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Posts in this Impact Area: (Computer Power)
- Disk space to burn, literally
- DNA computing: Genetic expression used for computer logic
- Steve Jobs, entrepreneur, artist
- Memflector: Neuron-like computer component
- Supercomputer race: Japan’s Fujitsu takes the lead
- Graphene ICs: IBM builds graphene transistors into a circuit
- IBM at 100
- DNA Computing: Advances in organic circuits
- Who’s afraid of Watson?
- Nanowire transistors: A next step for digital technology
- Genetically modified yeast cells as electronic circuits
- Microsoft Kinect connects with the future
- Tianhe-1A: China and the world’s fastest supercomputer
- Computer Power: Petabit disk storage
- Stress test for computers: New sorting records
- India announces world’s least expensive computer, again
- A first: Computer display ready to roll (up)
- Memristors go into production
- Oh please, “skinput”
- Giving Roger Ebert a voice
- Graphene transistors
- Apple iPad: And the big deal is…?
- Excited quantum dots may lead to photonic computers
- Concept news: A one-molecule transistor
- A big step up: Two qubit computing
- Update: Google’s use of a ‘quantum computer’
- Quantum computing and image recognition
- IBM Cortical Simulator – more brain than a cat
- A two-qubit computer
- Diode tunneling into quantum computing

Diode tunneling into quantum computing
One way or another, computers will eventually incorporate aspects of quantum physics. They may be true ‘quantum computers’ or just use components based on quantum mechanics, but the trends are moving in the quantum direction. (I realize quantum direction is pretty much an oxymoron.) We’re almost at the end of the road for current silicon-based computation, or to use a more accurate metaphor – we’re at the end of the scale. With current technology we can’t cram many more circuits into the limited space of a CPU chip. Of course, the search is on for new technology, in this case new research into a resonant interband tunneling diode:
Although the tunneling diode (RITD) has many potential uses (photography, medicine, military sensors), the Ohio State research has not quite cracked the manufacturing requirements (they need the device to reach a signal peak-to-valley ratio of 2; it’s now at 1.85). This comes under the heading of a ‘promising approach.’