Is "Valleytronics" the Next Big Thing in Quantum Computing?

New valleytronics approach encodes data using quantum information without any inteference from magnetic fields

2 min read
Is "Valleytronics" the Next Big Thing in Quantum Computing?
Image: Lawrence Berkeley National Laboratory

Researchers at the Lawrence Berkeley National Laboratory (LBL) have developed a new pathway to achieving “valleytronics” using two-dimensional (2D) semiconductors.  The LBL researchers believe that this new approach could make valleytronics a more stable alternative to “spintronics” as a replacement for traditional electronics.

The term valleytronics is starting to filter into in the lexicon of cutting-edge electronics research. What it actually means is complicated, but it represents a movement away from exploiting the electrical charge of electrons as a means for storing information and instead using the wave quantum number of an electron in a crystalline material to encode data.

The “valley” in valleytronics comes from the shape of the graph you get when you plot the energy of electrons relative to their momentum: the resulting curve features two valleys. Electrons move through the lattice of a 2D semiconductor as a wave populating these two valleys, with each valley being characterized by a distinct momentum and quantum valley number. The trick is to manipulate these two valleys so that one is deeper than the other, which leads the electrons to populate one valley more than the other. When the electrons are in a minimum energy valley, the quantum valley number associated with it can be used to encode information.

This is analogous to how spintronics operates, but instead of using the quantum spin of an electron to encode information, valleytronics uses a quantum wave number instead.

Research started to move in this field last year when a team at the Massachusetts Institute of Technology (MIT) LBL demonstrated that the 2D material rhenium disulfide could be used in place of diamonds to achieve a valleytronic effect.

In this latest research out of Berkeley Lab, which was published in the journal Science, the team used the 2D material called tungsten diselenide in conjunction with a phenomenon known as the “optical Stark effect” to selectively control photoexcited electrons/hole pairs—excitons—in different energy valleys. The Stark effect involves the shifting and splitting of spectral lines of atoms and molecules when exposed to an external electric field

“This is the first demonstration of the important role the optical Stark effect can play in valleytronics,” said Feng Wang, a condensed matter physicist with Berkeley Lab’s Materials Sciences Division, in a press release. “Our technique, which is based on the use of circularly polarized femtosecond light pulses to selectively control the valley degree of freedom, opens up the possibility of ultrafast manipulation of valley excitons for quantum information applications.”

Spintronics too has been held out as a way to greatly increase data processing speeds by exploiting the quantum spin of electrons. However, quantum spin can be impacted magnetic fields, which leads to stability problems for spintronics.

The LBL researchers believe that since valleytronics is based on quantum waves rather than quantum spin this instability can be eliminated.

Wang believes that this valley-dependent optical Stark effect offers a convenient and ultrafast way of switching valley polarizations while eliminating any inteference.

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The First Million-Transistor Chip: the Engineers’ Story

Intel’s i860 RISC chip was a graphics powerhouse

21 min read
Twenty people crowd into a cubicle, the man in the center seated holding a silicon wafer full of chips

Intel's million-transistor chip development team

In San Francisco on Feb. 27, 1989, Intel Corp., Santa Clara, Calif., startled the world of high technology by presenting the first ever 1-million-transistor microprocessor, which was also the company’s first such chip to use a reduced instruction set.

The number of transistors alone marks a huge leap upward: Intel’s previous microprocessor, the 80386, has only 275,000 of them. But this long-deferred move into the booming market in reduced-instruction-set computing (RISC) was more of a shock, in part because it broke with Intel’s tradition of compatibility with earlier processors—and not least because after three well-guarded years in development the chip came as a complete surprise. Now designated the i860, it entered development in 1986 about the same time as the 80486, the yet-to-be-introduced successor to Intel’s highly regarded 80286 and 80386. The two chips have about the same area and use the same 1-micrometer CMOS technology then under development at the company’s systems production and manufacturing plant in Hillsboro, Ore. But with the i860, then code-named the N10, the company planned a revolution.

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