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Quemix & Sumitomo Rubber Scale Readout With Fewer Quantum Gates

Dr. Donovan
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⚡ Quantum Brief
Quemix, working with Sumitomo Rubber Industries, Ltd., has detailed a new method for extracting data from quantum computations that scales logarithmically with problem size. The team reports demonstrating a “Fourier space readout (FSR) method” for efficiently recovering functions encoded in quantum states, a critical step in applying quantum computers to complex engineering challenges. This quantum-classical hybrid approach obtains key data on a quantum computer and reconstructs the full function using classical computation, potentially preserving speedups for computer-aided engineering (CAE) problems.
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Quemix, working with Sumitomo Rubber Industries, Ltd., has detailed a new method for extracting data from quantum computations that scales logarithmically with problem size.

The team reports demonstrating a “Fourier space readout (FSR) method” for efficiently recovering functions encoded in quantum states, a critical step in applying quantum computers to complex engineering challenges. This quantum-classical hybrid approach obtains key data on a quantum computer and reconstructs the full function using classical computation, potentially preserving speedups for computer-aided engineering (CAE) problems. According to the researchers, the quantum computer’s workload increases with the logarithm of grid points, unlike traditional methods where cost rises linearly; this finding appears in the journal Quantum Science and Technology. This suggests a path toward tackling increasingly complex CAE tasks with quantum systems, extending beyond typical pharmaceutical and financial applications. Theoretical analysis and numerical experiments reveal the quantum computer’s workload increases logarithmically with the number of grid points, a significant advantage over traditional linear scaling. Unlike methods that require processing every grid point, this approach focuses on the most significant data, reducing the quantum computer’s burden. The researchers found the classical computer’s workload scales with the number of points needing reconstruction, not the total grid points, further enhancing efficiency. This preservation of quantum speedups during the readout process is critical for realizing practical quantum advantages in fields like materials science and beyond, offering a potential solution to limitations encountered when applying quantum computers to complex simulations. The pursuit of practical quantum computing for complex engineering tasks received a boost with this new approach to data extraction from quantum systems, potentially enabling more efficient simulations and analyses. Source: https://www.quemix.com/en/post/en-20260728-1 Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Dr. Donovan Dr. Donovan is a futurist and technology writer covering the quantum revolution. Where classical computers manipulate bits that are either on or off, quantum machines exploit superposition and entanglement to process information in ways that classical physics cannot. Dr. Donovan tracks the full quantum landscape: fault-tolerant computing, photonic and superconducting architectures, post-quantum cryptography, and the geopolitical race between nations and corporations to achieve quantum advantage. The decisions being made now, in research labs and government offices around the world, will determine who controls the most powerful computers ever built. Latest Posts by Dr. Donovan: Zinc Oxide Hosts First Molybdenum-Vacancy Spin Qubit July 28, 2026 Optical Setup Probes Limits of Quantum Time Travel July 28, 2026 SSP-QST Cuts Photonic Quantum State Tomography Shot Count 8× July 27, 2026

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Source: Quantum Zeitgeist

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