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Delft Researchers Achieve Continuous Control of Logical Qubits in Quantum Computing

Delft's breakthrough allows for continuous-angle logical rotations, benefiting quantum simulations and complex algorithms. The method minimizes errors even in noisy environments.

This picture shows few cross symbols and few papers and key chains on the glass table.
This picture shows few cross symbols and few papers and key chains on the glass table.

Delft Researchers Achieve Continuous Control of Logical Qubits in Quantum Computing

Researchers at Delft University of Technology have made a significant breakthrough in quantum computing. They've identified a phase in the surface code where continuous, precise control of logical qubits is possible, paving the way for practical, fault-tolerant quantum computation.

The team's protocol, published in Nature, introduces a low-cost adaptive method for implementing tunable, fault-tolerant logic gates using only transversal operations and syndrome measurements. This is particularly advantageous for algorithms requiring many small rotations, as the range of reachable logical rotation angles decreases with increasing code size.

The team developed a strategy to minimize logical dephasing errors in the surface code. They used tensor networks and value iteration to find the optimal policy for applying rotations, effectively minimizing errors even in the presence of noise. This method enables continuous-angle logical rotations, benefiting applications requiring numerous small-angle rotations, such as quantum simulation.

The protocol exploits a stable logical coherent phase within a specific range of physical parameters. In this phase, the mean relative dephasing approaches zero as the code size increases, leading to exponentially suppressed errors in logical rotations and reducing the overhead required for complex quantum computations.

The team's work demonstrates a method for performing continuous-angle logical rotations in the surface code, allowing the creation of continuously tunable logical unitaries for executing more complex quantum algorithms. Future research directions include assessing performance with realistic noise models and exploring applications to more efficient quantum codes.

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