Department of Intelligent Mechatronics, Akita Prefectural University, Japan
1 pm – 2 pm MST, March 5, 2024 at NRC-NANO
Meeting ID: 865 8201 8405
Passcode: 877987
Despite the hype and enormous investment, quantum computing faces a challenge today: scarcity of applications. For example, post-quantum cryptography threatens the utility of even Shor’s algorithm; theoretical underpinning for quantum machine learning/optimization is shaky; and the large overhead associated with error correction tends to diminish the value of algorithms with polynomial quantum advantage [1].
Here I present a generalized form of quantum electron microscopy (QEM) [2] and argue that QEM could be a much-desired application of near-term quantum computing: First, unlike standard quantum computing, it will have a provable advantage over its classical counterpart. Second, the afforded improvement will be relevant to important problems in biology and possibly in materials science. Third and finally, a small quantum computer, or even a single qubit, would deliver significant advantage, making electron microscopy an ideal platform to develop quantum computing technologies.
Universal quantum electron microscoep at the conceptual level.
[1] R. Babbush et al., PRX Quantum 2, 010103 (2021).
[2] H. Okamoto, arXiv:2209.04819v2 [quant-ph], under review.
