Researchers in Australia have developed quantum error correction that cuts qubits and lowers hardware needs in IBM-backed study
Researchers in Australia have developed a new quantum error correction method that could significantly reduce the number of qubits required to design quantum computers .Led by Dominic Williamson, PhD, a theoretical quantum physicist at the University of Sydney, the study introduced a novel approach that applies gauge theory.
US’ IBM, also known as the Big Blue, backed the research. The company has already incorporated elements of the design into its long-term plans for quantum computing plans, an emerging technology expected to unlock advances in cryptography, materials science, drug discovery, and complex system modeling.However, transitioning from lab experiments to practical, fault-tolerant computers remains a major hurdle due to quantum error correction . “We’re at a point where theory and experiment are beginning to align,” Williamson pointed out. “The big question now is how to design quantum computers that can be scaled efficiently to solve useful problems,” he added. “Our work provides a promising blueprint.”A new qubit strategyQuantum computers rely on qubits, their fundamental units of information, which exist in a superposition of states. They can represent 0 and 1 at the same time. However, quantum states are extremely fragile and easily disrupted by noise and decoherence. To address the issue, scientists use quantum error correction, an algorithm known to identify and fix errors caused by these disruptions. But traditional approaches require large numbers of additional qubits. “Quantum computers perform calculations in a fundamentally different way to classical machines,” Williamson emphasized. “But any unintended interaction with the environment can destroy the very quantum effects that give them their power.”For the project, Williamson made use of gauge theory, a framework reconciling local interactions with global conservation laws, and found a way to track global quantum information activity across the system, similar to a quantum hard drive. This made it possible to monitor activity without forcing specific quantum states to collapse at the locality of individual qubits. “A gauge is just a mathematical construct that provides a set of local coordinates for any defined system we are studying,” Williamson said. “What is useful for us is that gauge theory allows for transformations of the coordinate system at the local level, while physically significant global properties of the system remain invariant.”Fixing errorsWilliamson said that the idea comes from the Standard Model and aims to reduce errors in quantum computing more efficiently. The approach uses a structure that connects quantum memory with a logical processor system. Meanwhile, synthetic ‘gauge-like’ degrees of freedom are introduced to measure global logical information without locally collapsing the encoded quantum state. The team arranged these using expander graphs for efficient scaling. Williamson said that gauge theory introduces additional degrees of freedom that track global properties without forcing the system into a definite local state. “We realized a similar idea could be used to process local quantum information,” he concluded in a press release.The research produced a flexible design for error-corrected quantum computing, that keeps advanced quantum memory efficient and adds processing capability. The system avoids excessive qubit duplication.The study has been published in the journal Nature Physics.
Australia Energy &Amp Environment IBM Inventions And Machines Physics Quantum Computers Quantum Error Correction Quantum Technology Qubits
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