Uploaded June 2026 | Updated September 2026, 2 weeks ago
Toward Practical Automotive Aerodynamic Design: The Frontiers of Quantum Fluid Simulation Beyond Toy Models |
黄欣馳 - Xinchi Huang, Research Scientist, Quemix, Inc. and
内村允宣 - Masanobu Uchimura, Senior Manager, Nissan Motor Co., Ltd.
q2b.qcware.com
Toward Practical Automotive Aerodynamic Design: The Frontiers of Quantum Fluid Simulation Beyond Toy Models |
黄欣馳 - Xinchi Huang, Research Scientist, Quemix, Inc. and
内村允宣 - Masanobu Uchimura, Senior Manager, Nissan Motor Co., Ltd.
q2b.qcware.com






![Q2B25 Paris | Pierre Emmanuel Emeriau, Quantum Algorithms Lead, Quandela
Towards Quantum Energetic Advantage in Photonic Quantum Computing:
The energy consumption of quantum computers is emerging as a critical metric for their scalability and societal impact. In this work, we present the first quantitative analysis of the energetic efficiency of photonic quantum computers, using Boson Sampling as a case study. We evaluate the energy cost of state-of-the-art photonic hardware and identify operational regimes where photonic platforms consume less energy per sample than both classical supercomputers and superconducting quantum processors. Remarkably, this quantum energetic advantage appears even before the threshold for computational advantage.
To explore business applications of this finding, we are partnering with BTQ to investigate the role of energy-efficient photonic sampling in blockchain consensus protocols, as outlined in their recent proposal on quantum Proof-of-Work [arXiv:2305.19865]. This partnership highlights how energetic considerations can accelerate the path from fundamental quantum research to scalable, sustainable, and commercially relevant use cases.
https://q2b.qcware.com/ Q2B25 Paris | Pierre Emmanuel Emeriau, Quantum Algorithms Lead, Quandela](https://i.ytimg.com/vi/Z62cnD0UL5A/mqdefault.jpg)



