Google's quantum AI hardware chief, Julian Kelly, has indicated that practical applications of quantum computing could be realized in as little as five years. This technology is expected to tackle complex problems beyond the capabilities of modern computers, potentially revolutionizing fields like advanced physics research and data generation. Despite this promising outlook, quantum computing stocks experienced a decline.
On a recent day, Quantum Corporation's (QMCO) stock fell by more than 7.5% during trading, while WiMi Hologram Cloud (WIMI) dropped over 4.4%. Other stocks such as IONQ (IONQ), D-Wave Quantum (QBTS), Quantum Computing Inc. (QUBT), and Honeywell (HON) also saw their losses narrow after midday declines. IBM (IBM) initially rose by nearly 1% before its gains were reduced.
Quantum computing, which utilizes "qubits" to process multiple states simultaneously, is distinct from traditional binary computers. This capability allows quantum computers to address complex issues that are currently unsolvable by conventional means. Kelly suggests that initial applications will likely focus on simulating advanced physics, a field that often surpasses the processing power of traditional computers. Additionally, quantum computers might generate data for AI training, although this remains speculative.
The race in quantum technology is gaining momentum among tech giants. Google has made significant strides, notably in error correction, which experts believe paves the way for functional quantum computers. Google's latest quantum computer boasts 105 qubits, but experts suggest that millions may be required for widespread applications. Microsoft has also progressed with its "Majorana" quantum chip, designed to enhance information processing efficiency.
While NVIDIA does not produce quantum processors, it has engaged with leading quantum companies to explore the technology's potential. Despite the promising future of quantum computing, challenges remain. NVIDIA CEO Jensen Huang recently clarified previous statements, acknowledging the complexity of the technology and its long road to market readiness.
