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Alan Baratz of D-Wave Quantum (David Fitzgerald/Getty Images)

D-Wave Quantum touts tech breakthrough that lets gate models scale

You know what’s cool? Keeping a lot of qubits, together, cool.

Luke Kawa

D-Wave Quantum has announced a breakthrough that addresses a key challenge in developing superconducting gate-based quantum computers: how to gather a ton of quantum bits (or qubits) in the same place while keeping them all cool enough to function.

A particularly tricky problem of heat

We want quantum computers to be able to solve complex problems. Complex problems require these machines to utilize a lot of qubits. Those qubits, in a superconducting system, need to be housed in an extremely cold environment to operate.

But connecting and communicating with all those quantum processing units (or QPUs) via individual wires would result in too much heat, not to mention adding to the cost of the system.

D-Wave says it’s solved this problem through multiplexing (using one wire to communicate with a number of other chips) and bump bonding (stacking a QPU and a control chip together), as well as controlling qubits by magnetic fields.

“This industry-first milestone advances the development of commercially viable gate-model quantum computers by significantly reducing the wiring required to control large numbers of qubits without degrading qubit fidelity,” per the press release. “Using superconducting bump bonding and advanced cryogenic packaging techniques, D-Wave built a multichip package that integrates a high-coherence fluxonium qubit chip with a multilayer control chip.”

Annealing vs. gate-based

D-Wave is the major player in annealing quantum computing, an approach that solves more specialized optimization problems. The company has already been able to apply this on-chip cryogenic control technology to its annealing systems.

But gate-based quantum computers, which aim to address even more complex and broad queries, are the dominant approach, pursued by the likes of Rigetti Computing and IonQ as well as D-Wave.

 “We wanted to make sure that we had kind of the scalable control piece sort of nailed down, because we think that to get to broad quantum utility with gate-model architectures requires scaled, error-corrected architectures, which requires a lot of physical qubits,” said Dr. Trevor Lanting, chief development officer at D-Wave.

“This is basically proof that we can use the technology that exists that we’ve developed, and more or less in a very straightforward way, to control gate-model architectures.”

He added that D-Wave’s superconducting approach to quantum computing allows the firm to leverage preexisting manufacturing and packaging processes that have been developed, rather than having to build up a technology base from scratch. 

A solid first step

During the conference call that followed the release of Q3 earnings in November, CEO Dr. Alan Baratz highlighted gate-model development as a priority for D-Wave.

“ Up until now, our investment in gate has been light, mostly because we havent had the funds to be able to grow that investment all that much. Now with the roughly $830 million in the bank, we have the resources to be able to invest more in that program, both internal investment and through acquisition to accelerate the program,” he told Sherwood News.

“ We have one customer who has said, ‘When you have a gate-model system, I want it.’”

At the time, Baratz told us that what was ultimately announced today would mark the “first step” in the company’s gate-model program.

“ From there, we will go to a small logical qubit, a small surface code logical qubit to demonstrate that we can now use this technology to build error-correctable logical cubits,” he said. “And our hope would be to have that before the end of next year, and then well start scaling to larger surface code.”

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Ross shares are rising after the company delivered strong Q1 results, with sales topping Wall Street’s projections.

The stock soared 6.3% just after the open.

Key numbers:

  • Earnings per share of $2.02 vs. $1.47 year over year (estimate: $1.72).

  • Sales of $6.01 billion, up 21% year over year (estimate: $5.61 billion).

  • Comparable sales growth of 17% (estimate: 8.58%).

CEO Jim Conroy attributed the results to better traffic in stores. “Customer traffic was the primary driver of the strong sales trend as compelling merchandise assortments, higher customer acquisition and engagement from our ongoing marketing initiatives, and an improved in‑store experience are resonating with shoppers.”

The company also noted that transaction volume grew across all key demographics, including “income levels, ethnicities, and age groups, including younger customers.” Sales were also likely buoyed by standard seasonal tailwinds, including consumer spending from tax refunds.

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Ross Stores has been one of the retail sector’s standout performers this year, rising around 20% year to date as of Thursday’s close.

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The premium screen company has reportedly approached entertainment companies for a deal, though talks are early and may not come to fruition. Imax has been boosted in recent years by its higher ticket prices — a K-shaped trend in movie theaters — and last year accounted for more than 5% of domestic box office sales.

Theatrical release windows have become a large debate in Hollywood this year, amid the bidding war between Paramount and Netflix for Warner Bros. Discovery. It’s unclear if an entertainment buyer would favor its own films for Imax over a rival’s.

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About six months ago or 12 months ago, nobody was talking about CPU shortages,” Su said at an event in Taipei. But as [AI] inferencing and agentic AI have really started to ramp up, the CPU market [will] continue to grow very much. Over the next five years, we see the CPU market growing at over 35% each year, and this is an area where were seeing very strong demand.

The comments come as the computing demands of AI agents (in particular, the so-called orchestration of tasks) increase the need for CPUs in running models.

AMD also said this week it plans to invest more than $10 billion into Taiwan’s AI ecosystem alongside supply chain partners as it ramps production capacity for next-generation AI infrastructure. This investment will support the manufacturing ramp of AMDs sixth-generation EPYC CPUs, code-named Venice.

Su added that CPU supply is now “tight” as inference demand accelerates, while bottlenecks are emerging across memory, power availability, and advanced packaging.

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