Iordanis Kerenidis
4 papers in the PaperMetrix corpus
Papers by this author
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q-means: A quantum algorithm for unsupervised machine learning
2018 · arXiv (Cornell University)
Quantum machine learning is one of the most promising applications of a full-scale quantum computer. Over the past few years, many quantum machine learning algorithms have been proposed that can potentially offer considerable speedups over …
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Low depth algorithms for quantum amplitude estimation
2020 · arXiv (Cornell University)
We design and analyze two new low depth algorithms for amplitude estimation (AE) achieving an optimal tradeoff between the quantum speedup and circuit depth. For $β\in (0,1]$, our algorithms require $N= \tilde{O}( \frac{1}{ ε^{1+β}})$ oracle …
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Improved clinical data imputation via classical and quantum determinantal point processes
2023 · eLife
Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability of the imputation is of great importance. Currently, …
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Quantum Agents for Algorithmic Discovery
2025 · arXiv (Cornell University)
We introduce quantum agents trained by episodic, reward-based reinforcement learning to autonomously rediscover several seminal quantum algorithms and protocols. In particular, our agents learn: efficient logarithmic-depth quantum circuits for the Quantum Fourier Transform; Grover's search …