Technologies

Researchers Use Quantum Computer to Improve AI Predictions

A quantum computer assists an AI model with calculations that would take weeks to figure out with a normal computer.

AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in Germany, researchers have been experimenting with an AI model and a quantum computer. The quantum computer helps the AI with complex predictions it can’t handle alone.

The research team from University College London, who published their findings on Friday in the journal Science Advances, say that one day, quantum computers could help AI models make fast, accurate predictions across a range of industries, which would take regular computers weeks to figure out.

“The paper demonstrates that for these kinds of studies, even today’s relatively small and unreliable quantum devices can enhance the predictions of conventional AI models,” Peter Coveney, UCL professor and the study’s coauthor, told CNET.

Quantum computers differ from regular computers in several ways, including being able to perform simultaneous calculations rather than step-by-step calculations, and using quantum bits. While classical computers use bits as the smallest data unit, with each representing either a zero or a one, qubits can represent both zero and one simultaneously (superposition). Two qubits can also be linked together (entanglement).

Superposition and entanglement allow quantum computers to solve complex problems much faster than traditional computers. But quantum computers are incredibly delicate and must be kept at extremely low temperatures, making them impractical for everyday use.

But while today’s quantum computers are still experimental and often finicky, they might help AI solve big problems that would otherwise be too complicated or time-consuming.

Quantum advantage

The AI model used in the study is housed on a supercomputer connected to the quantum computer at the research center.

The team used this setup to predict how gases and liquids in a system would move and interact over an extended period. Climate science, medicine and city engineering all use this kind of modeling.

“Our new method appears to demonstrate ‘quantum advantage’ in a practical way — that is, the quantum computer outperforms what is possible through classical computing alone,” coauthor Maida Wang, a PHD student at UCL, said in an announcement.

Quantum computers are incredibly sensitive. Even tiny disturbances in the environment throw off the calculations, so the technology is still mostly used in research labs.

Because quantum computing is still limited, the researchers did most of the study with the supercomputer. The AI model handled the data processing, then used the quantum computer for one step.

After completing the hard calculations, the quantum computer handed the reins back to the AI model, so it could take care of everything else.

“Even today’s noisy and error-prone quantum devices can enhance the performance of conventional machine-learning algorithms trained on data from modern supercomputers,” Coveney said.

Solving big problems

Hooking up an AI model to run calculations on a quantum computer might sound outlandish, but there are already real examples of companies using this approach in healthcare.

In 2025, Google said its Quantum Echoes algorithm could calculate the structure of molecules that could pave the way for future drug discovery. Also, last year, the University of Toronto and Insilico Medicine used AI with a quantum computer to build molecules that target an “undruggable” form of cancer.

While there are still challenges with ensuring predictions are reliable, as well as with the sheer size of the datasets involved, Coveney said quantum computers can improve complex predictions.

“We are already at work on real-world applications,” he said.

Technologies

Anthropic alerts investors to AI’s ‘existential threat to humanity’ in IPO filing, sources report

Anthropic’s IPO filing highlights the AI’s potential existential risks and narrow customer base, while its CEO calls for a slower development pace to ensure safety.

Anthropic plans to warn speculative investors in its IPO prospectus that its AI models pose a “catastrophic or existential risk to humanity,” several reports said on Tuesday.

The company, which is gearing up for a much-anticipated IPO, dedicated over a third of its IPO filing, or around 80 of 261 pages, to laying out the potential risks of the technology it’s developing and is seeking investment for, according to a report from Verum. It only used 48 pages to discuss its actual business.

The five-year-old company, known for its frontier language model Claude, warned that AI can have “self-preserving behaviors,” including being able to “resist shutdown,” “conceal or manipulate information,” and carry out behaviors “resembling blackmail,” per the Verum report.

The company is pursuing a $2 trillion valuation when it goes public and reported in the filing that it made a net loss of $42 billion in 2025. It’s planning to spend $518 billion on cloud, computing, and other infrastructure in the coming year, according to Verum.

Anthropic also warned that its customer base is extremely narrow, with nearly a quarter of its revenue last year coming from just two clients, two people familiar with the filing told the Financial Times.

AI safety guardrails

Anthropic’s co-founder and CEO Dario Amodei has previously written various essays warning on the threats of AI, including saying the technology will cause “unusually painful” disruption to the job market.

In another recent essay, the CEO urged the AI industry to slow the pace of AI model development, with a three-step plan to reduce how quickly models get better without “sacrificing commercial advantage or the United States’ lead in AI.”

