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Home » AWS Unveils Ocelot, Quantum Chip That Slashes Error Correction Costs by 90%

AWS Unveils Ocelot, Quantum Chip That Slashes Error Correction Costs by 90%

Joan Aimuengheuwa by Joan Aimuengheuwa
February 27, 2025
in DisruptiveTECH
0
AWS Unveils Ocelot, a Quantum Chip That Slashes Error Correction Costs by 90%
Source: Amazon

Source: Amazon

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Amazon Web Services (AWS) has launched Ocelot, a new quantum computing chip designed to reduce the cost of quantum error correction. 

The chip, developed by the AWS Center for Quantum Computing in collaboration with the California Institute of Technology, is said to reduce these costs by up to 90% compared to existing methods.

This could help in creating fault-tolerant quantum computers that would tackle complex problems beyond what traditional computing systems can do.

A key feature of Ocelot is its innovative approach to quantum error correction. AWS researchers built the chip from the ground up with error suppression in mind, incorporating ‘cat qubits’—a type of qubit inspired by Schrödinger’s cat thought experiment.

These qubits naturally counteract certain types of errors, which in turn minimises the resources required for error correction. With the integration of cat qubits with additional error-correcting components on a microchip, AWS has managed to create a scalable design that can be produced using standard microelectronics manufacturing techniques.

Oskar Painter, AWS director of Quantum Hardware, stated, “With the recent advancements in quantum research, it is no longer a matter of if, but when practical, fault-tolerant quantum computers will be available for real-world applications. Ocelot is an important step on that journey.” 

He further explained that the architecture could make future quantum chips five times cheaper than current models, potentially speeding up the development of a practical quantum computer by several years.

Why Quantum Error Correction Matters

One of the biggest challenges in quantum computing is maintaining stability. Quantum systems are highly sensitive to external disturbances such as heat, electromagnetic interference, and even cosmic radiation.

These factors can cause qubits to lose their state, leading to computational errors. While traditional quantum error correction techniques involve encoding quantum information across multiple qubits to detect and fix errors, they require an enormous number of qubits, making them costly and complex.

Ocelot aims to overcome this limitation by embedding error correction directly into the chip’s design rather than adding it as an afterthought. “We looked at how others were approaching quantum error correction and decided to take a different path,” Painter explained.

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“We didn’t take an existing architecture and then try to incorporate error correction afterwards. We selected our qubit and architecture with quantum error correction as the top requirement.” 

According to him, this approach could require just a fraction of the resources typically needed for error correction, making scalable quantum computing more achievable.

How Ocelot Works

Ocelot consists of two stacked microchips, each measuring about one square centimetre, with superconducting materials forming its quantum circuits.

The chip features 14 core components, including five cat qubits responsible for computation, stabilising buffer circuits, and additional qubits for error detection. These qubits rely on high-quality oscillators made from a superconducting material called tantalum, which AWS scientists have optimised to enhance performance.

With quantum chip designs like Ocelot, AWS hopes to rev the real-world application of quantum computing. Potential uses range from drug discovery and material science to financial modelling and risk assessment. However, the chip is still in its prototype phase, and further research is needed to fully realise its prospect.

AWS is continually investing in quantum computing advancements, following a methodical approach similar to how it developed its Graviton processors for cloud computing.

“We’re just getting started and we believe we have several more stages of scaling to go through,” Painter noted. “It’s a very tough problem to tackle, and we will need to continue investing in basic research while staying connected to important work being done in academia.”

For those interested in exploring quantum computing today, AWS offers Amazon Braket, a cloud-based service that provides access to various quantum computing platforms.

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Tags: Amazon Web Services (AWS)AWS Quantum ChipAWS researchersOcelotOskar PainterQuantum Computing
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