output
20172025
most citedDynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks

127 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

5 papers · 1 filter

quant-ph2023★ 7 cited

Capturing long-range memory structures with tree-geometry process tensors

Neil Dowling, Kavan Modi, Roberto N. Muñoz +2

We introduce a class of quantum non-Markovian processes -- dubbed process trees -- that exhibit polynomially decaying temporal correlations and memory distributed across time scale…

quant-ph2023★ 3 cited

Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks

Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martinez +1

Here we introduce an improved approach to Variational Quantum Attack Algorithms (VQAA) on crytographic protocols. Our methods provide robust quantum attacks to well-known cryptogra…

quant-ph2023★ 63 cited

Efficient tensor network simulation of IBM's largest quantum processors

Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh +1

We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 q…

quant-ph2023★ 54 cited

Decoding algorithms for surface codes

Antonio deMarti iOlius, Patricio Fuentes, Román Orús +2

Quantum technologies have the potential to solve certain computationally hard problems with polynomial or super-polynomial speedups when compared to classical methods. Unfortunatel…

quant-ph2023★ 12 cited

Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning

Pablo Bermejo, Borja Aizpurua, Roman Orus

Machine learning algorithms, both in their classical and quantum versions, heavily rely on optimization algorithms based on gradients, such as gradient descent and alike. The overa…