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Researchers have solved the problem of error correction in quantum computing.
Quantum computers promise to achieve speeds and efficiencies unattainable by even the fastest supercomputers today. However, the technology has not yet been widely scaled and commercialized, mainly due to its inability to self-correct. Unlike classical computers, quantum computers cannot correct errors by copying encoded data.
However, a recent paper in the journal Nature demonstrates the potential of Harvard's quantum computing platform to solve this important problem, known as quantum error correction. The Harvard team is led by quantum optics expert Mikhail Lukin. The work was the result of a collaboration between Harvard, MIT, and QuEra Computing of Boston.
The Harvard platform is based on an array of cold rubidium atoms. Each atom acts as a bit or "qubit" in the quantum world, performing extremely fast calculations. The team's main innovation is to set up their "neutral atomic array" so that it can dynamically change its structure during calculations.
In a new paper, the team reports on the near-flawless performance of its two-qubit gates with extremely low error rates. For the first time, scientists have managed to entangle atoms with error rates below 0.5%. This puts their technology on a par with other leading types of quantum computing platforms.
The main advantage of the Harvard approach over its competitors is the large size of the system, efficient control of qubits, and the ability to dynamically rearrange the structure of atoms. Simon Evered, a Harvard student, noted: "Our error is now so low that we can group atoms into logical qubits that will have even smaller errors than individual atoms."
These Harvard achievements, along with other innovations, laid the foundation for quantum error correction algorithms and large-scale quantum computing.
Mikhail Lukin stressed the importance of this progress: "These results open the door to new opportunities in scalable quantum computing. We have an exciting time ahead for this entire field."
Quantum computers promise to achieve speeds and efficiencies unattainable by even the fastest supercomputers today. However, the technology has not yet been widely scaled and commercialized, mainly due to its inability to self-correct. Unlike classical computers, quantum computers cannot correct errors by copying encoded data.
However, a recent paper in the journal Nature demonstrates the potential of Harvard's quantum computing platform to solve this important problem, known as quantum error correction. The Harvard team is led by quantum optics expert Mikhail Lukin. The work was the result of a collaboration between Harvard, MIT, and QuEra Computing of Boston.
The Harvard platform is based on an array of cold rubidium atoms. Each atom acts as a bit or "qubit" in the quantum world, performing extremely fast calculations. The team's main innovation is to set up their "neutral atomic array" so that it can dynamically change its structure during calculations.
In a new paper, the team reports on the near-flawless performance of its two-qubit gates with extremely low error rates. For the first time, scientists have managed to entangle atoms with error rates below 0.5%. This puts their technology on a par with other leading types of quantum computing platforms.
The main advantage of the Harvard approach over its competitors is the large size of the system, efficient control of qubits, and the ability to dynamically rearrange the structure of atoms. Simon Evered, a Harvard student, noted: "Our error is now so low that we can group atoms into logical qubits that will have even smaller errors than individual atoms."
These Harvard achievements, along with other innovations, laid the foundation for quantum error correction algorithms and large-scale quantum computing.
Mikhail Lukin stressed the importance of this progress: "These results open the door to new opportunities in scalable quantum computing. We have an exciting time ahead for this entire field."
