Quantum Art expands wave simulation to buildings, sound, and materials

Quantum Art detailed a quantum algorithm in new research that solves wave-propagation problems previously intractable for classical supercomputers, unlocking simulation capabilities for seismic modeling, structural engineering and materials science. The company demonstrated large-scale wave simulation results in May through a collaborative project with a leading Israeli governmental research and development agency.

Unlike existing quantum methods, Quantum Art’s approach incorporates known wave physics to significantly reduce computational effort. “This paper explains the underlying science behind our approach and shows it is not limited to radio and electromagnetic signals,” said Amit Ben Kish, Chief Technology Officer at Quantum Art.

Wave Physics Shortcut in Quantum Algorithm Design

The ability to accurately model wave propagation across vast areas has expanded beyond radio frequencies thanks to a new quantum algorithm developed by Quantum Art. This expansion relies on incorporating established principles of wave physics directly into the quantum algorithm, rather than treating the problem as a generic mathematical puzzle. Unlike conventional quantum methods that exhaustively search for solutions, Quantum Art’s algorithm uses the fixed relationship between a wave’s frequency and speed in a given medium.

The team constructs a defined space of physically plausible wave directions, effectively creating a shortcut that bypasses unnecessary calculations. The same principle applies to any wave governed by a fixed relationship between frequency and speed, which opens the door to simulating problems in sound, radar and seismic wave propagation. Prior quantum attempts at these complex simulations faced significant limitations. Some methods required exponentially increasing computation time as the simulated area grew, while others, though theoretically sound, suffered from exceedingly low success rates on large-scale problems, demanding an impractical number of repetitions.

Quantum Art’s method circumvents these issues by focusing computational effort solely on the physically relevant portion of the solution space. As a result, the number of attempts needed to achieve a successful simulation remains relatively constant regardless of the area being modeled, and computational effort increases at a manageable rate as simulation detail increases. The implications of this advancement are substantial; a detailed, three-dimensional simulation of radio waves spanning tens of kilometers, accurate to the centimeter, could require between 10¹⁸ and 10²¹ classical grid points, a scale exceeding the capabilities of current supercomputers.

However, this level of simulation may be achievable with a quantum computer possessing approximately 100 qubits. The company’s multi-qubit gates further contribute to this potential by compressing circuit depth and minimizing error accumulation as systems scale up. The ability to efficiently model steady wave patterns across expansive regions marks a shift in simulation capabilities. For the first time, quantum computing offers a plausible pathway to accurately simulate phenomena like sound propagation, radar signals and seismic waves over distances previously inaccessible to classical computation.

This breakthrough promises to accelerate advancements in diverse fields, from optimizing building designs to improving earthquake prediction and enhancing materials science research. The team’s focus on integrating known physics into the quantum algorithm represents a departure from brute-force approaches.

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