Quantum Computing: The Breakthrough of 2024

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A representation of an atom is combined with an illustration of a molecule exhibiting covalent bonding. A constellation of computer systems orbits the nucleus at high velocoty.

Quantum Computing

The start of a new year is often a good time to look back at the year that has passed. It is not unusual to see “top ten” lists during this season, and prognostications abound. 2024 certainly has provided robust candidates, including trends that have become media darlings such as Artificial Intelligence and Cybersecurity.

This writer would like to humbly nominate Quantum Computing as the technology of 2024, the year in which it ceased being only theoretical. This is computing on an extremely small scale, even beyond nanosize. Until 2024 data has been binary, referred to as bits, and in essence can only be either a 1 or a 0. Quantum computing is built with qubits, which can each be a 0, 1, or a combination of both simultaneously. Specific kinds of calculations can now be performed significantly faster through execution of multiple possibilities. The computers on our desks today can only process data sequentially, while a quantum computer can work in parallel. The impact of this will be both profound and broad.

We can gain insight into the magnitude of this leap by practically considering physical dimensions, which have progressed from components that can be manipulated by human hands down to sizes that cannot easily be conceived by the human mind.

State of the art science at the beginning of my personal journey was surface mount technology. The library at the university employed specialized technicians, repairing microfilm readers, photocopiers and display terminals connected to the mainframe systems of the day. These devices contained circuit boards composed of proprietary components soldered on plastic sheets, which were about as thick as a graham cracker. Service team members would simply pull out the boards and visually inspect them for damage. Once a problem was located, a repair or replacement was manually installed.

Fast forward 20 years, and circuitry is often printed rather than wired or soldered. Micro circuits imaged in conductive inks were exponentially more dense than surface mounted technology. A typical example of the time, like the membrane switch inside every keyboard, was manufactured in great volume and at a very low cost. Impositions of circuit boards were printed on ultrathin sheets of vinyl at speeds of 10,000 sheets per hour or higher. Die cut, stacked and glued to form sub assemblies, these components are lighter, thinner and smaller than the prior circuit boards. However, these items are not yet nanoscale, and they are not repairable.

Take yet another 20 year jump, and application specific integrated circuits (ASIC) are deployed which contain entire microprocessors and memory blocks. These system on chip (SoC) designs contain hardware description language (HDL). Concurrent work on one task by a virtually unlimited network of devices is the new norm. Thinking back to the scale of surface mount components, ASIC may be the liminal point. At or beyond this scale, the human mind may no longer be able to practically comprehend the dimensions of the structure without assistance.

Despite the breakneck pace of this innovation, data technicians are still monitoring and replacing components as needed. Today these articles are much more sophisticated, which brings to mind Moore’s Law. Gordon Moore was a founder of a semiconductor company, and his “law” modeled the potential pace of technological advancement. They may have been difficult to believe at the time, but his predictions were accurate for 50 years.

Now that quantum computing is actually in the marketplace, Moore’s Law will probably have to be put up onto the shelf. Prominent American firms are offering quantum services today, and these are delivering significant results. For example, parallel processing can efficiently simulate complex molecules undergoing chemical reactions, which is relevant in agricultural, pharmaceutical and materials research.

2024 was a year that yielded a great deal of advancement and insight. As we look to the future, quantum computing is likely to be the most significant innovation of them all.