Harvard Researchers Propose Innovative Technique to Enhance Error-Resistance and Silence 'Noise' in Quantum Computing
Summary:
Harvard researchers have outlined a method to run quantum computing processes with greater error-resistance and noise suppression in their paper, "Logical quantum processor based on reconfigurable atom arrays". This breakthrough tackles the significant 'noise' obstacle in quantum computing, characterized by qubits being susceptible to errors. Although full error rectification is yet unachieved, the team's processor introduces a post-calculation error-detection phase that identifies and discards erroneous results. This signals an innovative pathway for quantum computers escaping the 'Noisy Intermediate-Scale Quantum' era, and achieving 'Quantum Advantage'. However, ongoing endeavor is needed for quantum systems to tackle major computational challenges, though the developed techniques are believed to be scalable.
Discussing the future of computing, technology experts often refer to quantum machines and their unique ability to solve problems that traditional binary systems struggle with. This superiority of quantum apparatus, known as "quantum advantage", requires these systems to be stable and scalable. According to specialists, noise is the crucial and largest obstacle hindering scalability in quantum computing. Harvard researchers have composed their findings in a paper, "Logical quantum processor based on reconfigurable atom arrays". This paper outlines how quantum calculations can be executed with improved resistance to errors and greater noise suppression. With this, they proclaim the beginning of early error-rectified quantum computation, mapping the route towards large-scale logical processors.
Current quantum computing systems with less than 1,000 qubits, the quantum equivalent of a computer bit, are categorised as Noisy Intermediate-Scale Quantum (NISQ) systems, so named because they are primarily "noisy". This 'noise' means qubits are susceptible to faults and mistakes; a predicament the Harvard researchers claim to have surmounted, achieving noise suppression on an unprecedented scale. They have not, however, managed to fully eliminate errors yet.
The primary challenge in quantum computing lies in the nature of qubits - they lose their data upon measurement. Unfortunately, measuring them is the only method of identifying errors. To fully rectify errors would mean inventing a quantum system capable of autonomously identifying and correcting errors throughout the computation process. However, this is a tough task to accomplish on a large scale.
Instead of amending errors mid-calculation, the Harvard team's processor introduces a post-calculation error-detection phase. This phase identifies and discards erroneous results. According to the research, this new approach may possibly fast-track the growth of quantum computing beyond the NISQ era, pushing us closer to the goal of quantum advantage.
Despite the progress, a statement from DARPA suggests that a great deal more than the 48 logical qubits used in the team's testing would be necessary to solve any significant issues that quantum computers are expected to tackle. However, the researchers maintain that the techniques they have developed could be expanded to quantum systems incorporating over 10,000 qubits.
Published At
12/8/2023 12:00:00 AM
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