Is D-Wave Quantum One of the Most Overlooked Tech Stories of the Decade?


  • Quantum computing is becoming a new focus for tech sector investors.

  • D-Wave’s approach to building quantum computers differs from most of its competitors.

  • While the company has achieved a bit of commercial traction, its future is still quite uncertain.

  • 10 stocks we like better than D-Wave Quantum ›

Throughout the artificial intelligence (AI) revolution, investors have primarily turned to companies that develop semiconductors, data centers, and cloud computing software for growth opportunities.

But as most investors still chase GPUs and infrastructure, a new pocket of the digital realm is beginning to show its potential: quantum computing. While tech megacaps such as Microsoft, Amazon, Alphabet, and Nvidia are also exploring quantum computing, it’s the pure-play stocks in the space that have witnessed the most action — in particular, IonQ, Rigetti Computing, and D-Wave Quantum (NYSE: QBTS).

D-Wave’s approach to building quantum computers is unusual, but it has potential. Could investors be overlooking the next big thing in the tech space?

It’s important for investors to first understand that quantum computing does not yet have meaningful commercial applications. Rather, the technology is heavily funded by research and development budgets and remains primarily an exploratory pursuit used in niche services.

Moreover, while the underlying principles that allow the tech to work are the same, there is no one-size-fits-all approach to building quantum computing architectures. For instance, IonQ uses a trapped ion qubit system, while Rigetti is using superconducting qubits.

D-Wave, on the other hand, uses an approach called quantum annealing. As the company’s website explains: “Quantum annealers are quantum computers that you initialize in a low-energy state and gradually introduce the parameters of a problem you wish to solve. The slow change makes it likely that the system ends in a low-energy state of the problem, which corresponds to an optimal solution.” So it may not produce the very best answer, but it will produce one of them.

Unlike those of its peers, D-Wave’s quantum computers are less purpose-built, and should be best suited to optimization-based applications across supply chains, manufacturing, and logistics. This means that they could be useful in areas such as workforce and production scheduling, resource optimization, cargo loading, and logistics routing.

A quantum computing researcher in a lab.
Image source: Getty Images.

One of the biggest risks surrounding an investment in D-Wave is the company’s underlying approach. If quantum annealing proves less useful at scale than rival gate-based hardware designs, then D-Wave will likely achieve less commercial adoption.



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