beyond CMOS Technology
- Update on National Strategic Computing Initiative (NSCI)
- RC White Paper on Nanocomputers
- IEEE Computer Magazine on Rebooting Computing
- RC-ITRS Report on the Foundation of the New Computer Industry Beyond 2020 (PDF, 947 KB)