IonQ CEO drops bold call on quantum computing’s tipping point | Official Website of Louis Velazquez, entrepreneur, finance guy and tech innovator

The point where we see quantum computers outperform classical systems may be closer than ever.

Popular quantum computing stock IonQ’s (IONQ) CEO Niccolo de Masi, in a CNBC interview, sees that shift within touching distance.

That’s not just a soundbite. It’s a major signal that we’re getting ever so close to quantum computing having a real-world impact.

💵💰Don’t miss the move: Subscribe to TheStreet’s free daily newsletter💰💵

IonQ stock, in particular, has been red-hot, having surged more than 466% last year, dwarfing the S&P 500’s 18% return.

More importantly, with its robust high-fidelity systems, room-temperature scalability, and deep-pocketed partners, it is positioning itself as a true bellwether in the niche.

Consequently, we could see the next major tech supercycle unfold, resulting in a paradigm shift for computing.

IonQ CEO Niccolo de Masi says quantum supremacy could arrive within just a few quarters.

Image source&colon; Bloomberg/Getty Images

Quantum computing’s second wave is scaling fast

As indicated previously, Quantum computing has moved well beyond the lab.

D-Wave released the first commercial system back in 2011. IBM put quantum processors on the cloud in 2016.

And in 2019, Google claimed “quantum supremacy,” following it up with the Willow processor last year, which nailed a random circuit sampling task in under five minutes.

That task would have taken traditional supercomputers roughly 10 septillion years to perform!

Today, we have systems that are scaling into thousands of qubits, representing the core units of quantum processing.

What’s changed is speed, money, and competing tech stacks.

IonQ, for example, uses trapped-ion tech, boasting what it calls “industry-best gate fidelity,” meaning its super-accurate operations.

It combines that with “full qubit connectivity,” where each qubit can communicate efficiently, a major edge in solving complex problems.

Also, it recently raised $1 billion, bringing its cash war chest to an eye-catching $1.68 billion.

Similarly, there’s D-Wave’s 4,400+ qubit Advantage2, which tackles optimization problems like logistics and supply chains with ease.

Rigetti, using superconducting tech, showed off a modular chip design that aims for 99.5% fidelity, signaling virtually flawless processing.

IBM is still a force to be reckoned with, working on error-corrected systems through its new Loon and Nighthawk chips.

Meanwhile, Microsoft, Nvidia, and Google continue investing heavily in quantum labs.

The quantum-AI fusion that could reshape entire industries

Perhaps the biggest step up for quantum computing is its seamless and robust fusion with AI.

According to Grand View Research, the sector was valued at a whopping $1.42 billion last year, potentially growing to $4.24 billion by 2030 (a 20.5% CAGR).

The Boston Consulting Group takes that up a notch or two, saying quantum technologies could unlock a whopping $450 billion to $850 billion in economic value by 2040.

That includes a tremendous $170 billion opportunity for hardware and software providers. What sets quantum apart from other tech is its ability to solve “combinatorially hard” problems.

Think of simulating molecules for drug discovery or optimizing financial portfolios, which traditional computers might not be able to crack within a reasonable time.

And now, AI is becoming quantum’s biggest accelerant.

AI models typically face bottlenecks in training and optimization.

However, quantum algorithms can significantly shrink machine learning cycles from weeks to hours.

At the same time, AI tools are building upon and improving quantum systems, using pattern recognition to efficiently stabilize qubits and correct errors in real time.

Also, quantum-augmented AI is arguably the most critical piece of the puzzle in transforming autonomous systems, while enabling vehicles and robots to make split-second decisions in no time.

As both technologies mature, their powerful synergy will unlock massive upside for finance, health care, logistics, and national security.

IonQ CEO says quantum supremacy is ‘just around the corner’

IonQ CEO Niccolo de Masi believes we’re on the cusp of a computing revolution.

In a CNBC interview, de Masi declared that the “era of quantum supremacy” is approaching quickly, with that tipping point expected “within a few quarters or low single-digit years.”

Needless to say, the stakes are massive in the quantum computing space, and the market has responded in kind.

IONQ stock is up over 179% in the past nine months, led by bullish bets on breakthroughs in encryption and networking.

IonQ stands out for its scalable systems that can effectively operate at room temperature (a key bottleneck), offering both quantum processors and secure quantum networking hardware.

Also, de Masi highlighted IonQ’s momentum in partnerships.

The company has been working closely with Amazon Web Services, AstraZeneca, and Nvidia to explore drug discovery through a quantum lens efficiently.

Importantly, IonQ is positioning itself ahead of China in cracking legacy encryption to align it with U.S. government priorities.

De Masi feels that quantum will initially offer narrow commercial advantages, then grow exponentially.

More News:

If he’s correct, quantum computing could soon disrupt cloud, cybersecurity, and biotech, drawing interest from tech heavyweights and public-sector players.

What does quantum supremacy really mean?

It’s also important to gauge what quantum supremacy actually means.

Think of “quantum supremacy” as a moment where a quantum computer efficiently breezes through tasks, stumping even the fastest classical supercomputers.

At its core are “qubits,” which are effectively bits-with-a-twist that can hold 0 and 1 at the same time, thanks to “superposition.”

They can then become linked through “entanglement,” allowing distant qubits to instantly communicate information.

However, harnessing that power hinges on keeping qubits stable against “decoherence,” their annoying tendency to lose quantum mojo when bumped by the environment.

To size up real‑world muscle, researchers are using “quantum volume,” a broader measure of qubit count, connectivity, and error rates.

In taming those errors, “quantum error correction” layers those extra qubits into logical codes, preserving fragile quantum information together.