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Amazon Web Services (AWS) has announced the development of a new quantum computing chip, dubbed Ocelot, which it believes could shave up to five years off its timeline for building a commercially viable quantum computer.
The prototype, unveiled on Thursday alongside a peer-reviewed paper in Nature, represents a significant technological leap despite currently possessing only a fraction of the computing power required for a fully operational quantum system.
Quantum computers promise to perform calculations that would take conventional machines millions of years, potentially revolutionizing industries ranging from materials science to pharmaceuticals. However, the fragile nature of qubits—the fundamental building blocks of quantum computing—necessitates robust error correction mechanisms. Traditional industry estimates have held that around one million physical qubits are needed to produce a sufficient number of reliable logical qubits for practical computing tasks.
AWS’s Ocelot chip, however, employs an innovative "cat" qubit approach, inspired by Schrödinger’s famous thought experiment, which allows the system to yield one working logical qubit from just nine physical qubits. Oskar Painter, AWS Director of Quantum Hardware, explained that this breakthrough could eventually enable useful quantum computers to be built with only 100,000 physical qubits—a reduction by a factor of five to ten compared to conventional estimates.
Constructed using standard semiconductor techniques and the material tantalum, the current prototype serves as a proof-of-concept. Painter noted, “We hope to customize these techniques further, making improvements at the materials and processing levels that will simplify the underlying technology and accelerate our development timeline.”
The announcement comes as major industry players, including Google, Microsoft, and startup PsiQuantum, also make strides in the rapidly evolving field of quantum computing. AWS’s latest venture underscores its commitment to remaining at the forefront of quantum innovation as it races to transform theoretical promise into commercial reality.
Saudi Arabia said its air defences destroyed a Houthi drone south of Mecca before it could enter prohibited airspace over the holy city, as attacks by the Iran-aligned group deepen regional tensions.
Russian air strikes injured 13 and damaged buildings in the Ukrainian capital of Kyiv and in the Black Sea port city of Odesa in the early hours of Thursday, officials said on the Telegram messaging app.
Ukrainian President Volodymyr Zelenskyy said that Ukraine was carrying out tests on a new weapon to intercept drones and had recorded a successful hit overnight.
European Commission President Ursula von der Leyen is outlining the EU's priorities in her annual State of the Union address, covering security, support for Ukraine, trade with China, migration, climate and artificial intelligence.
U.S. President Donald Trump said on Wednesday he hoped the war against Iran was nearing its end and that Tehran wanted to reach a deal, but Iran dismissed his comments as “mixed signals” as the conflict approaches its seventh month.
Here's your AnewZ Daily Brief for 18 September 2026. These are the top five stories making headlines in the field of science.
French prosecutors have launched a criminal investigation into suspected sexual harassment involving smart glasses, amid mounting global concern over the privacy risks posed by the devices.
Some of the world’s most powerful technology executives are lobbying U.S. President Donald Trump over artificial intelligence regulation, exposing growing divisions within the industry over how governments should respond to rapidly advancing AI.
Governments need to move faster to manage the security risks posed by artificial intelligence (AI), defence officials and experts warned at a major security conference in Beijing.
UN Secretary-General Antonio Guterres has warned that the world “cannot afford a race to the bottom” on artificial intelligence safety, calling for stronger global safeguards as increasingly powerful systems develop faster than understanding of their risks.
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