Marco Pistoia

Shi, K. ., Chakraborty, K. ., Kon, W. ., Amer, O. ., Pistoia, M. ., & Lim, C. . (2024). On the Relativistic Zero Knowledge Quantum Proofs of Knowledge. ArXiv. Retrieved from https://arxiv.org/abs/2409.03635 (Original work published September 2024)

Shi, K. ., Herrman, R. ., Shaydulin, R. ., Chakrabarti, S. ., Pistoia, M. ., & Larson, J. . (2022). Multiangle QAOA Does Not Always Need All Its Angles. In 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC) (pp. 414–419). IEEE. http://doi.org/10.1109/sec54971.2022.00062 (Original work published December 2022)

Pistoia, M. ., Ahmad, S. ., Ajagekar, A. ., Buts, A. ., Chakrabarti, S. ., Herman, D. ., … Yalovetzky, R. . (2021). Quantum Machine Learning for Finance. ArXiv. Retrieved from https://arxiv.org/abs/2109.04298 (Original work published September 2021)

Niroula, P. ., Shaydulin, R. ., Yalovetzky, R. ., Minssen, P. ., Herman, D. ., Hu, S. ., & Pistoia, M. . (2022). Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer. Scientific Reports, 12(1). http://doi.org/10.1038/s41598-022-20853-w (Original work published October 2022)