Patrick Rebentrost

Quantum Hopfield neural network

2018 · Physical Review A

Neural networks, ubiquitous in machine learning, are generalized to the quantum realm. The method results in a network that can be exploited to offer exponential speedup on many applications, such as image processing and optimization, …

A Quantum Online Portfolio Optimization Algorithm

2022 · arXiv (Cornell University)

Portfolio optimization plays a central role in finance to obtain optimal portfolio allocations that aim to achieve certain investment goals. Over the years, many works have investigated different variants of portfolio optimization. Portfolio optimization also …

Post-variational quantum neural networks

2023 · arXiv (Cornell University)

Hybrid quantum-classical computing in the noisy intermediate-scale quantum (NISQ) era with variational algorithms can exhibit barren plateau issues, causing difficult convergence of gradient-based optimization techniques. In this paper, we discuss "post-variational strategies", which shift tunable …