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20 papers
Application of Quantum Machine Learning using the Quantum Kernel Algorithm on High Energy Physics Analysis at the LHC
Sau Lan Wu, Shaojun Sun, Wen Guan +20
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in High Energy Physics by offering computational speed-ups. In…
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information
Julien Gacon, Christa Zoufal, Giuseppe Carleo +1
The Quantum Fisher Information matrix (QFIM) is a central metric in promising algorithms, such as Quantum Natural Gradient Descent and Variational Quantum Imaginary Time Evolution.…
A Threshold for Quantum Advantage in Derivative Pricing
Shouvanik Chakrabarti, Rajiv Krishnakumar, Guglielmo Mazzola +3
We give an upper bound on the resources required for valuable quantum advantage in pricing derivatives. To do so, we give the first complete resource estimates for useful quantum d…
Quantum speedups for convex dynamic programming
David Sutter, Giacomo Nannicini, Tobias Sutter +1
We present a quantum algorithm to solve dynamic programming problems with convex value functions. For linear discrete-time systems with a -dimensional state space of size , t…
The power of quantum neural networks
Amira Abbas, David Sutter, Christa Zoufal +3
Fault-tolerant quantum computers offer the promise of dramatically improving machine learning through speed-ups in computation or improved model scalability. In the near-term, howe…
Quantum algorithm for alchemical optimization in material design
Panagiotis Kl. Barkoutsos, Fotios Gkritsis, Pauline J. Ollitrault +3
The development of tailored materials for specific applications is an active field of research in chemistry, material science and drug discovery. The number of possible molecules t…