Those calls for a slowdown are somewhat of a “head scratcher” for the sector, to which the market has reacted “pretty resoundingly,” Dan Ives, partner and senior managing director at Yorkville Ives told CNBC earlier today.

“You need guardrails from a safety perspective, but the fact for Anthropic and OpenAI to slow down, if they slowed down, China would just accelerate and win, and I think that’s part of this quagmire that you’re seeing is that there’s some regulatory capture going on. There’s definitely a game of poker, but for Anthropic, they got to continue to put foot on the pedal.”

Ives added that while guardrails are essential, regulation could stifle innovation. That continues to be the “biggest concern within the U.S., which is why we’re in an F1 race,” he said.

Technologies

U.S. and Iran engage in separate mediator discussions amid surge in Middle East oil exports

U.S. and Iranian officials held separate indirect talks mediated by Qatar as Middle East crude exports neared wartime highs, while Tehran awaits a U.S. response to its cease‑fire and sanctions‑relief proposal.

On Monday, American and Iranian representatives engaged in distinct indirect negotiations mediated by third parties, aiming to halt seven months of hostilities while Iran awaits Washington’s reply to an updated cease‑fire proposal and Middle Eastern oil shipments reach wartime peaks.

Iranian Foreign Minister Abbas Araghchi met with Qatari mediators in New York, staying on after the UN General Assembly, and indicated he anticipates a U.S. response by Tuesday. “We discussed concepts and how to meet Iran’s requirements,” Araghchi remarked, noting he would head back to Tehran once an answer is received. “When the Qataris have a reply, they know how to deliver it to us.”

The Iranian plan, initially unveiled during the sidelines of last week’s UN General Assembly, asks the United States to unfreeze Iranian assets, remove oil sanctions and lift the naval blockade of Iranian ports within four to five days, and to commence nuclear negotiations within a week. Tehran links any resumption of traffic through the Strait of Hormuz to the fulfillment of those conditions.

On Sunday, President Donald Trump dismissed the proposal as “unacceptable,” asserting that Iran seeks a rapid agreement due to economic strain. Speaking at the White House on Monday, Trump noted that U.S. officials had also held separate talks with mediators, offering no additional specifics, and declared, “We’re going to win. It’s going to happen fast.”

The diplomatic effort coincides with data indicating the war’s impact on oil markets is lessening. Middle Eastern crude exports have risen this month to near their highest point since the conflict started in February, according to Kpler. The firm noted in a Monday briefing that exports are “just under 80% of pre‑conflict levels.”

The Strait of Hormuz remains far from usual activity. Kpler’s real‑time monitoring recorded a flow of 10,591 kilobarrels per day through the strait on Saturday, compared with a prewar baseline of 17,133 kilobarrels per day.

The ongoing impasse is influencing U.S. fuel markets, where retail diesel prices linger close to a record $6.53 per gallon. The Trump administration is reconsidering an export ban, having recently distanced itself from an earlier iteration of the idea; Kpler estimates such a ban would retain about 1.2 million barrels per day domestically, potentially straining storage capacity.

Technologies

Saudi Red Sea export rebound pushes oil prices down

Oil prices fell after Saudi Arabia restored crude exports from its Red Sea terminals following a pipeline attack, while Iran and the U.S. continue talks over the Strait of Hormuz.

Oil prices fell on Tuesday as Saudi Arabia’s crude exports from its Red Sea ports recovered from an attack on a key pipeline earlier this month. The decline reflects renewed flow from major loading points.

Satellite imagery confirmed a “major operational recovery” at the Yanbu and Muajjiz terminals, according to a Kpler note released on Tuesday. The data shows that 12.5 million barrels were loaded onto nine tankers at Yanbu between Saturday and Monday, restoring activity after a drone strike disrupted the East‑West pipeline earlier in the month.

Riyadh has brought the pipeline’s throughput back to roughly 3.5 million barrels per day, people familiar with the matter told The Wall Street Journal and Bloomberg News on Monday. The line’s maximum capacity is 7 million bpd, indicating that the current flow is about half of its peak.

Meanwhile, U.S. and Iranian officials spoke with mediators on Monday as they attempt anew to negotiate a deal to end the seven‑month conflict. Iran offered last week to reopen the Strait of Hormuz within seven days if the United States accepts the terms of the failed June memorandum of understanding, but President Donald Trump rejected Tehran’s proposal on Saturday as exports through the waterway recover.

Oil flows through Hormuz have averaged 13.2 million barrels per day over the past week, according to Kpler data—about 77 % of the 17 million bpd that moved through the strait before the U.S.–Iran war. The U.S. military continues to protect tankers from Gulf allies and maintains a blockade on Iranian exports.