Quantum computing is poised to change our digital world. Our most sophisticated supercomputers will dwarf in power compared to computers wielding the power of quantum mechanics. Processes that take an immeasurable amount of time to complete, say thousands of years, could be done almost instantaneously on a quantum computer.
How do we harness the power of atoms in computation — and what is it that makes them so powerful? With quantum computers, bits are no longer restrained to binary states. In classical computers, we can have bits that are either 0 or 1. These numbers are arranged into a string of bits, creating a byte. Bytes form larger structures, such as a megabyte or kilobyte and provide instructions to your computer. An example of a string of bits may be 00100110, or 01101101, and so on and so forth. In quantum computers, a bit can be 0 or 1, or a combination of these states. These malleable bits are called quantum bits or “qubits,” and are extremely powerful and highly volatile.
Michelle Simmons, research head at the Centre for Quantum Computation and Communication Technology at the University of New South Wales, illustrated the potential of quantum computers in a tangible and visceral way in a recent talk. “Every time I add a quantum bit to a quantum computer, I double the computational power,” she explains. “If I could have 300 qubits, that would be more powerful than all the computers in the world connected together.”
Researchers are racing to add more qubits to powerful processors. At the moment, however, a 300-qubit chip resides in a future far ahead. IBM has crafted a 16-qubit processor, Google, trailing close behind, a 6-qubit one.
Both IBM and Google are utilizing superconductors to get the job done. They submerge their superconductor systems in sub zero temperatures to allow these machines to work without producing too much resistance. While new technologies are emerging to improve sophisticated superconductors, their use in computing is nothing new. In fact, the tech startup D-Wave secured massive funding early this decade, and has been engineering expensive quantum annealing systems since 2010.
Groundbreaking research has lead to another way to quantum computing, however. The use of time crystals could prove to outperform traditional superconductor systems.
Time crystals were proposed by Nobel laureate Frank Wilczek in 2012. His idea, in essence, was that since we can see spacial symmetries spontaneously break, as is the case with spatial crystals, we should be able to see this in time as well. That is, if we can have an arrangement of atoms in a certain sequence to create a form of matter, we could have an arrangement in time as well.
In the context of quantum mechanics, time crystals could act as a sort of perpetual motion machine. Elizabeth Gibney explains in her article The Quest to Crystallize Time in Nature as as a “collection of quantum particles that constantly changes, and never reaches a steady state.”
The idea of synthesizing time crystals in a lab seemed theoretically impossible when Wilczek proposed the idea. However, two separate research teams — one from University of Maryland, the other, Harvard University — have successfully created and observed the new type of matter in their own labs, utilizing vastly different approaches.
“In a delicate balance between strong interactions, weak disorder, and periodic driving force,” begins Observations of a Time Crystal on University of Maryland research team’s site, “a collection of trapped ion qubits has been made to pulsate with a period that is relatively insensitive to the drive.” Meaning, a certain sect of time crystals, discrete time crystals, can exist. “This is a time crystal,” the article continues, “where the stable pulses emerge and break time symmetry — just like freezing liquid breaks spatial symmetry and forms a spatial crystal.”
University of Maryland’s team has tested their quantum computer, built on their trapped-ion system, against IBM’s superconducting system, simulating 5-qubit machines. According to the research lead, using a simulator, “the performance is seen to mirror the connectivity of the systems, with the ion trap system out-performing the superconducting system on all results.”
Breaking into the quantum age will require innovation, to be sure. The ability to create discrete time crystals may be the answer to creating more powerful quantum computing machines. At present, low-qubit chips aren’t equipped to accomplish as much as pioneers in the emerging technology would like. The discovery of discrete time crystals could be the infrastructure this new type of computing is built upon, and may just be what drives quantum computing forward.
