Future Sci &Tech

Google & IBM Race to Build First Practical Quantum Computer

In a joint project, Google and IBM have given a timeline for the first working quantum computer. The tech giants stated that the first working quantum computer, with a system of one million qubits, is on the verge of being built. The goal of a โ€œworking quantum computer,โ€ which has been a dream in advanced physics and computer science since the 1980s, is now closer than ever before.


Advancements in Quantum Computing

Recent technical breakthroughs have led major tech companies to race to scale up laboratory experiments to an industrial level. Last June, IBM announced a clearer path to its goal by publishing a plan for a โ€œfull-scale quantum computerโ€ that completed the missing parts of its previous designs. According to a Financial Times report, quantum computers have the potential to solve problems in fields like materials science and artificial intelligence that existing systems canโ€™t.

IBM Quantum Initiative President Jay Gambetta stated, โ€œIt doesnโ€™t feel like a dream anymore. I feel like weโ€™ve cracked the code and can build this machine before the end of the decade.โ€ This statement intensified the competition with Google, which also aims for an industrial-scale quantum computer before the end of the decade after overcoming one of the biggest technical hurdles late last year. Julian Kelly, the head of Hardware at Google Quantum AI, said, โ€œAll remaining engineering and scientific challenges are surmountable.โ€


The Challenge of 1 Million Qubits

To reach an industrial scale, the number of qubits must increase from under 200 to over one million. This is compared to the early days of classical computers, but quantum computers pose additional challenges.

One of the most critical issues is that qubits can only maintain their quantum states for tiny fractions of a second. As the scale grows, this increases problems with โ€œnoiseโ€ and instability. For example, on IBMโ€™s experimental Condor chip, increasing the number of qubits to 433 led to unwanted interactions between components called โ€œcrosstalk.โ€ Rigetti Computing CEO Subodh Kulkarni said that โ€œstacking qubits this way creates a strange effect we canโ€™t control,โ€ calling it a serious physics problem. IBM, however, claims to have solved this problem with a new connection technology.


The Race for Error Correction

โ€œError correctionโ€ techniques, which make quantum computers fault-tolerant, are critically important. Google is the only company that has developed a chip capable of error correction as the system grows. Kelly warned that those who try to scale without reaching this stage risk building โ€œvery expensive, noise-producing but not value-producingโ€ machines.

While Google is focusing on a one-million-qubit goal using the โ€œsurface codeโ€ method, IBM has switched to a different error correction approach called the โ€œlow-density parity-check code.โ€ IBM claims this method requires 90% fewer qubits, but the need to establish long-distance connections creates significant engineering challenges.


The Heavy Engineering Load

Experts emphasize that the scaling process will be determined by challenges such as integrating massive cabling systems onto single chips, connecting these chips in modules, and developing giant refrigerators that operate at temperatures close to absolute zero.

Although the superconducting qubits used by Google and IBM have made great progress, they are difficult to control and require very low temperatures. Alternative methods like โ€œtrapped ions,โ€ โ€œneutral atoms,โ€ or photon-based systems are more stable but face issues with speed and scaling.

The CEO of Universal Quantum, Sebastian Weidt, said that government funding will determine which technologies remain in the race. Last year, the U.S. Defense Advanced Research Projects Agency (Darpa) launched a comprehensive review to identify the most scalable technologies. Companies like Amazon and Microsoft are also working on radical designs for more reliable qubits.

Gartner analyst Mark Horvath summarized the confidence in the industry by stating, โ€œJust because itโ€™s hard doesnโ€™t mean it canโ€™t be done.โ€

You Might Also Like;

    Leave a Reply

    Your email address will not be published. Required fields are marked *

    Back to top button